Previous earthquakes indicate that near-source canyon topographic effect(NCTE)can substantially amplify the seismic responses of canyon-crossing bridges(CCBs).While the conventional practices are to make disaster resp...Previous earthquakes indicate that near-source canyon topographic effect(NCTE)can substantially amplify the seismic responses of canyon-crossing bridges(CCBs).While the conventional practices are to make disaster response decisions based on the deterministic approaches,they cannot provide a holistic view regarding the impacts of uncertainties of ground motions on CCBs.Thus,this study adopts the performance-based seismic assessment in a probabilistic framework to evaluate the seismic fragility of CCBs considering NCTE.For this purpose,a numerical model of a typical tall-pier CCB across a V-shaped canyon is constructed using OpenSees.Eighteen ground motions combined with NCTE are simulated using the region-matching method.Peak ground acceleration(PGA),spectral acceleration at the fundamental period T1(Sa(T1)),and peak ground velocity(PGV)are compared to determine the optimal intensity measure(IM).The probabilistic seismic demand models and fragility curves are constructed.The results show that PGV is the optimal IM for ground motions considering NCTE.The NCTE can significantly increase the damage probability of CCBs.The damage probability of the side bearing is the most sensitive to NCTE among the vulnerable components.The side pier bearings and the side piers on the illuminated canyon side may be the most vulnerable components considering the NCTE effect.展开更多
This study examines the seismic performance and post-earthquake recoverability of cable-stayed bridges,with the Tianhekou Bridge adopted as a prototype.A refined finite element model was established,and nonlinear dyna...This study examines the seismic performance and post-earthquake recoverability of cable-stayed bridges,with the Tianhekou Bridge adopted as a prototype.A refined finite element model was established,and nonlinear dynamic analyses were performed using ground motion records from the pacific earthquake engineering research center(PEER)database.The objectives were to assess site amplification effects,compare responses under impulsive and nonimpulsive excitations,and quantify structural vulnerability and recoverability.The results show that:1)the site effects markedly amplify peak ground acceleration(PGA)and alter waveform characteristics,thereby increasing seismic demand;2)transverse displacements exceed longitudinal responses,with impulsive motions producing the largest deformations,including a maximum of 0.35 m at pier 4#;3)vulnerability analysis reveals that the probability of severe damage in bearing 2#increases with PGA,reaching 84.65%at 1.0g;and 4)recoverability assessment indicates that the bearing system has the highest restoration potential(index=0.645),while the main girder system has the lowest(index=0.282).These findings provide a basis for enhancing the seismic resilience of cable-stayed bridges.展开更多
Overloaded traffic loads can increase the risk of bridge damage and reduce the service life of bridges.To further refine the research on the fragility analysis of different small and medium span bridges to traffic loa...Overloaded traffic loads can increase the risk of bridge damage and reduce the service life of bridges.To further refine the research on the fragility analysis of different small and medium span bridges to traffic loads by considering the regional characteristics of traffic loads.This article systematically conducts a traffic load fragility analysis of bridges,taking into account the structural characteristics of small-and mediumspan bridges and vehicle load characteristics within the region.First,statistical analysis is conducted on the collected measured traffic load data within a certain area,and the Metropolis-Hasting sampling algorithm and Copula function are used to consider the correlation of traffic load parameters to simulate random traffic flow.Then,the calculation method for the resistance level corresponding to the three states of bridge cracking,yielding,and failure is given.Finally,eight types bridges with a high proportion within a certain route is selected,and their fragility to traffic loads has been analyzed.The analysis indicates that the failure probability corresponding to cracking conditions exceeds the serviceability limit state target for all hollow slab bridges,even when the vehicle load limit is set at 15 t.Similarly,T-beam bridges are also relatively easy to enter a state of working with cracks.Furthermore,hollow slab bridges exhibit a higher failure probability than T-beam bridges under identical traffic loading conditions.This indicates that T-beam bridges are more suitable for the current traffic load conditions.In hollow slab bridges,the failure probability of 13m span and 16m is relatively high.In T-beam bridges,the probability of failure is relatively high for 30m span.These bridges should receive more attention in operation and maintenance work.The proposed fragility analysis method for traffic loads can facilitate bridge operation and maintenance,while also guiding the formulation of vehicle load limit policies.展开更多
The seismic fragility of reinforced concrete highway bridges has been found profoundly affected by corrosion-induced degradation.Traditional fragility analysis methods such as the Cloud and Incremental Dynamic Analysi...The seismic fragility of reinforced concrete highway bridges has been found profoundly affected by corrosion-induced degradation.Traditional fragility analysis methods such as the Cloud and Incremental Dynamic Analysis,while effective,they are computationally intensive and impractical for large-scale regional risk and resilience assessments.Additionally,they heavily rely on a predefined probabilistic assumption(i.e.,the lognormal distribution in seismic demand and capacity),whose validity remains unknown for corroded structures.To bridge this gap and circumvent this assumption,this study leverages machine learning(ML)to develop a damage-state-classification-driven seismic fragility modeling approach for corroded reinforced concrete bridge portfolios.A comprehensive database is developed through nonlinear time-history analyses,incorporating the effects of bridge structural variability,corrosion levels,and diverse seismic scenarios.Three popular ML classifiers,including artificial neural network(ANN),support vector machine,and K-nearest neighbor,are trained and rigorously optimized to map probabilities of damage states directly from structural features and seismic inputs.Analysis results showcase the efficiency and scalability of the ML-empowered method,which significantly reduces computational effort while maintaining well alignment with results from the Cloud method,particularly for the ANN-based one.展开更多
Fragility fractures represent a significant global health burden,with osteoporosis affecting over 500 million individuals and contributing to nearly 9 million fractures annually.Conventional diagnosis relies on dual-e...Fragility fractures represent a significant global health burden,with osteoporosis affecting over 500 million individuals and contributing to nearly 9 million fractures annually.Conventional diagnosis relies on dual-energy X-ray absorptiometry(DEXA)to measure bone mineral density(BMD),yet BMD alone explains only part of fracture risk.Many fractures occur in patients without osteoporosis by DEXA criteria,underscoring the limitations of bone quantitybased assessment.Advances in imaging and biomarker research highlight the importance of bone quality,microarchitecture,and marrow composition in fracture prediction.Quantitative magnetic resonance imaging(MRI)techniques-including T1ρ,T2 mapping,proton density fat fraction,and diffusion-weighted imaging-offer non-invasive insights into collagen integrity,proteoglycan content,water distribution,and marrow adiposity.These parameters correlate with trabecular deterioration and cortical porosity,enhancing risk stratification beyond BMD.Similarly,Vertebral Bone Quality(VBQ)scoring,derived from routine T1-weighted MRI,provides a practical surrogate for bone quality by quantifying vertebral marrow signal intensity relative to cerebrospinal fluid.Modified VBQ improves accuracy by minimising posterior vertebral artefacts,demonstrating stronger correlation with DEXA T scores and trabecular microarchitecture.Studies show VBQ predicts vertebral fragility fractures independently of BMD,with sensitivity exceeding 90%and discriminatory ability comparable to the fracture risk assessment tool and trabecular bone score.Integration of quantitative MRI and VBQ/modified VBQ into predictive models,supported by artificial intelligence,enables opportunistic,radiation-free screening and more precise fracture risk assessment.Together,these advanced imaging biomarkers represent a paradigm shift toward comprehensive evaluation of bone strength,bridging the gap between bone quantity and quality for improved prevention and management of fragility fractures.展开更多
