At present,rail transit is developing rapidly in the world,and this means new and changing requirements for the training of talents in railway engineering experiments.Given the current problems of limited laboratory/f...At present,rail transit is developing rapidly in the world,and this means new and changing requirements for the training of talents in railway engineering experiments.Given the current problems of limited laboratory/field instruments for railway engineering experimentsand the safety/administrative difficulties of going to the frontline of railway lines to teach railway engineering experiemnts in the field,the Department of Railway Engineering of Central South University tried to introduce virtual reality(VR)technology to teach students experiments in the field of railway engineering.Through the virtualized experimental methods,students can carry out railway engineering experiments such as;vehicle wheel pair off-axis experiments,track geometry and position detection,etc.by immersive means.It was observed that after performing virtual simulation experiments,students appeared conversant in subsequent field experiments.Thus,VR greatly improves the teaching efficiency of railway engineering experiments.展开更多
Traditional villages represent a concentrated expression of the preservation and transmission of traditional culture within the context of rural revitalization,conveying important social,historical,and cultural values...Traditional villages represent a concentrated expression of the preservation and transmission of traditional culture within the context of rural revitalization,conveying important social,historical,and cultural values.Based on the perspective of spatial genes,this study selected 67 typical traditional villages in the Wuling Mountain Area in Southwest China as the case study.Between 2021 and 2024,by identifying and extracting spatial genes through the semi-structured interviews,Laddering Technique,and Landscape Pattern Index,and applying the geo-detector,the study explored the morphological characteristics and influencing mechanisms of traditional Tujia villages from the perspective of spatial genes of ecological-production-living.The findings are as follows:1)the spatial genes of traditional Tujia villages in the Wuling Mountain Area exhibit distinct patterns.Ecological genes,categorized by natural environment and layout,demonstrate a transition from clustered to dispersed patterns from the southern to northern regions.Production genes,categorized by location and cultivation patterns,show concentrated agricultural lands in the south and fragmented in the north.Living genes,divided into house plans,facades,and public buildings,reveal a higher prevalence of courtyards,stilted houses,and public buildings in northern areas.2)The spatial genes have evolved through the combined influence of four key factors:natural environment,socioeconomic development,policy systems,and ethnic culture.3)The integration of multi-source data and the application of both qualitative and quantitative approaches provide a comprehensive framework for analyzing traditional village form and their influencing mechanisms.This methodology offers valuable insights for developing sustainable strategies for the conservation of traditional Tujia traditional villages in this region.展开更多
Root-inspired anchorage systems in the field of bio-inspired geotechnics are renowned for enhancing the pullout capacity of traditional geotechnical anchorage systems by simulating the morphology and architecture of p...Root-inspired anchorage systems in the field of bio-inspired geotechnics are renowned for enhancing the pullout capacity of traditional geotechnical anchorage systems by simulating the morphology and architecture of plant root systems.However,limited studies have explored their practical applications,particularly in improving slope stability.To fill this gap,this study investigates the reinforcement effect of root-inspired anchors on slope stabilization using transparent soil modeling and 3D-printed anchors,and examines the impact of anchor branching patterns(i.e.branching numbers,branching angle,and branching nodes)on slope bearing capacity,shear band evolution,and temporal and spatial variation of slope deformation.The results show that peak slope bearing capacity increases with branching numbers and branching angles,correlating with the envelope area of the curved shear band.Upper anchors result in step-like deflections in the shear band near the trailing edge,while lower anchors convert the upward concave shear band into an upward convex one,thus increasing the slope bearing capacity.Slope deformation is minimized with intermediate branching parameters,such as a branching number of 4 and a branching angle of 45°.The anchor reinforcement mechanisms,i.e.anchor rod shear resistance,interface friction,anchor pullout capacity,and plate tightening effects,are comprehensively discussed,and the installation effects resulting from compromise slope modeling are identified as the contributors.These findings shed light on the failure process of root-inspired anchors reinforced slopes and provide a preliminary reference for potential applications,especially for the tradeoff between anchor branching,slope deformation,and slope stability.展开更多
