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Multi-objective optimization and biomechanical injury analysis of rear-seat occupant restraint systems in small overlap collision 认领 引用
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作者 Jia Yu Jingyu Xu +5 位作者 Tao Xiong Meng Xu Hao Deng Zhiyong Yin Xiuju Yang Shengxiong Liu 《Theoretical & Applied Mechanics Letters》 EI CAS CSCD 2026年第1期118-126,共9页
In small overlap collision,rear-seat occupants face elevated injury risks.This study conducts multi-objective opti-mization of the rear-seat occupant restraint system to reduce these injury risks and enhance overall v... In small overlap collision,rear-seat occupants face elevated injury risks.This study conducts multi-objective opti-mization of the rear-seat occupant restraint system to reduce these injury risks and enhance overall vehicle safety performance.Based on real-world traffic accident data,a full-vehicle crash simulation model was established and validated with the actual injury data.Weighted injury criteria(WIC)and neck injury metrics(Nij)were selected as optimization objectives.The rear-seat restraint system was optimized using NSGA-Ⅱ and TOPSIS algorithms to determine the optimal parameter configurations.The optimized parameters were subsequently reintegrated into the simulation model for validation.The results demonstrate a significant reduction in occupant injuries,with WIC and Nij reduced by 30.3%and 20.7%,respectively. 展开更多
关键词 Small overlap collision Rear-seat occupant injury Biomechanics analysis Multi-objective algorithm
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Transient Thermodynamic,Sensitivity and Multi-Objective Design Analysis of a Multilayer PCM-Assisted Evacuated Tube Solar Collector 认领 引用
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作者 Dheyaa Abdulraheem Khalaf Ammar Sami Mohammad 《Energy Engineering》 EI 2026年第7期323-340,共18页
Transient thermodynamic analysis of a multilayer phase-change material(PCM)-assisted evacuated tube solar collector(PCM-ETSC)is presented.A compact enthalpy-based numerical model is formulated to capture coupled heat ... Transient thermodynamic analysis of a multilayer phase-change material(PCM)-assisted evacuated tube solar collector(PCM-ETSC)is presented.A compact enthalpy-based numerical model is formulated to capture coupled heat transfer among the absorber tube,a mixed-mean heat-transfer fluid(HTF)control volume,and multiple PCM layers with staggered melting temperatures under time-dependent irradiance.Performance is evaluated using solarreferenced thermal and exergy efficiencies and reported over a sunlit window defined by G(t)>0.1 Gmax.For the baseline run,the simulated temperature ranges are Tf[298.000,306.489]and Tt[298.000,310.432]K with PCM,compared with Tf[298.000,306.774]and Tt[298.000,310.848]K without PCM,corresponding to reductions in peak HTF and absorber temperatures of 0.284 and 0.416 K,respectively.The sunlit-window means are nsolar=0.8788(87.88%)andΨsolar=0.0098(0.98%),while the maximum instantaneous solar exergy efficiency reaches 0.0l33.A time-step refinement from△t=0.2 to 0.1s leaves Isolar unchanged to six decimal places(0.8788l7 vs.0.8788l6)and reduces the RMS global energy-balance residual from 0.086164 to 0.048758 J per step,supporting numerical consistency.Multilayer phase change is evidenced by layer-resolved liquid-fraction histories;using fi≥O.99 as a completion metric,none of the three PCM layers reach completion within the 6 h horizon for the reported baseline(peak temperatures remain below the threshold implied by Tm,k and the mushy band).One-at-a-time sensitivity studies quantify the influence of HTF mass flow rate,uniform PCM thickness,and a common melting-temperature shift.Multi-objective optimization using NSGA-II(MATLAB gamultiobj)maps the trade-off betweenηsolar∈[0.780,0.908]andΨsolar∈[0.007,0.018],with representative thermal-oriented,exergy-oriented,and compromise designs reported explicitly.The results show that first-law and second-law metrics diverge under transient charging and that multilayer PCM integration can buffer peak temperatures while enabling design trade-offs between delivered heat quantity and quality. 展开更多
关键词 Phase change material evacuated tube solar collector transient analysis exergy analysis sensitivity analysis multi-objective optimization NSGA-II
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Numerical Analysis and Multi-Objective Optimization of Tesla Valve Cold Plates for Lithium-Ion Battery Thermal Management 认领 引用
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作者 Anjie Hu Rui Zhao +2 位作者 Liu Tang Jun Wang Dong Liu 《Fluid Dynamics & Materials Processing》 EI 2026年第5期72-96,共25页
Lithium-ion batteries are widely deployed in electric vehicles,yet their performance and safety are strongly constrained by elevated operating temperatures,which may accelerate degradation and,in extreme cases,trigger... Lithium-ion batteries are widely deployed in electric vehicles,yet their performance and safety are strongly constrained by elevated operating temperatures,which may accelerate degradation and,in extreme cases,trigger thermal runaway.This study numerically investigates the thermal performance of a Tesla valve-based cold plate for battery thermal management,with the aim of enhancing heat dissipation efficiency through multi-parameter collaborative optimization.An initial screening is conducted using orthogonal experimental design to evaluate the effects of shunt angle(30°–50°),number of unit pairs(3–7),channel asymmetry ratio(0–0.5),and branch channel width(2–4 mm)on maximum temperature difference and pressure drop.The results indicate that the number of unit pairs and the asymmetry ratio are the dominant factors governing thermal and hydraulic performance.To further quantify these relationships,an optimal Latin hypercube sampling strategy is combined with Kriging surrogate modeling to construct response surfaces linking design variables to system performance.Subsequently,a multi-objective optimization based on the Non-dominated Sorting Genetic Algorithm II(NSGA-II)genetic algorithm is performed to simultaneously minimize temperature non-uniformity and pressure drop,yielding a Pareto-optimal solution set.The optimal configuration corresponds to a shunt angle of 30°,7 unit pairs,a zero asymmetry ratio,and a branch channel width of 4 mm.Compared with the baseline design,this configuration reduces the maximum temperature difference by 9.13%and the average temperature difference by 15.03%,while also decreasing pressure drop by 0.36%. 展开更多