Damage to electrical equipment in an earthquake can lead to power outage of power systems.Seismic fragility analysis is a common method to assess the seismic reliability of electrical equipment.To further guarantee th...Damage to electrical equipment in an earthquake can lead to power outage of power systems.Seismic fragility analysis is a common method to assess the seismic reliability of electrical equipment.To further guarantee the efficiency of analysis,multi-source uncertainties including the structure itself and seismic excitation need to be considered.A method for seismic fragility analysis that reflects structural and seismic parameter uncertainty was developed in this study.The proposed method used a random sampling method based on Latin hypercube sampling(LHS)to account for the structure parameter uncertainty and the group structure characteristics of electrical equipment.Then,logistic Lasso regression(LLR)was used to find the seismic fragility surface based on double ground motion intensity measures(IM).The seismic fragility based on the finite element model of an±1000 kV main transformer(UHVMT)was analyzed using the proposed method.The results show that the seismic fragility function obtained by this method can be used to construct the relationship between the uncertainty parameters and the failure probability.The seismic fragility surface did not only provide the probabilities of seismic damage states under different IMs,but also had better stability than the fragility curve.Furthermore,the sensitivity analysis of the structural parameters revealed that the elastic module of the bushing and the height of the high-voltage bushing may have a greater influence.展开更多
Type 2 diabetes markedly elevates fracture risk despite normal or high bone mineral density,a paradox reflecting qualitative skeletal deficits rather than loss of mass.Chronic hyperglycemia fosters the accumulation of...Type 2 diabetes markedly elevates fracture risk despite normal or high bone mineral density,a paradox reflecting qualitative skeletal deficits rather than loss of mass.Chronic hyperglycemia fosters the accumulation of advanced glycation end products in bone;their nonenzymatic crosslinks stiffen type I collagen,impair mineralization,and erode mechanical strength.By engaging the receptor for advanced glycation end products,these adducts activate nuclear factorκB and mitogen-activated protein kinase cascades,amplifying oxidative stress,inflammation,osteoblast dysfunction,and osteoclastogenesis.This review synthesizes epidemiological data from type 1 and type 2 diabetes,highlights the limits of densitybased skeletal assessment,and details the molecular pathology of the glycation-collagen axis.It also appraises antiglycation therapies,including formation inhibitors,crosslink breakers and receptor antagonists,with a particular focus on sodium-glucose cotransporter 2 inhibitors that couple glycemic control with modulation of the glycation pathway.By integrating recent basic and clinical advances,we propose a mechanistic framework for diabetic bone disease and outline strategies to mitigate glycationdriven skeletal fragility.展开更多
BACKGROUND Retrograde pubic ramus screw placement is an effective technique but requires substantial surgical expertise and specialized equipment.The management of osteoporotic anterior pelvic ring injuries remains ch...BACKGROUND Retrograde pubic ramus screw placement is an effective technique but requires substantial surgical expertise and specialized equipment.The management of osteoporotic anterior pelvic ring injuries remains challenging due to technical difficulties and a high risk of complications.AIM To introduce a novel and simplified surgical approach that utilizes a custom-designed handheld pelvic alignment guide(HPAG)in combination with a 6.0 mm hollow screw,aiming to enhance the accuracy,efficiency,and safety of retrograde pubic ramus screw fixation in osteoporotic pelvic fragility fractures.METHODS The HPAG and 6.0 mm hollow screw were employed during surgical treatment.A 2.0-3.0 cm incision was made to expose the optimal screw entry point.Intraop-erative pelvic inlet and obturator oblique views were used to monitor fracture reduction and guide screw insertion.Clinical outcomes and fracture reduction quality were evaluated using Matta,visual analog scale,and Majeed scores during follow-ups.A representative case is presented to demonstrate the surgical procedure in detail.RESULTS No perioperative complications were observed.The mean operative time was 35.2±6.97 minutes,with a screw insertion time of 7.25±1.86 minutes,an average incision length of 2.8±0.67 cm,and mean blood loss of 43.25±15.64 mL.At one-year follow-up,seven patients achieved excellent Majeed scores and three achieved good scores.CONCLUSION No perioperative complications were observed.The mean operative time was 35.2±6.97 minutes,with a screw insertion time of 7.25±1.86 minutes,an average incision length of 2.8±0.67 cm,and mean blood loss of 43.25±15.64 mL.At one-year follow-up,seven patients achieved excellent Majeed scores and three achieved good scores.展开更多
To improve the seismic performance of unrein-forced masonry(URM)buildings in the Himalayan re-gions,including Western China,India,Nepal,and Paki-stan,a low-cost bonded scrap tire rubber isolator(BSTRI)is proposed,and ...To improve the seismic performance of unrein-forced masonry(URM)buildings in the Himalayan re-gions,including Western China,India,Nepal,and Paki-stan,a low-cost bonded scrap tire rubber isolator(BSTRI)is proposed,and a series of vertical compression and horizontal shear tests are conducted.Incremental dynamic analyses are conducted for five types of BSTRI-supported URM buildings subjected to 22 far-field and 28 near-field earthquake ground motions.The resulting fragility curves and probability of damage curves are presented and utilized to evaluate the damage states of these buildings.The results show that in the base-isolated(BI)URM buildings under seismic ground motion at a peak ground acceleration(PGA)of 1.102g,the probability of exceeding the collapse prevention threshold is less than 25%under far-field earthquake ground motions and 31%under near-field earthquake ground motions.Furthermore,the maximum average vulnerability index for the BI-URM buildings,which are designed to withstand rare earthquakes with 9°(PGA=0.632g),is 40.87%for far-field earthquake ground motions and 41.83%for near-field earthquake ground motions.Therefore,the adoption of BSTRIs can significantly reduce the collapse probability of URM buildings.展开更多
Seismic fragility analysis(SFA)is known as an effective probabilistic-based approach used to evaluate seismic fragility.There are various sources of uncertainties associated with this approach.A nuclear power plant(NP...Seismic fragility analysis(SFA)is known as an effective probabilistic-based approach used to evaluate seismic fragility.There are various sources of uncertainties associated with this approach.A nuclear power plant(NPP)system is an extremely important infrastructure and contains many structural uncertainties due to construction issues or structural deterioration during service.Simulation of structural uncertainties effects is a costly and time-consuming endeavor.A novel approach to SFA for the NPP considering structural uncertainties based on the damage state is proposed and examined.The results suggest that considering the structural uncertainties is essential in assessing the fragility of the NPP structure,and the impact of structural uncertainties tends to increase with the state of damage.Subsequently,machine learning(ML)is found to be superior in high-precision damage state identification of the NPP for reducing the time of nonlinear time-history analysis(NLTHA)and could be applied in the damage state-based SFA.Also,the impact of various sources of uncertainties is investigated through sensitivity analysis.The Sobol and Shapley additive explanations(SHAP)method can be complementary to each other and able to solve the problem of quantifying seismic and structural uncertainties simultaneously and the interaction effect of each parameter.展开更多
The effect of seismic directionality is crucial for curved bridges,a subject generally overlooked in seismic vulnerability analysis.This paper focuses on seismic fragility development as a function of seismic incidenc...The effect of seismic directionality is crucial for curved bridges,a subject generally overlooked in seismic vulnerability analysis.This paper focuses on seismic fragility development as a function of seismic incidence directions for a geometrically curved bridge.A series of non-linear time history analyses were carried out for a representative finite element model of the bridge by considering actual ground motions.For reliable seismic demand models,a total of eleven intensity measures(IM)were analyzed based on optimality metrics.To quantify the sensitivity of fragility functions to input incidence directions,fragility surfaces were developed throughout the horizontal plane by considering spectral acceleration at one second(Sa1.0)as the optimal IM.Results show that the optimal IM ranking is insignificantly influenced by seismic directionality.However,seismic orientation influences fragility,which intensifies in higher damage states,particularly for piers.For a bridge system,the differences in median demand corresponding to the least and most vulnerable direction for slight,moderate,extensive,and collapse states are about 9.0%,7.31%,10.32%,and 11.60%,respectively.These results imply that while evaluating the vulnerability of curved bridges,the optimality of IM in demand estimation and the impact of seismic directionality should not be disregarded.展开更多
This study presents a fragility curve to assess explosively induced damage to military vehicle tires based on shock tube experiments.To replicate lateral damage scenarios that may occur in real battlefield environment...This study presents a fragility curve to assess explosively induced damage to military vehicle tires based on shock tube experiments.To replicate lateral damage scenarios that may occur in real battlefield environments involving missile or bomb detonations,extreme overpressure conditions were generated using a shock tube.The influence of explosive charge mass on tire damage was quantitatively evaluated.Experimental results identified two critical failure thresholds:for loss of pressure,the threshold was 354 kPa peak overpressure and 3052 kPa·ms impulse;for rupture,the values were 485 kPa and 4237 kPa-ms,respectively.The same damage profile was reproduced through finite element analysis(FEA),verifying the reliability of the simulation.A Single Degree of Freedom(SDOF)model and Kingery-Bulmash(K-B)chart were employed to generate pressure-impulse data as a function of standoff distance.These data were applied to a finite element tire model using the BLAST ENHANCED keyword in LS-DYNA.The applied peak overpressures were identical to the experimental values with a 24%-27%difference in impulse.The simulation also captured recurring bead rim separation phenomenon,leading to internal pressure loss consistent with high-speed camera observations from the experiments.The resulting fragility curve clearly defines the threshold conditions for tire damage and provides a standardized damage assessment model applicable to various explosive charge masses and stand-off distances.The proposed model offers a quantitative basis for evaluating tire vulnerability,providing foundational reference data for defense applications.Specifically,the findings are expected to serve as a reliable source for weapon effects analysis and target vulnerability assessments involving wheeled military vehicles.展开更多
Background:Global spread and impact of the coronavirus disease 2019(COVID-19)pandemic are determined to a large extent,by resistance to the pandemic and public response of all countries in the world;while a country...Background:Global spread and impact of the coronavirus disease 2019(COVID-19)pandemic are determined to a large extent,by resistance to the pandemic and public response of all countries in the world;while a country's resistance and response are in turn determined by its political and socio economic conditions.To inform future disease prevention and control,we analyzed global data to exam the relationship between state vulnerabilities and COVID-19 incidences and deaths.Methods:Vulnerability was measured using the Fragile States Index(FSI).FSI is created by the Fund for Peace to assess levels of fragility for individual countries.Total FSI score and scores for 12 specific indicators were used as the predictor variables.Outcome variables were national cumulative COVID-19 cases and deaths up to September 16,2020,derived from the World Health Organization.Cumulative incidence rates were computed using 2019 National population derived from the World Bank,and case fatality rates were computed as the ratio of deaths/COVID-19 cases.Countries with incomplete data were excluded,yielding a final sample of 146 countries.Multivariate regression was used to examine the association between the predictor and the outcome measures.Results:There were dramatic cross-country variations in both FSI and COVID-19 epidemiological measurements.FSI total scores were negatively associated with both COVID-19 cumulative incidence rates(β=-0.0135,P<0.001)and case fatality rates(β=-0.0147,P<0.05).Of the 12 FSI indicators,three negatively associated with COVID-19 incidences were E1(Economic Decline and Poverty),E3(Human Flight and Brain Drain),and S2(Refugees and Internally Displaced Persons);two positively associated were P1(State Legitimacy)and X1(External Intervention).With regard to association with case fatality rates,C1(Security Apparatus)was positive,and P3(Human Rights and Rule of Law)and X1 was negative.Conclusion:With FSI measures by the Fund of Peace,overall,more fragile countries are less likely to be affected by the COVID-19 pandemic,and even if affected,death rates were lower.However,poor in state legitimacy and lack of external intervention are risk for COVID-19 infection and lack of security apparatus is risky for COVID-19 death.Implications of the study findings are discussed and additional studies are needed to examine the mechanisms underpinning these relationships.展开更多
This paper presents a copula technique to develop time-variant seismic fragility curves for corroded bridges at the system level and considers the realistic time-varying dependence among component seismic demands. Bas...This paper presents a copula technique to develop time-variant seismic fragility curves for corroded bridges at the system level and considers the realistic time-varying dependence among component seismic demands. Based on material deterioration mechanisms and incremental dynamic analysis, the time-evolving seismic demands of components were obtained in the form of marginal probability distributions. The time-varying dependences among bridge components were then captured with the best fitting copula function, which was selected from the commonly used copula classes by the empirical distribution based analysis method. The system time-variant fragility curves at different damage states were developed and the effects of time-varying dependences among components on the bridge system fragility were investigated. The results indicate the time-varying dependence among components significantly affects the time-variant fragility of the bridge system. The copula technique captures the nonlinear dependence among component seismic demands accurately and easily by separating the marginal distributions and the dependence among them.展开更多
Fragility analysis for highway bridges has become increasingly important in the risk assessment of highway transportation networks exposed to seismic hazards. This study introduces a methodology to calculate fragility...Fragility analysis for highway bridges has become increasingly important in the risk assessment of highway transportation networks exposed to seismic hazards. This study introduces a methodology to calculate fragility that considers multi-dimensional performance limit state parameters and makes a first attempt to develop fragility curves for a multi-span continuous (MSC) concrete girder bridge considering two performance limit state parameters: column ductility and transverse deformation in the abutments. The main purpose of this paper is to show that the performance limit states, which are compared with the seismic response parameters in the calculation of fragility, should be properly modeled as randomly interdependent variables instead of deterministic quantities. The sensitivity of fragility curves is also investigated when the dependency between the limit states is different. The results indicate that the proposed method can be used to describe the vulnerable behavior of bridges which are sensitive to multiple response parameters and that the fragility information generated by this method will be more reliable and likely to be implemented into transportation network loss estimation.展开更多