关键词 Lithium-ion batteries thermal management tesla valve multi-objective optimization kriging model
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Dynamic model uncertainty analysis and control system multi-objective optimization of space nuclear reactor 认领 引用
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作者 Run Luo Jun-Liang Wu +5 位作者 Xiao-Lie Wang Qi Wang Yu Zhou Hong-Tao Wan Jia-Hui Zhou Yan-Rong Wang 《Nuclear Science and Techniques》 SCIE EI CAS CSCD 2025年第7期135-156,共22页
Compared to other energy sources,nuclear reactors offer several advantages as a spacecraft power source,including compact size,high power density,and long operating life.These qualities make nuclear power an ideal ene... Compared to other energy sources,nuclear reactors offer several advantages as a spacecraft power source,including compact size,high power density,and long operating life.These qualities make nuclear power an ideal energy source for future deep space exploration.A whole system model of the space nuclear reactor consisting of the reactor neutron kinetics,reactivity control,reactor heat transfer,heat exchanger,and thermoelectric converter was developed.In addition,an electrical power control system was designed based on the developed dynamic model.The GRS method was used to quantitatively calculate the uncertainty of coupling parameters of the neutronics,thermal-hydraulics,and control system for the space reactor.The Spearman correlation coefficient was applied in the sensitivity analysis of system input parameters to output parameters.The calculation results showed that the uncertainty of the output parameters caused by coupling parameters had the most considerable variation,with a relative standard deviation<2.01%.Effective delayed neutron fraction was most sensitive to electrical power.To obtain optimal control performance,the non-dominated sorting genetic algorithm method was employed to optimize the controller parameters based on the uncertainty quantification calculation.Two typical transient simulations were conducted to test the adaptive ability of the optimized controller in the uncertainty dynamic system,including 100%full power(FP)to 90%FP step load reduction transient and 5%FP/min linear variable load transient.The results showed that,considering the influence of system uncertainty,the optimized controller could improve the response speed and load following accuracy of electrical power control,in which the effectiveness and superiority have been verified. 展开更多
关键词 Space nuclear reactor Uncertainty quantification Control system optimization Sensitivity analysis
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Back analysis of rock mass parameters in mechanized twin tunnels based on coupled auto machine learning and multi-objective optimization algorithm 认领 引用 被引量：1
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作者 Chengwen Wang Xiaoli Liu +4 位作者 Jiubao Li Enzhi Wang Nan Hu Wenli Yao Zhihui He 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2025年第11期7038-7055,共18页
Accurate determination of rock mass parameters is essential for ensuring the accuracy of numericalsimulations. Displacement back-analysis is the most widely used method;however, the reliability of thecurrent approache... Accurate determination of rock mass parameters is essential for ensuring the accuracy of numericalsimulations. Displacement back-analysis is the most widely used method;however, the reliability of thecurrent approaches remains unsatisfactory. Therefore, in this paper, a multistage rock mass parameterback-analysis method, that considers the construction process and displacement losses is proposed andimplemented through the coupling of numerical simulation, auto-machine learning (AutoML), andmulti-objective optimization algorithms (MOOAs). First, a parametric modeling platform for mechanizedtwin tunnels is developed, generating a dataset through extensive numerical simulations. Next, theAutoML method is utilized to establish a surrogate model linking rock parameters and displacements.The tunnel construction process is divided into multiple stages, transforming the rock mass parameterback-analysis into a multi-objective optimization problem, for which multi-objective optimization algorithmsare introduced to obtain the rock mass parameters. The newly proposed rock mass parameterback-analysis method is validated in a mechanized twin tunnel project, and its accuracy and effectivenessare demonstrated. Compared with traditional single-stage back-analysis methods, the proposedmodel decreases the average absolute percentage error from 12.73% to 4.34%, significantly improving theaccuracy of the back-analysis. Moreover, although the accuracy of back analysis significantly increaseswith the number of construction stages considered, the back analysis time is acceptable. This studyprovides a new method for displacement back analysis that is efficient and accurate, thereby paving theway for precise parameter determination in numerical simulations. 展开更多
关键词 Back analysis of rock parameters Auto machine learning Multi-objective optimization algorithm Mechanized twin tunnels Parametric modeling
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Performance Analysis and Multi-Objective Optimization of Functional Gradient Honeycomb Non-pneumatic Tires 认领 引用