Following several damaging earthquakes in China, research has been devoted to find the causes of the collapse of reinforced concrete (RC) building sand studying the vulnerability of existing buildings. The Chinese C...Following several damaging earthquakes in China, research has been devoted to find the causes of the collapse of reinforced concrete (RC) building sand studying the vulnerability of existing buildings. The Chinese Code for Seismic Design of Buildings (CCSDB) has evolved over time, however, there is still reported earthquake induced damage of newly designed RC buildings. Thus, to investigate modern Chinese seismic design code, three low-, mid- and high-rise RC frames were designed according to the 2010 CCSDB and the corresponding vulnerability curves were derived by computing a probabilistic seismic demand model (PSDM).The PSDM was computed by carrying out nonlinear time history analysis using thirty ground motions obtained from the Pacific Earthquake Engineering Research Center. Finally, the PSDM was used to generate fragility curves for immediate occupancy, significant damage, and collapse prevention damage levels. Results of the vulnerability assessment indicate that the seismic demands on the three different frames designed according to the 2010 CCSDB meet the seismic requirements and are almost in the same safety level.展开更多
Flexible pipelines are often used to connect hard pipes from a foundation to a superstructure to accommodate large deformation in the base isolation layer during an earthquake.Although Chinese seismic design guideline...Flexible pipelines are often used to connect hard pipes from a foundation to a superstructure to accommodate large deformation in the base isolation layer during an earthquake.Although Chinese seismic design guidelines suggest several confi gurations,they are diff erent from the designs that have been proven in practice,e.g.,Japanese styles,and extensive experimental investigation into their seismic performance is required.Three types of seals,rubber-,metal-and asbestinebased,were tested quasi-statically with infi lled pressurized water at 2.5 MPa.The asbestine-based seal leaked at a smaller deformation than the other two types of seals.Based on the test results,three damage states were defi ned and the deformation capacity was estimated.To evaluate their performance,a three-dimensional model of a base-isolated medical building was developed using OpenSees,with the fl exible pipelines simulated by a mechanical model calibrated from the experimental data.A probabilistic seismic demand model and the fragility function of the fl exible pipelines were then developed to evaluate the seismic performance.展开更多
The Himalayan region is one of the major seismic areas in the world.However,similar to many other seismically active locations,there are substantial numbers of unreinforced masonry(URM)buildings;the majority of which ...The Himalayan region is one of the major seismic areas in the world.However,similar to many other seismically active locations,there are substantial numbers of unreinforced masonry(URM)buildings;the majority of which have not been designed for seismic loads.Past seismic events have shown that such buildings are highly vulnerable to earthquakes.Retrofitting of these URM buildings is an important concern in earthquake mitigation programs.Most government school buildings in rural areas of northern India are constructed of unreinforced masonry.These school buildings are socially important structures and serve as a crucial resource for rehabilitation during any disaster.The effectiveness of ferrocement(FC)to create a URM-FC composite is described in this study by estimating the performance and fragility of a URM school building before and after a retrofit.Analytical models,based on the equivalent frame method,are developed and used for nonlinear static analysis to estimate the enhancement in capacity.The capacity enhancement due to retrofitting is presented in terms of the maximum PGA sustained and damage probabilities at the expected level of earthquake hazard.展开更多
An offshore long-span continuous rigid-frame bridge is taken as an example to study the effect of degradation of bond-slip behavior on the seismic performance of bridges in an offshore environment during a service per...An offshore long-span continuous rigid-frame bridge is taken as an example to study the effect of degradation of bond-slip behavior on the seismic performance of bridges in an offshore environment during a service period.On the basis of a numerical simulation analysis using the OpenSeeS platform,the influence of durability degradation of concrete carbonization,steel corrosion,and degradation of bond-slip performance is considered collectively using incremental dynamic analysis method to examine the time-varying seismic fragility of the offshore bridge.Results show that when bond slip is considered,the exceedance probability of the bridge components and the system increases significantly,and the durability degradation caused by concrete carbonization and chloride ion erosion in the whole life cycle increases the seismic response of the bridge structure.The results of the proposed time-varying seismic fragility analysis indicate that,considering the degradation of bond-slip behavior of reinforced concrete after the durability degradation of materials,the exceedance probability of the pier,bearing,abutment,and system increases with the extension of service period and the increase in seismic strength under earthquake action.In addition,with the extension of service time,the effect of bond slip on the seismic fragility of components and system gradually decreases.展开更多
Steel frames equipped with buckling restrained braces(BRBs)have been increasingly applied in earthquake-prone areas given their excellent capacity for resisting lateral forces.Therefore,special attention has been paid...Steel frames equipped with buckling restrained braces(BRBs)have been increasingly applied in earthquake-prone areas given their excellent capacity for resisting lateral forces.Therefore,special attention has been paid to the seismic risk assessment(SRA)of such structures,e.g.,seismic fragility analysis.Conventional approaches,e.g.,nonlinear finite element simulation(NFES),are computationally inefficient for SRA analysis particularly for large-scale steel BRB frame structures.In this study,amachine learning(ML)-based seismic fragility analysis framework is established to effectively assess the risk to structures under seismic loading conditions.An optimal artificial neural network model can be trained using calculated damage and intensity measures,a technique which will be used to compute the fragility curves of a steel BRB frame instead of employing NFES.Numerical results show that a highly efficient instantaneous failure probability assessment can be made with the proposed framework for realistic large-scale building structures.展开更多
基金Projects(52278151,52578180,525B2129)supported by the National Natural Science Foundation of ChinaProject(BK20230087)supported by the Excellent Youth Fund Project of Jiangsu Province,China+1 种基金Project(23-JKKJ-47)supported by the Research Projects of Shanxi Transportation Holdings Group Co.,Ltd.,ChinaProject(2023AH050175)supported by the University Research Projects of Anhui Province,China。
摘要Previous earthquakes indicate that near-source canyon topographic effect(NCTE)can substantially amplify the seismic responses of canyon-crossing bridges(CCBs).While the conventional practices are to make disaster response decisions based on the deterministic approaches,they cannot provide a holistic view regarding the impacts of uncertainties of ground motions on CCBs.Thus,this study adopts the performance-based seismic assessment in a probabilistic framework to evaluate the seismic fragility of CCBs considering NCTE.For this purpose,a numerical model of a typical tall-pier CCB across a V-shaped canyon is constructed using OpenSees.Eighteen ground motions combined with NCTE are simulated using the region-matching method.Peak ground acceleration(PGA),spectral acceleration at the fundamental period T1(Sa(T1)),and peak ground velocity(PGV)are compared to determine the optimal intensity measure(IM).The probabilistic seismic demand models and fragility curves are constructed.The results show that PGV is the optimal IM for ground motions considering NCTE.The NCTE can significantly increase the damage probability of CCBs.The damage probability of the side bearing is the most sensitive to NCTE among the vulnerable components.The side pier bearings and the side piers on the illuminated canyon side may be the most vulnerable components considering the NCTE effect.