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作者 Haichao Zhou Haifeng Zhou +2 位作者 Haoze Ren Zhou Zheng Guolin Wang 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2025年第3期412-431,共20页
The spoke as a key component has a significant impact on the performance of the non-pneumatic tire(NPT).The current research has focused on adjusting spoke structures to improve the single performance of NPT.Few studi... The spoke as a key component has a significant impact on the performance of the non-pneumatic tire(NPT).The current research has focused on adjusting spoke structures to improve the single performance of NPT.Few studies have been conducted to synergistically improve multi-performance by optimizing the spoke structure.Inspired by the concept of functionally gradient structures,this paper introduces a functionally gradient honeycomb NPT and its optimization method.Firstly,this paper completes the parameterization of the honeycomb spoke structure and establishes the numerical models of honeycomb NPTs with seven different gradients.Subsequently,the accuracy of the numerical models is verified using experimental methods.Then,the static and dynamic characteristics of these gradient honeycomb NPTs are thoroughly examined by using the finite element method.The findings highlight that the gradient structure of NPT-3 has superior performance.Building upon this,the study investigates the effects of key parameters,such as honeycomb spoke thickness and length,on load-carrying capacity,honeycomb spoke stress and mass.Finally,a multi-objective optimization method is proposed that uses a response surface model(RSM)and the Nondominated Sorting Genetic Algorithm-II(NSGA-II)to further optimize the functional gradient honeycomb NPTs.The optimized NPT-OP shows a 23.48%reduction in radial stiffness,8.95%reduction in maximum spoke stress and 16.86%reduction in spoke mass compared to the initial NPT-1.The damping characteristics of the NPT-OP have also been improved.The results offer a theoretical foundation and technical methodology for the structural design and optimization of gradient honeycomb NPTs. 展开更多
关键词 Non-pneumatic tires Honeycomb structure Gradient structure Multi-objective optimization
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Dynamic decision-making of UAV swarm based on constrained multi-objective optimization under incomplete interference information 认领 引用 被引量：1
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作者 Kuixian LI Jinjie LIU +5 位作者 Xin GU Yandie YANG Cheng CHANG Haipeng CHEN Liangtian WAN Yun LIN 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第7期64-77,共14页
The decision-making and resource allocation of UAV swarms play a crucial role in dynamic,uncertain environments.In such complex scenarios,UAV swarms need to effectively collaborate and communicate in frequently changi... The decision-making and resource allocation of UAV swarms play a crucial role in dynamic,uncertain environments.In such complex scenarios,UAV swarms need to effectively collaborate and communicate in frequently changing interference conditions.However,existing resource allocation methods typically assume complete interference information or are suitable only for static environments,leading to significant performance degradation in the face of external uncertainties and incomplete information.To address these challenges,this paper employs fuzzy set theory to dynamically model the uncertainty of external interference and defuzzify its impact on the available frequency bands during iterative diagnostics.Additionally,a dynamic constrained multi-objective optimization model is developed,and a novel Dynamic Constrained MultiObjective Evolutionary Algorithm based on Transfer Search(TrS-DCMOEA)is proposed.By integrating transfer learning and dynamic adjustment strategies,the algorithm quickly adapts to environmental changes,ensuring communication performance while maintaining the security of UAV swarm communications.Simulation results show that the proposed algorithm achieves superior decision-making and resource allocation efficiency in most time slots,with TrS-DCMOEA particularly excelling in tracking the Pareto front in dynamic environments. 展开更多
关键词 UAV swarm Resource allocation Dynamic constraints Incomplete information Dynamic decision-making Multi-objective optimization
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Studies and analysis of drug-target interactions by affinity chromatography and related techniques:A review 认领 引用 被引量：1
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作者 David S.Hage Sadia Sharmeen +5 位作者 B.K.Sajeeb Harshana Olupathage Md Masudur Rahman Isaac Kyei Samiul Alim Nigar Sultana Pinky 《Journal of Pharmaceutical Analysis》 SCIE CAS CSCD 2026年第2期330-346,共17页
The characterization of drug-target interactions is a key component of drug discovery,testing,and development.Affinity chromatography is one approach that can be used for this type of analysis.For instance,this may be... The characterization of drug-target interactions is a key component of drug discovery,testing,and development.Affinity chromatography is one approach that can be used for this type of analysis.For instance,this may be done by using an immobilized target as a stationary phase and a drug as the applied solute.This review will discuss the various ways in which affinity chromatographic methods have been used to examine drug-target interactions,with an emphasis on high-performance methods.The general principles of this approach and factors to consider in its use for drug-target interaction analysis will first be examined.Methods based on zonal elution or frontal analysis for binding and competition studies will then be discussed.Various techniques for kinetic studies will next be considered,along with approaches that employ secondary binding agents and hybrid techniques.In each case,the general principles and theory of an approach will be given along with examples of its use in drug-target interaction studies.Advantages or limitations of each approach will be provided as well.This information should make it possible in the future to extend these techniques to other drug-target systems of interest in biomedical research and drug testing or development. 展开更多
关键词 Affinity chromatography High-performance affinity chromatography Drug-target interactions Drug-protein binding Kinetic analysis Biointeraction analysis
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Advanced isoconversional kinetic analysis of lepidolite sulfation product decomposition reactions for selectively extracting lithium 认领 引用 被引量：1
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作者 Yubo Liu Baozhong Ma +4 位作者 Jiahui Cheng Xiang Li Hui Yang Chengyan Wang Yongqiang Chen 《International Journal of Minerals,Metallurgy and Materials》 SCIE EI CAS CSCD 2026年第1期217-227,共11页
The sulfation and decomposition process has proven effective in selectively extracting lithium from lepidolite.It is essential to clarify the thermochemical behavior and kinetic parameters of decomposition reactions.A... The sulfation and decomposition process has proven effective in selectively extracting lithium from lepidolite.It is essential to clarify the thermochemical behavior and kinetic parameters of decomposition reactions.Accordingly,comprehensive kinetic study by employing thermalgravimetric analysis at various heating rates was presented in this paper.Two main weight loss regions were observed during heating.The initial region corresponded to the dehydration of crystal water,whereas the subsequent region with overlapping peaks involved complex decomposition reactions.The overlapping peaks were separated into two individual reaction peaks and the activation energy of each peak was calculated using isoconversional kinetics methods.The activation energy of peak 1 exhibited a continual increase as the reaction conversion progressed,while that of peak 2 steadily decreased.The optimal kinetic models,identified as belonging to the random nucleation and subsequent growth category,provided valuable insights into the mechanism of the decomposition reactions.Furthermore,the adjustment factor was introduced to reconstruct the kinetic mechanism models,and the reconstructed models described the kinetic mechanism model more accurately for the decomposition reactions.This study enhanced the understanding of the thermochemical behavior and kinetic parameters of the lepidolite sulfation product decomposition reactions,further providing theoretical basis for promoting the selective extraction of lithium. 展开更多
关键词 lithium lepidolite decomposition reactions kinetics isoconversional analysis
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Research progress in landslide susceptibility assessment driven by machine learning:A bibliometric analysis 认领 引用 被引量：1
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作者 LI Tao XU Chong 《Journal of Mountain Science》 SCIE CSCD 2026年第5期2056-2073,共18页
Landslide susceptibility assessment serves as a critical component in landslide hazard prevention and mitigation.With advancements in data-driven technologies,machine learning models have gained increasing prominence ... Landslide susceptibility assessment serves as a critical component in landslide hazard prevention and mitigation.With advancements in data-driven technologies,machine learning models have gained increasing prominence in this field.This study retrieved 817 peer-reviewed articles from the Web of Science Core Collection(WOSCC)and employed CiteSpace and VOSviewer for data processing and visualization to systematically investigate research progress in machine learning-driven landslide susceptibility assessment from 2009 to 2024.The results show that the number of publications in this field shows a continuous growth trend,with publications in 2024 accounting for 28%of the total number of publications.Collaborative relationships between authors were significantly strengthened after 2016,especially after 2021,showing a multi-center and high-density cooperation pattern.China dominates global scholarly output in this field with 437 publications,while forming cooperative relationships with many countries around the world.Keyword cooccurrence analysis and temporal analysis reveal a hotspot shift from traditional models to complex methods such as deep learning and ensemble learning and have begun to pay attention to model interpretability.Journals including Engineering Geology,Computers&Geosciences,Science of the Total Environment,Geomorphology,and Landslides exhibit high average co-citation frequencies,underscoring their status as platforms for high-impact research.Deep learning and ensemble learning have received increasing attention in landslide susceptibility assessment.Convolutional neural networks are increasingly seen as a promising direction for future research.Overall,this study provides an overview of the development trends,knowledge structure,and emerging research directions in machine learning-driven landslide susceptibility assessment,offering valuable insights for future research and methodological advancement. 展开更多
关键词 Bibliometric analysis Quantitative analysis Landslide susceptibility Machine learning CiteSpace VOSviewer
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Stability analysis of soft-hard interbedded anti-inclined rock slope under rainfall based on deformation compatibility 认领 引用 被引量：1
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作者 GUO Jianjun WU Zhenwei +2 位作者 CAO Heng ZHANG Wei WANG Junjie 《Journal of Mountain Science》 SCIE CSCD 2026年第1期380-393,共14页