基金joint supported by Key Research and Development Program of Sichuan Provincial Science and Technology Plan(No.2024YFTX0037)Sichuan Science and Technology Program(No.2024NSFSC0932)National Natural Science Foundation of China(Grant No.52008047)。
摘要This study examines the seismic performance and post-earthquake recoverability of cable-stayed bridges,with the Tianhekou Bridge adopted as a prototype.A refined finite element model was established,and nonlinear dynamic analyses were performed using ground motion records from the pacific earthquake engineering research center(PEER)database.The objectives were to assess site amplification effects,compare responses under impulsive and nonimpulsive excitations,and quantify structural vulnerability and recoverability.The results show that:1)the site effects markedly amplify peak ground acceleration(PGA)and alter waveform characteristics,thereby increasing seismic demand;2)transverse displacements exceed longitudinal responses,with impulsive motions producing the largest deformations,including a maximum of 0.35 m at pier 4#;3)vulnerability analysis reveals that the probability of severe damage in bearing 2#increases with PGA,reaching 84.65%at 1.0g;and 4)recoverability assessment indicates that the bearing system has the highest restoration potential(index=0.645),while the main girder system has the lowest(index=0.282).These findings provide a basis for enhancing the seismic resilience of cable-stayed bridges.
基金China Postdoctoral Science Foundation(2024M762770)General Project of the Shaanxi Province Natural Science Basic Research Program(2025JC-YBMS-443,2025JC-YBQN-597)Fundamental Research Funds for The Central Universities,CHD(300102215109).
摘要Overloaded traffic loads can increase the risk of bridge damage and reduce the service life of bridges.To further refine the research on the fragility analysis of different small and medium span bridges to traffic loads by considering the regional characteristics of traffic loads.This article systematically conducts a traffic load fragility analysis of bridges,taking into account the structural characteristics of small-and mediumspan bridges and vehicle load characteristics within the region.First,statistical analysis is conducted on the collected measured traffic load data within a certain area,and the Metropolis-Hasting sampling algorithm and Copula function are used to consider the correlation of traffic load parameters to simulate random traffic flow.Then,the calculation method for the resistance level corresponding to the three states of bridge cracking,yielding,and failure is given.Finally,eight types bridges with a high proportion within a certain route is selected,and their fragility to traffic loads has been analyzed.The analysis indicates that the failure probability corresponding to cracking conditions exceeds the serviceability limit state target for all hollow slab bridges,even when the vehicle load limit is set at 15 t.Similarly,T-beam bridges are also relatively easy to enter a state of working with cracks.Furthermore,hollow slab bridges exhibit a higher failure probability than T-beam bridges under identical traffic loading conditions.This indicates that T-beam bridges are more suitable for the current traffic load conditions.In hollow slab bridges,the failure probability of 13m span and 16m is relatively high.In T-beam bridges,the probability of failure is relatively high for 30m span.These bridges should receive more attention in operation and maintenance work.The proposed fragility analysis method for traffic loads can facilitate bridge operation and maintenance,while also guiding the formulation of vehicle load limit policies.
基金supported,in part,by the National Science Foundation(No.NSF-1638320)the US Department of Transportation National Center for Transportation Infrastructure Durability and Life Extensionsupport from the National Natural Science Foundation of China(Grant No.52378183).
摘要The seismic fragility of reinforced concrete highway bridges has been found profoundly affected by corrosion-induced degradation.Traditional fragility analysis methods such as the Cloud and Incremental Dynamic Analysis,while effective,they are computationally intensive and impractical for large-scale regional risk and resilience assessments.Additionally,they heavily rely on a predefined probabilistic assumption(i.e.,the lognormal distribution in seismic demand and capacity),whose validity remains unknown for corroded structures.To bridge this gap and circumvent this assumption,this study leverages machine learning(ML)to develop a damage-state-classification-driven seismic fragility modeling approach for corroded reinforced concrete bridge portfolios.A comprehensive database is developed through nonlinear time-history analyses,incorporating the effects of bridge structural variability,corrosion levels,and diverse seismic scenarios.Three popular ML classifiers,including artificial neural network(ANN),support vector machine,and K-nearest neighbor,are trained and rigorously optimized to map probabilities of damage states directly from structural features and seismic inputs.Analysis results showcase the efficiency and scalability of the ML-empowered method,which significantly reduces computational effort while maintaining well alignment with results from the Cloud method,particularly for the ANN-based one.
摘要Fragility fractures represent a significant global health burden,with osteoporosis affecting over 500 million individuals and contributing to nearly 9 million fractures annually.Conventional diagnosis relies on dual-energy X-ray absorptiometry(DEXA)to measure bone mineral density(BMD),yet BMD alone explains only part of fracture risk.Many fractures occur in patients without osteoporosis by DEXA criteria,underscoring the limitations of bone quantitybased assessment.Advances in imaging and biomarker research highlight the importance of bone quality,microarchitecture,and marrow composition in fracture prediction.Quantitative magnetic resonance imaging(MRI)techniques-including T1ρ,T2 mapping,proton density fat fraction,and diffusion-weighted imaging-offer non-invasive insights into collagen integrity,proteoglycan content,water distribution,and marrow adiposity.These parameters correlate with trabecular deterioration and cortical porosity,enhancing risk stratification beyond BMD.Similarly,Vertebral Bone Quality(VBQ)scoring,derived from routine T1-weighted MRI,provides a practical surrogate for bone quality by quantifying vertebral marrow signal intensity relative to cerebrospinal fluid.Modified VBQ improves accuracy by minimising posterior vertebral artefacts,demonstrating stronger correlation with DEXA T scores and trabecular microarchitecture.Studies show VBQ predicts vertebral fragility fractures independently of BMD,with sensitivity exceeding 90%and discriminatory ability comparable to the fracture risk assessment tool and trabecular bone score.Integration of quantitative MRI and VBQ/modified VBQ into predictive models,supported by artificial intelligence,enables opportunistic,radiation-free screening and more precise fracture risk assessment.Together,these advanced imaging biomarkers represent a paradigm shift toward comprehensive evaluation of bone strength,bridging the gap between bone quantity and quality for improved prevention and management of fragility fractures.