Rock slope instability is a prevalent geological hazard that imposes significant adverse impacts on engineering activities.Although existing studies have focused on homogeneous rock slopes,the theoretical models for q... Rock slope instability is a prevalent geological hazard that imposes significant adverse impacts on engineering activities.Although existing studies have focused on homogeneous rock slopes,the theoretical models for quantifying the stability of softhard interbedded anti-inclined slopes remain underdeveloped,primarily due to the complex force transfer mechanisms involved.This study proposed a novel theoretical model for the stability analysis of soft-hard interbedded anti-inclined slopes under rainfall conditions.The framework models stratified rock layers as layered cantilever beams with material heterogeneity.Based on the principle of deformation compatibility,it comprehensively accounted for interlayer force transfer and strength degradation resulting from differential deformations among rock layers.Furthermore,it integrated the critical instability length induced by the self-weight of rock layers to determine the fracture depth.The proposed method was validated against engineering case studies and physical model tests,with error falling within an acceptable range.Compared to existing theoretical methods,the proposed method provided a more realistic representation of the slope's stress field.The analysis results demonstrate that rainfall not only reduces the inclination angle of the failure surface but also leads to an approximate 30%decrease in the safety factor.The proposed theoretical model is particularly useful for quickly calculating the stability of soft-hard interbedded anti-inclined rock slope under rainfall conditions,compared to complex and time-consuming numerical simulation calculations. 展开更多
关键词 Soft-hard interbedded Anti-inclined slope Rainfall Stability analysis Theoretical method
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Combined Fault Tree Analysis and Bayesian Network for Reliability Assessment of Marine Internal Combustion Engine 认领 引用 被引量：1
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作者 Ivana Jovanović Çağlar Karatuğ +1 位作者 Maja Perčić Nikola Vladimir 《哈尔滨工程大学学报（英文版）》 CSCD 2026年第1期239-258,共20页
This paper investigates the reliability of internal marine combustion engines using an integrated approach that combines Fault Tree Analysis(FTA)and Bayesian Networks(BN).FTA provides a structured,top-down method for ... This paper investigates the reliability of internal marine combustion engines using an integrated approach that combines Fault Tree Analysis(FTA)and Bayesian Networks(BN).FTA provides a structured,top-down method for identifying critical failure modes and their root causes,while BN introduces flexibility in probabilistic reasoning,enabling dynamic updates based on new evidence.This dual methodology overcomes the limitations of static FTA models,offering a comprehensive framework for system reliability analysis.Critical failures,including External Leakage(ELU),Failure to Start(FTS),and Overheating(OHE),were identified as key risks.By incorporating redundancy into high-risk components such as pumps and batteries,the likelihood of these failures was significantly reduced.For instance,redundant pumps reduced the probability of ELU by 31.88%,while additional batteries decreased the occurrence of FTS by 36.45%.The results underscore the practical benefits of combining FTA and BN for enhancing system reliability,particularly in maritime applications where operational safety and efficiency are critical.This research provides valuable insights for maintenance planning and highlights the importance of redundancy in critical systems,especially as the industry transitions toward more autonomous vessels. 展开更多
关键词 Fault tree analysis Bayesian network Reliability Redundancy Internal combustion engine
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Changes in border-associated macrophages after stroke: Single-cell sequencing analysis 认领 引用 被引量：2
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作者 Ning Yu Yang Zhao +3 位作者 Peng Wang Fuqiang Zhang Cuili Wen Shilei Wang 《Neural Regeneration Research》 SCIE CAS CSCD 2026年第1期346-356,共11页
Border-associated macrophages are located at the interface between the brain and the periphery, including the perivascular spaces, choroid plexus, and meninges. Until recently, the functions of border-associated macro... Border-associated macrophages are located at the interface between the brain and the periphery, including the perivascular spaces, choroid plexus, and meninges. Until recently, the functions of border-associated macrophages have been poorly understood and largely overlooked. However, a recent study reported that border-associated macrophages participate in stroke-induced inflammation, although many details and the underlying mechanisms remain unclear. In this study, we performed a comprehensive single-cell analysis of mouse border-associated macrophages using sequencing data obtained from the Gene Expression Omnibus(GEO) database(GSE174574 and GSE225948). Differentially expressed genes were identified, and enrichment analysis was performed to identify the transcription profile of border-associated macrophages. CellChat analysis was conducted to determine the cell communication network of border-associated macrophages. Transcription factors were predicted using the ‘pySCENIC' tool. We found that, in response to hypoxia, borderassociated macrophages underwent dynamic transcriptional changes and participated in the regulation of inflammatory-related pathways. Notably, the tumor necrosis factor pathway was activated by border-associated macrophages following ischemic stroke. The pySCENIC analysis indicated that the activity of signal transducer and activator of transcription 3(Stat3) was obviously upregulated in stroke, suggesting that Stat3 inhibition may be a promising strategy for treating border-associated macrophages-induced neuroinflammation. Finally, we constructed an animal model to investigate the effects of border-associated macrophages depletion following a stroke. Treatment with liposomes containing clodronate significantly reduced infarct volume in the animals and improved neurological scores compared with untreated animals. Taken together, our results demonstrate comprehensive changes in border-associated macrophages following a stroke, providing a theoretical basis for targeting border-associated macrophages-induced neuroinflammation in stroke treatment. 展开更多
关键词 border-associated macrophages clodronate hypoxia ischemia-reperfusion ischemic stroke liposomes neuroinflammation single-cell sequencing analysis STAT3 tumor necrosis factor
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Process analysis of the impacts of ship emissions on PM2.5and O3in the Yangtze River Delta,China 认领 引用 被引量：1
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作者 Xinyi Fu Xiaotong Wang +3 位作者 Dongsheng Chen Jianlei Lang Ying Zhou Xiurui Guo 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2026年第3期372-383,共12页
Ship emissions significantly impact coastal air quality,with the Yangtze River Delta(YRD)region accounting for approximately 50%of China's total shipping emissions.Using the Community Multiscale Air Quality(CMAQ)m... Ship emissions significantly impact coastal air quality,with the Yangtze River Delta(YRD)region accounting for approximately 50%of China's total shipping emissions.Using the Community Multiscale Air Quality(CMAQ)model and process analysis(PA)tool,we quantitatively assessed how atmospheric processes(emissions,chemical reactions,transport,and deposition)contribute to PM2.5and O3,and the chemical pathways of O3formation due to ship emissions.Ship emissions significantly enhanced PM2.5concentrations(>5μg/m3)in the coastal areas of Jiangsu province and offshore regions,with diminishing inland effects.Ship-induced NO3-showed greater inland penetration compared to SO42-,which remained near the coast.In coastal cities,aerosol processes,rather than primary emissions,dominated PM2.5formation,highlighting the importance of secondary formation.O3responses varied spatially,showing coastal titration zones but inland enhancements.Process analysis revealed that vertical transport dominated O3distribution in coastal regions(5-10 ppb),whereas chemical processes showed strong negative contributions(below-10 ppb)along shipping routes.The impact exhibited pronounced diurnal variations,peaking during afternoon hours(14:00-17:00 local standard time(LST),up to 10 ppb/h)with morning titration effects(up to-7.5 ppb/h at 08:00 LST).The vertical profile analysis of shipping-related O3showed surface-level O3titration from ship NOxemissions,with impacts extending to higher layers through vertical mixing.Integrated reaction rate analysis revealed that effective O3control in shipping-influenced regions requires coordinated reduction of both NOxand VOCs.These findings provide insights for developing targeted control strategies,particularly for addressing the complex NOx-O3chemistry and secondary PM2.5formation. 展开更多
关键词 Ship emissions Process analysis PM(2.5) O3 Yangtze River Delta
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Effect of Stratum Distribution on Deep Circular Excavation with Dewatering Above a Multi-Aquifer System by Hydro-Mechanical Coupled Numerical Analysis 认领 引用 被引量：1
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作者 YAN Yueheng LI Mingguang +1 位作者 XU Zhonghua PAN Chunhui 《Journal of Shanghai Jiaotong university(Science)》 EI 2026年第2期475-485,共11页
Dewatering in multilayered aquifers is closely related to stratigraphic configuration.However,previous studies concentrate on the excavation response to dewatering in particular strata,lacking systematic study on the ... Dewatering in multilayered aquifers is closely related to stratigraphic configuration.However,previous studies concentrate on the excavation response to dewatering in particular strata,lacking systematic study on the influence of stratum configuration.This study developed a hydro-mechanical coupled numerical model based on the practical engineering of Shanghai Tower deep excavation.The model and input parameters were validated by field measurements.Besides,a parametric study was conducted to investigate the effect of the thickness,permeability and depth of the aquitard on excavation performances.The analysis indicated that settlements in the excavation were insensitive to the thicknesses and permeability of aquitards,while ground surface settlement increased significantly with the increase of the confined aquifer thickness.Based on the numerical analysis,a fit relationship was established to predict the maximum ground settlements of deep excavation in Shanghai considering the excavation depth,groundwater drawdown and distribution of multilayered aquifers.The applicability of the fit equation was verified by field measurements. 展开更多
关键词 hydro-mechanical coupled analysis deep excavation confined dewatering stratum deformation multilayered aquifers
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Surface water and groundwater suitability assessment for drinking and irrigation in a coal-mining area of southwestern China:EWQI,IWQI,and sensitivity analysis 认领 引用 被引量：1
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作者 Shiming Yang Denghui Wei +7 位作者 Zhan Xie Lanchu Tao Qingsong Chen Md Galal Uddin Yangshuang Wang Xun Huang Ying Wang Yunhui Zhang 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2026年第3期622-637,共16页