基金National Key R&D Program of China under Grant Nos.2018YFC1504504 and 2018YFC0809404。
摘要Damage to electrical equipment in an earthquake can lead to power outage of power systems.Seismic fragility analysis is a common method to assess the seismic reliability of electrical equipment.To further guarantee the efficiency of analysis,multi-source uncertainties including the structure itself and seismic excitation need to be considered.A method for seismic fragility analysis that reflects structural and seismic parameter uncertainty was developed in this study.The proposed method used a random sampling method based on Latin hypercube sampling(LHS)to account for the structure parameter uncertainty and the group structure characteristics of electrical equipment.Then,logistic Lasso regression(LLR)was used to find the seismic fragility surface based on double ground motion intensity measures(IM).The seismic fragility based on the finite element model of an±1000 kV main transformer(UHVMT)was analyzed using the proposed method.The results show that the seismic fragility function obtained by this method can be used to construct the relationship between the uncertainty parameters and the failure probability.The seismic fragility surface did not only provide the probabilities of seismic damage states under different IMs,but also had better stability than the fragility curve.Furthermore,the sensitivity analysis of the structural parameters revealed that the elastic module of the bushing and the height of the high-voltage bushing may have a greater influence.
基金Supported by Clinical Medical Research Fund of the Zhejiang Medical Association,No.2025ZYC-Z32Henan Provincial Key Research and Development Program,No.231111311000+1 种基金Henan Provincial Science and Technology Research Project,No.232102310411Clinical Medical Research Fund of the Zhejiang Medical Association,2024ZYC-Z30.
摘要Type 2 diabetes markedly elevates fracture risk despite normal or high bone mineral density,a paradox reflecting qualitative skeletal deficits rather than loss of mass.Chronic hyperglycemia fosters the accumulation of advanced glycation end products in bone;their nonenzymatic crosslinks stiffen type I collagen,impair mineralization,and erode mechanical strength.By engaging the receptor for advanced glycation end products,these adducts activate nuclear factorκB and mitogen-activated protein kinase cascades,amplifying oxidative stress,inflammation,osteoblast dysfunction,and osteoclastogenesis.This review synthesizes epidemiological data from type 1 and type 2 diabetes,highlights the limits of densitybased skeletal assessment,and details the molecular pathology of the glycation-collagen axis.It also appraises antiglycation therapies,including formation inhibitors,crosslink breakers and receptor antagonists,with a particular focus on sodium-glucose cotransporter 2 inhibitors that couple glycemic control with modulation of the glycation pathway.By integrating recent basic and clinical advances,we propose a mechanistic framework for diabetic bone disease and outline strategies to mitigate glycationdriven skeletal fragility.
基金Supported by Shanghai Tongren Hospital,Shanghai Jiaotong University School of Medicine,No.TRYJ2024 LC16the National Natural Science Foundation of China,No.82102577the Laboratory Open Fund of Key Technology and Materials in Minimally Invasive Spine Surgery,No.2024JZWC-YBA05.
摘要BACKGROUND Retrograde pubic ramus screw placement is an effective technique but requires substantial surgical expertise and specialized equipment.The management of osteoporotic anterior pelvic ring injuries remains challenging due to technical difficulties and a high risk of complications.AIM To introduce a novel and simplified surgical approach that utilizes a custom-designed handheld pelvic alignment guide(HPAG)in combination with a 6.0 mm hollow screw,aiming to enhance the accuracy,efficiency,and safety of retrograde pubic ramus screw fixation in osteoporotic pelvic fragility fractures.METHODS The HPAG and 6.0 mm hollow screw were employed during surgical treatment.A 2.0-3.0 cm incision was made to expose the optimal screw entry point.Intraop-erative pelvic inlet and obturator oblique views were used to monitor fracture reduction and guide screw insertion.Clinical outcomes and fracture reduction quality were evaluated using Matta,visual analog scale,and Majeed scores during follow-ups.A representative case is presented to demonstrate the surgical procedure in detail.RESULTS No perioperative complications were observed.The mean operative time was 35.2±6.97 minutes,with a screw insertion time of 7.25±1.86 minutes,an average incision length of 2.8±0.67 cm,and mean blood loss of 43.25±15.64 mL.At one-year follow-up,seven patients achieved excellent Majeed scores and three achieved good scores.CONCLUSION No perioperative complications were observed.The mean operative time was 35.2±6.97 minutes,with a screw insertion time of 7.25±1.86 minutes,an average incision length of 2.8±0.67 cm,and mean blood loss of 43.25±15.64 mL.At one-year follow-up,seven patients achieved excellent Majeed scores and three achieved good scores.
基金The National Natural Science Foundation of China(No.52208195)the Independent Subject of State Key Laboratory of Disaster Reduction in Civil Engineering of Tongji University(No.SLDRCE19-A-10).
摘要To improve the seismic performance of unrein-forced masonry(URM)buildings in the Himalayan re-gions,including Western China,India,Nepal,and Paki-stan,a low-cost bonded scrap tire rubber isolator(BSTRI)is proposed,and a series of vertical compression and horizontal shear tests are conducted.Incremental dynamic analyses are conducted for five types of BSTRI-supported URM buildings subjected to 22 far-field and 28 near-field earthquake ground motions.The resulting fragility curves and probability of damage curves are presented and utilized to evaluate the damage states of these buildings.The results show that in the base-isolated(BI)URM buildings under seismic ground motion at a peak ground acceleration(PGA)of 1.102g,the probability of exceeding the collapse prevention threshold is less than 25%under far-field earthquake ground motions and 31%under near-field earthquake ground motions.Furthermore,the maximum average vulnerability index for the BI-URM buildings,which are designed to withstand rare earthquakes with 9°(PGA=0.632g),is 40.87%for far-field earthquake ground motions and 41.83%for near-field earthquake ground motions.Therefore,the adoption of BSTRIs can significantly reduce the collapse probability of URM buildings.
基金National Natural Science Foundation of China under Grant Nos.52208191 and 51908397Shanxi Province Science Foundation for Youths under Grant No.201901D211025China Postdoctoral Science Foundation under Grant No.2020M670695。
摘要Seismic fragility analysis(SFA)is known as an effective probabilistic-based approach used to evaluate seismic fragility.There are various sources of uncertainties associated with this approach.A nuclear power plant(NPP)system is an extremely important infrastructure and contains many structural uncertainties due to construction issues or structural deterioration during service.Simulation of structural uncertainties effects is a costly and time-consuming endeavor.A novel approach to SFA for the NPP considering structural uncertainties based on the damage state is proposed and examined.The results suggest that considering the structural uncertainties is essential in assessing the fragility of the NPP structure,and the impact of structural uncertainties tends to increase with the state of damage.Subsequently,machine learning(ML)is found to be superior in high-precision damage state identification of the NPP for reducing the time of nonlinear time-history analysis(NLTHA)and could be applied in the damage state-based SFA.Also,the impact of various sources of uncertainties is investigated through sensitivity analysis.The Sobol and Shapley additive explanations(SHAP)method can be complementary to each other and able to solve the problem of quantifying seismic and structural uncertainties simultaneously and the interaction effect of each parameter.
基金financial support from the Ministry of Education,Culture,Sports,Science and Technology (MEXT),Japan
摘要The effect of seismic directionality is crucial for curved bridges,a subject generally overlooked in seismic vulnerability analysis.This paper focuses on seismic fragility development as a function of seismic incidence directions for a geometrically curved bridge.A series of non-linear time history analyses were carried out for a representative finite element model of the bridge by considering actual ground motions.For reliable seismic demand models,a total of eleven intensity measures(IM)were analyzed based on optimality metrics.To quantify the sensitivity of fragility functions to input incidence directions,fragility surfaces were developed throughout the horizontal plane by considering spectral acceleration at one second(Sa1.0)as the optimal IM.Results show that the optimal IM ranking is insignificantly influenced by seismic directionality.However,seismic orientation influences fragility,which intensifies in higher damage states,particularly for piers.For a bridge system,the differences in median demand corresponding to the least and most vulnerable direction for slight,moderate,extensive,and collapse states are about 9.0%,7.31%,10.32%,and 11.60%,respectively.These results imply that while evaluating the vulnerability of curved bridges,the optimality of IM in demand estimation and the impact of seismic directionality should not be disregarded.
基金part of the Agency for Defense Development(ADD)research project on Weapon lethality/effectiveness analysis technology for material targets and grant funded by the korean goverment(511225-912A03301)。
摘要This study presents a fragility curve to assess explosively induced damage to military vehicle tires based on shock tube experiments.To replicate lateral damage scenarios that may occur in real battlefield environments involving missile or bomb detonations,extreme overpressure conditions were generated using a shock tube.The influence of explosive charge mass on tire damage was quantitatively evaluated.Experimental results identified two critical failure thresholds:for loss of pressure,the threshold was 354 kPa peak overpressure and 3052 kPa·ms impulse;for rupture,the values were 485 kPa and 4237 kPa-ms,respectively.The same damage profile was reproduced through finite element analysis(FEA),verifying the reliability of the simulation.A Single Degree of Freedom(SDOF)model and Kingery-Bulmash(K-B)chart were employed to generate pressure-impulse data as a function of standoff distance.These data were applied to a finite element tire model using the BLAST ENHANCED keyword in LS-DYNA.The applied peak overpressures were identical to the experimental values with a 24%-27%difference in impulse.The simulation also captured recurring bead rim separation phenomenon,leading to internal pressure loss consistent with high-speed camera observations from the experiments.The resulting fragility curve clearly defines the threshold conditions for tire damage and provides a standardized damage assessment model applicable to various explosive charge masses and stand-off distances.The proposed model offers a quantitative basis for evaluating tire vulnerability,providing foundational reference data for defense applications.Specifically,the findings are expected to serve as a reliable source for weapon effects analysis and target vulnerability assessments involving wheeled military vehicles.
基金This paper was supported by the National Natural Science Foundation of China(No.72042014).
摘要Background:Global spread and impact of the coronavirus disease 2019(COVID-19)pandemic are determined to a large extent,by resistance to the pandemic and public response of all countries in the world;while a country's resistance and response are in turn determined by its political and socio economic conditions.To inform future disease prevention and control,we analyzed global data to exam the relationship between state vulnerabilities and COVID-19 incidences and deaths.Methods:Vulnerability was measured using the Fragile States Index(FSI).FSI is created by the Fund for Peace to assess levels of fragility for individual countries.Total FSI score and scores for 12 specific indicators were used as the predictor variables.Outcome variables were national cumulative COVID-19 cases and deaths up to September 16,2020,derived from the World Health Organization.Cumulative incidence rates were computed using 2019 National population derived from the World Bank,and case fatality rates were computed as the ratio of deaths/COVID-19 cases.Countries with incomplete data were excluded,yielding a final sample of 146 countries.Multivariate regression was used to examine the association between the predictor and the outcome measures.Results:There were dramatic cross-country variations in both FSI and COVID-19 epidemiological measurements.FSI total scores were negatively associated with both COVID-19 cumulative incidence rates(β=-0.0135,P<0.001)and case fatality rates(β=-0.0147,P<0.05).Of the 12 FSI indicators,three negatively associated with COVID-19 incidences were E1(Economic Decline and Poverty),E3(Human Flight and Brain Drain),and S2(Refugees and Internally Displaced Persons);two positively associated were P1(State Legitimacy)and X1(External Intervention).With regard to association with case fatality rates,C1(Security Apparatus)was positive,and P3(Human Rights and Rule of Law)and X1 was negative.Conclusion:With FSI measures by the Fund of Peace,overall,more fragile countries are less likely to be affected by the COVID-19 pandemic,and even if affected,death rates were lower.However,poor in state legitimacy and lack of external intervention are risk for COVID-19 infection and lack of security apparatus is risky for COVID-19 death.Implications of the study findings are discussed and additional studies are needed to examine the mechanisms underpinning these relationships.
基金Natural Science Foundation of China under Grant No.51808376
摘要This paper presents a copula technique to develop time-variant seismic fragility curves for corroded bridges at the system level and considers the realistic time-varying dependence among component seismic demands. Based on material deterioration mechanisms and incremental dynamic analysis, the time-evolving seismic demands of components were obtained in the form of marginal probability distributions. The time-varying dependences among bridge components were then captured with the best fitting copula function, which was selected from the commonly used copula classes by the empirical distribution based analysis method. The system time-variant fragility curves at different damage states were developed and the effects of time-varying dependences among components on the bridge system fragility were investigated. The results indicate the time-varying dependence among components significantly affects the time-variant fragility of the bridge system. The copula technique captures the nonlinear dependence among component seismic demands accurately and easily by separating the marginal distributions and the dependence among them.