In recent years,the issue of water resource pollution has been increasing globally.It poses a potential threat to human health and agricultural production in the coal-mining region of Southwest China.This study evalua... In recent years,the issue of water resource pollution has been increasing globally.It poses a potential threat to human health and agricultural production in the coal-mining region of Southwest China.This study evaluated the suitability of water resources for domestic and agricultural purposes and provided reasonable proposals for drinking and irrigation purposes.A total of 48 water samples were collected in the mining area.The study focused on applying hydrochemical characterization to show the predominant water types,the entropy weight quality index(EWQI),and the irrigation water quality index(IWQI)to ascertain the suitability of drinking and irrigation and sensitivity analysis to identify sensitive factors.Karst and Clastic fissured groundwaters were classified as Ca-HCO3type,whereas Coal mining and Surface fluvial water were determined to be of the Ca-SO4and mixed Ca-Mg-SO4types,indicating the influence of coal mining activities on the content of sulfate and dissolution of some carbonatites(dolomite).EWQI analysis of various excessive elements revealed that 47.9%of water samples were suitable for drinking purposes.The samples exhibiting poor water quality were sourced from the coal mining areas and the coal gangue mountains located upstream.According to both excellent and extremely poor percentages of different sample types,the ranking of the water quality suitability was as follows:Clastic fissured groundwater,Karst groundwater,Surface fluvial water,and Coal mining groundwater.IWQI revealed that 54.17%of the water resources in the study area were classified as suitable for irrigation use,whereas 8.33%were deemed unsuitable for irrigation purposes.Furthermore,the geospatial analysis indicated that there was no significant difference in irrigation water quality between the upstream and downstream regions.The ANOVA test further confirmed that the drinking water quality of Coal mining groundwater was adversely influenced by coal mining activities.Sensitivity analysis proved that the assessment results of EWQI and IWQI were reliable.Moreover,the sensitivity analysis illuminated that iron(Fe)had a substantial impact on EWQI values(2.41%≤SFe≤5.74%),further explaining that coal mining caused poor drinking water quality.Based on these findings,the study proffered some management recommendations for agricultural irrigation and human consumption in coal mining regions worldwide,including standardizing coal mining operations,protecting the soil environment,using advanced decontamination techniques,and implementing sustainable water quality management. 展开更多
关键词 Entropy weight quality index Sensitivity analysis Irrigation water quality index Water suitability assessment Coal-mining area
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Pareto-Based Multi-Objective Evaluation of Multivariate Signature Schemes in the NIST Standardization Process 认领 引用
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作者 Jian Zhang Seong-Min Cho Seung-Hyun Seo 《Computers, Materials & Continua》 SCIE EI 2026年第10期2021-2050,共30页
Classical digital signature schemes such as RSA and ECDSA are threatened by the development of quantum computers,prompting the need for post-quantum cryptography(PQC).Among the various PQC candidates,multivariate quad... Classical digital signature schemes such as RSA and ECDSA are threatened by the development of quantum computers,prompting the need for post-quantum cryptography(PQC).Among the various PQC candidates,multivariate quadratic(MQ)signature schemes have attracted significant attention due to their small signature size and efficient signing and verification.Evaluating these schemes is challenging because compactness,computational efficiency,and effective security are objectives that often conflict with one another and cannot usually be optimized simultaneously.In this work,we adapt a systematic multi-objective evaluation framework to MQ-based signature schemes in the NIST additional digital signature standardization process.The framework is based on Pareto optimality and enables a structured comparison of trade-offs among public key size,signature size,computational performance,and effective security without relying on subjective weighting.By representing each scheme in a multi-dimensional objective space,the Pareto-based framework used in this work identifies non-dominated schemes.Using this framework,we conduct a comparative analysis of four representative MQ-based signature schemes—UOV,MAYO,QR-UOV,and SNOVA.We analyze their design principles,parameter choices,performance characteristics,and security against known cryptanalytic attacks.To improve reproducibility and reduce hardware-related bias,all schemes are executed and evaluated on a unified platform,and performance metrics are obtained through repeated experiments.The results reveal that no single scheme simultaneously optimizes all criteria,highlighting inherent trade-offs among MQ-based designs.This Pareto-based evaluation framework provides a structured and reproducible approach for evaluating PQC schemes and offers practical insights for selecting appropriate schemes under different system and performance requirements. 展开更多
关键词 Post-quantum cryptography multivariate signatures Pareto optimality performance evaluation multi-objective analysis
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Simulation Analysis of Thermal Load and Ultimate Bearing Capacity of Hull Girder Under Cabin Fire 认领 引用 被引量：1
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作者 Chenfeng Li Guanchen Wei +2 位作者 Zixiong Kang Houyao Zhang Xueqian Zhou 《哈尔滨工程大学学报（英文版）》 CSCD 2026年第3期758-774,共17页