基金National Natural Science Foundation of China Under Award Number 50878184National High Technology Research and Development Program (863 Program) of China Under Grant No. 2006AA04Z437Graduate Starting Seed Fund of Northwestern Polytechnical University Under the Grant No. Z2012059
摘要Fragility analysis for highway bridges has become increasingly important in the risk assessment of highway transportation networks exposed to seismic hazards. This study introduces a methodology to calculate fragility that considers multi-dimensional performance limit state parameters and makes a first attempt to develop fragility curves for a multi-span continuous (MSC) concrete girder bridge considering two performance limit state parameters: column ductility and transverse deformation in the abutments. The main purpose of this paper is to show that the performance limit states, which are compared with the seismic response parameters in the calculation of fragility, should be properly modeled as randomly interdependent variables instead of deterministic quantities. The sensitivity of fragility curves is also investigated when the dependency between the limit states is different. The results indicate that the proposed method can be used to describe the vulnerable behavior of bridges which are sensitive to multiple response parameters and that the fragility information generated by this method will be more reliable and likely to be implemented into transportation network loss estimation.
基金National Natural Science Foundation of China Under Grant No.51108105,90815029,50938006 Research Fund for the Doctoral Program of Higher Education of China Under Grant No.20094410120002+3 种基金 Major Program of National Natural Science Foundation of China Under Grant No.90815027Key Projects in the National Science&Technology Pillar Program during the Eleventh Five-Year Plan Period Under Grant No.2009BAJ28B03Fund for High School in Guangzhou (10A057)the Open Foundation of State Key Laboratory of Subtropical Building Science(2011KB15)
摘要Following several damaging earthquakes in China, research has been devoted to find the causes of the collapse of reinforced concrete (RC) building sand studying the vulnerability of existing buildings. The Chinese Code for Seismic Design of Buildings (CCSDB) has evolved over time, however, there is still reported earthquake induced damage of newly designed RC buildings. Thus, to investigate modern Chinese seismic design code, three low-, mid- and high-rise RC frames were designed according to the 2010 CCSDB and the corresponding vulnerability curves were derived by computing a probabilistic seismic demand model (PSDM).The PSDM was computed by carrying out nonlinear time history analysis using thirty ground motions obtained from the Pacific Earthquake Engineering Research Center. Finally, the PSDM was used to generate fragility curves for immediate occupancy, significant damage, and collapse prevention damage levels. Results of the vulnerability assessment indicate that the seismic demands on the three different frames designed according to the 2010 CCSDB meet the seismic requirements and are almost in the same safety level.
基金Scientific Research Fund of Institute of Engineering Mechanics,CEA under Grant Nos.2016A05 and 2016A06the International Science and Technology Cooperation Program of China under Grant No.2014DFA70950the National Natural Science Foundation of China under Grant No.51378478
摘要Flexible pipelines are often used to connect hard pipes from a foundation to a superstructure to accommodate large deformation in the base isolation layer during an earthquake.Although Chinese seismic design guidelines suggest several confi gurations,they are diff erent from the designs that have been proven in practice,e.g.,Japanese styles,and extensive experimental investigation into their seismic performance is required.Three types of seals,rubber-,metal-and asbestinebased,were tested quasi-statically with infi lled pressurized water at 2.5 MPa.The asbestine-based seal leaked at a smaller deformation than the other two types of seals.Based on the test results,three damage states were defi ned and the deformation capacity was estimated.To evaluate their performance,a three-dimensional model of a base-isolated medical building was developed using OpenSees,with the fl exible pipelines simulated by a mechanical model calibrated from the experimental data.A probabilistic seismic demand model and the fragility function of the fl exible pipelines were then developed to evaluate the seismic performance.
摘要The Himalayan region is one of the major seismic areas in the world.However,similar to many other seismically active locations,there are substantial numbers of unreinforced masonry(URM)buildings;the majority of which have not been designed for seismic loads.Past seismic events have shown that such buildings are highly vulnerable to earthquakes.Retrofitting of these URM buildings is an important concern in earthquake mitigation programs.Most government school buildings in rural areas of northern India are constructed of unreinforced masonry.These school buildings are socially important structures and serve as a crucial resource for rehabilitation during any disaster.The effectiveness of ferrocement(FC)to create a URM-FC composite is described in this study by estimating the performance and fragility of a URM school building before and after a retrofit.Analytical models,based on the equivalent frame method,are developed and used for nonlinear static analysis to estimate the enhancement in capacity.The capacity enhancement due to retrofitting is presented in terms of the maximum PGA sustained and damage probabilities at the expected level of earthquake hazard.
基金This work was supported by the National Natural Science Foundation of China(Grant Nos.51608488,11872339,11472248).
摘要An offshore long-span continuous rigid-frame bridge is taken as an example to study the effect of degradation of bond-slip behavior on the seismic performance of bridges in an offshore environment during a service period.On the basis of a numerical simulation analysis using the OpenSeeS platform,the influence of durability degradation of concrete carbonization,steel corrosion,and degradation of bond-slip performance is considered collectively using incremental dynamic analysis method to examine the time-varying seismic fragility of the offshore bridge.Results show that when bond slip is considered,the exceedance probability of the bridge components and the system increases significantly,and the durability degradation caused by concrete carbonization and chloride ion erosion in the whole life cycle increases the seismic response of the bridge structure.The results of the proposed time-varying seismic fragility analysis indicate that,considering the degradation of bond-slip behavior of reinforced concrete after the durability degradation of materials,the exceedance probability of the pier,bearing,abutment,and system increases with the extension of service period and the increase in seismic strength under earthquake action.In addition,with the extension of service time,the effect of bond slip on the seismic fragility of components and system gradually decreases.
基金Financial support received from the Scientific Research Fund of Institute of Engineering Mechanics,China Earthquake Administration under Grant No.2019EEEVL05the National Key Research and Development Program of China under Grant No.2016YFC0701106the National Natural Science Foundation of China under Grant No.51578473 are gratefully acknowledged.
摘要Steel frames equipped with buckling restrained braces(BRBs)have been increasingly applied in earthquake-prone areas given their excellent capacity for resisting lateral forces.Therefore,special attention has been paid to the seismic risk assessment(SRA)of such structures,e.g.,seismic fragility analysis.Conventional approaches,e.g.,nonlinear finite element simulation(NFES),are computationally inefficient for SRA analysis particularly for large-scale steel BRB frame structures.In this study,amachine learning(ML)-based seismic fragility analysis framework is established to effectively assess the risk to structures under seismic loading conditions.An optimal artificial neural network model can be trained using calculated damage and intensity measures,a technique which will be used to compute the fragility curves of a steel BRB frame instead of employing NFES.Numerical results show that a highly efficient instantaneous failure probability assessment can be made with the proposed framework for realistic large-scale building structures.