The hull structure may collapse or deform severely under fire conditions.In this study,the safety of a ship's cabin structure under fire is evaluated using a dual-zone large eddy fire scenario simulation method an... The hull structure may collapse or deform severely under fire conditions.In this study,the safety of a ship's cabin structure under fire is evaluated using a dual-zone large eddy fire scenario simulation method and a sequential thermo-mechanical coupling analysis method.Taking a three-compartment section of a naval surface ship as a case study,a machinery room fire scenario was simulated and the fire temperature field was analyzed.Through a dedicated data interface,the full-field time-varying temperature loads were mapped to the finite element model of the compartment section,thereby achieving thermo-mechanical coupled analysis of the cabin structure.The effects of thermal expansion on the hull structure under rising fire temperatures were considered in the evaluation of the residual load-bearing capacity of the cabin.The results indicate that the residual load-bearing capacity of the compartment is closely linked to the fire development stage.Temperature not only significantly affects the mechanical properties of steel but also influences the structural load-bearing capacity through thermally stresses. 展开更多
关键词 Ship and ocean engineering Cabin fire Fire simulation Thermal load Thermo-mechanical coupling analysis Residual bearing capacity
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Big data-driven analysis of shale gas enrichment patterns:A case study of the Wufeng–Longmaxi Formation in the Sichuan Basin and its periphery 认领 引用 被引量：1
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作者 Zongquan Hu Jin Meng +10 位作者 Wei Du Yitian Xiao Chuanxiang Sun Guanping Wang Baojian Shen Tianrui Ye Dongjun Feng Zengqin Liu Longfei Lu Ruyue Wang Qianru Wang 《Energy Geoscience》 EI CAS CSCD 2026年第1期166-178,共13页
The Wufeng–Longmaxi Formation derives its name from the Upper Ordovician Wufeng Formation and the Lower Silurian Longmaxi Formation,found in sequence in the Sichuan Basin.This formation hosts rich shale gas reservoir... The Wufeng–Longmaxi Formation derives its name from the Upper Ordovician Wufeng Formation and the Lower Silurian Longmaxi Formation,found in sequence in the Sichuan Basin.This formation hosts rich shale gas reservoirs,and its shale gas enrichment patterns are examined in this study using data from 1197 shale samples collected from 14 wells.Five basic and three key parameters,eight in all,are assessed for each sample.The five basic parameters include burial depth and the contents of four mineral types—quartz,clay,carbonate,and other minerals;the three key parameters,representing shale gas enrichment,are total organic carbon(TOC)content,porosity,and gas content.The SHapley Additive exPlanations(SHAP)analysis originated in game theory is used here in an interpretable machine learning framework,to address issues of heterogeneous data structure,noisy relationships,and multi-objective optimization.An evaluation of the ranking,contribution values,and conditions of changes for these parameters offers new quantitative insights into shale gas enrichment patterns.A quantitative analysis of the relationship between data-sets identifies the primary factors controlling TOC,porosity,and gas content of shale gas reservoirs.The results show that TOC and porosity jointly influence gas content;mineral content has a significant impact on both,TOC and porosity;and the burial depth governs porosity which,in turn,affects the conditions under which shale gas is preserved.Input parameter thresholds are also determined and provide a basis for the establishment of quantitative criteria to evaluate shale gas enrichment.The predictive accuracy of the model used in this study is significantly improved by the step-wise addition of two input parameters,namely TOC and porosity,separately and together.Thus,the game theory method in big data-driven analysis uses a combination of TOC and porosity to evaluate the gas content with encouraging results—suggesting that these are the key parameters that indicate source rock and reservoir properties. 展开更多
关键词 Big data-driven analysis Primary controlling factor Shale gas enrichment pattern Wufeng–Longmaxi Formation Sichuan basin
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Sensitivity analysis of vibration characteristics and dynamic responses of a tracked vehicle 认领 引用 被引量：1
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作者 Xun Wang Xue Rui +3 位作者 Jinghong Wang Xiaoting Rui Guoping Wang Pingxin Wang 《Defence Technology（防务技术）》 SCIE EI CAS CSCD 2026年第3期323-348,共26页
This study aims to establish an integrated sensitivity analysis framework for optimization and design of the dynamic performance of mechanical systems such as tracked vehicles,by combining the direct differentiation m... This study aims to establish an integrated sensitivity analysis framework for optimization and design of the dynamic performance of mechanical systems such as tracked vehicles,by combining the direct differentiation method(DDM)with the linear multibody system transfer matrix method(linear MSTMM).The rigid-flexible coupled multibody system dynamics model of a tracked vehicle is established using the linear MSTMM and validated through the modal test.Building upon the existing DDM-based eigenvalue sensitivity analysis method within the linear MSTMM,the DDM is embedded into it to enable programmable and efficient computation of dynamic response sensitivities for mechanical systems.The proposed approach is used to quantitatively evaluate the sensitivities of both natural vibration characteristics(e.g.,natural frequencies and mode shapes)and transient dynamic responses of the tracked vehicle with respect to system parameters,successfully identifying critical structural parameters.Compared to conventional finite difference methods,the developed methodology eliminates sensitivity to perturbation step sizes.The contributions of this work lie in establishing a unified theoretical foundation and analysis framework for guiding dynamics optimization and design of mechanical systems,and extending the applicability of the linear MSTMM to sensitivity analysis of transient dynamic responses. 展开更多
关键词 Tracked vehicle Sensitivity analysis Vibration characteristics Dynamic responses Direct differentiation method Linear multibody system transfer matrix method
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