This research provides analytical solutions to assess the bending-torsional vibration behavior of a thin-walled box girder subjected to moving random loads.The governing equations of a thin-walled box girder have been...This research provides analytical solutions to assess the bending-torsional vibration behavior of a thin-walled box girder subjected to moving random loads.The governing equations of a thin-walled box girder have been formulated to incorporate the impact of shear effect.The technique of integral transformation and the method of statistical analysis are employed to determine the average and standard deviation of the displacements at mid-span.The research’s findings are compared with the results from the Newmark-βtechnique and the Monte Carlo method to validate the effectiveness of the proposed strategy.By analysing the parameters,it is confirmed that neglecting the shear effect can result in substantial underestimation of lateral displacement.Compared to the Euler-Bernoulli beam theory,which does not consider the shear effect,the proposed theory shows differences of up to 109%in the average value and 213%in the standard deviation.These analysis results provide a reference for the vibration analysis of thin-walled box girders.展开更多
Irradiating hard rocks by a high-power laser can reduce localized hardness in the rocks;however,continuous lasers produce a large amount of melt that inhibits further heat absorption.Pulsed lasers allow rocks to absor...Irradiating hard rocks by a high-power laser can reduce localized hardness in the rocks;however,continuous lasers produce a large amount of melt that inhibits further heat absorption.Pulsed lasers allow rocks to absorb and dissipate energy and avoid melt formation.In this study,200 W nanosecond pulsed laser was used to irradiate granite.The effects of laser parameters on the thermal cracking morphology,temperature field,warming pattern,and Leeb hardness of the granite surface were analyzed.The optimal laser parameters for softening granite were determined by performing objective optimization in MATLAB using granite's melting point as the reference.Nanoindentation techniques were employed to assess the softening characteristics of the granite surface along the longitudinal direction.The results showed that three main forms of thermal damage occurred on the granite surface:oxidative decomposition,spalling,and melting.The damage state was affected by the average laser power,with the pulse width and repetition frequency affecting surface damage differently.Appropriate laser parameters effectively controlled the melt damage on the granite surface,and irradiation with nanosecond pulsed lasers effectively reduced surface hardness.However,excessive power can generate large amounts of hard melts and weaken the softening effect.展开更多
To study the deep rock strength,this paper proposes a five-parameter deviatoric function to modify the deviatoric function of the Hoek-Brown(HB)criterion introduces an intelligent optimization algorithm(IOA)to determi...To study the deep rock strength,this paper proposes a five-parameter deviatoric function to modify the deviatoric function of the Hoek-Brown(HB)criterion introduces an intelligent optimization algorithm(IOA)to determine the material parameters,thereby constructing a modified three-dimensional(3D)HB criterion,namely MMCHB criterion.The MMCHB criterion avoids the defects of the traditional HB criterion,which neither considers the Intermediate principal stress(IPS)nor meets the smoothness requirement,and overcomes the shortcomings of parameter determination based on conventional methods,which can lead to a single deviatoric plane envelope shape.This modified criterion can be degenerated into the HB criterion under triaxial compression and tension.The proposed criterion is verified using true triaxial test data for six types of intact rock,and the modified 3D HB criteria are selected for comparative study.The results show that the proposed criterion under the IOA has the best prediction error for the six rock types,ranging from 1.6636% to 3.4023%.Overall,the MMCHB criterion outperforms the existing modified 3D HB criteria in prediction.Based on the proposed MMCHB criterion,an intelligent prediction system is developed,which provides a new approach for intelligent prediction of deep rock strength and dynamic construction of rock material parameters.展开更多
To analyse the collapse mode of the surrounding rock when a tunnel is excavated in a karst region,a scaled model test based on particle image velocimetry(PIV)is designed.The mix ratios of similar materials for differe...To analyse the collapse mode of the surrounding rock when a tunnel is excavated in a karst region,a scaled model test based on particle image velocimetry(PIV)is designed.The mix ratios of similar materials for different surrounding rock grades are determined via material testing.PIV is used to analyse the images of the surrounding rock deformation captured by a high-definition digital camera during the model experiment.Based on the displacement and velocity diagrams from the model experiment,the range and shape of the excavation-induced collapse of surrounding rock between the karst cave and the tunnel are obtained.Furthermore,the numerical simulation and upper bound theorem are employed to validate the results obtained from the model experiment.The good agreement of the surrounding rock collapse ranges among the model test,numerical simulation and theoretical calculation,showing that the model experiment results presented here is valid.展开更多
Rainfall infiltrationand groundwater level fluctuationcause the subgrade fillerto be wetted,rendering the subgrade prone to accelerated permanent deformation under long-term trafficloading.However,the coupled effects ...Rainfall infiltrationand groundwater level fluctuationcause the subgrade fillerto be wetted,rendering the subgrade prone to accelerated permanent deformation under long-term trafficloading.However,the coupled effects of moisture variation and traffic loads on the wetting-induced deformation behaviour of compacted lateritic clay remain unclear.A series of repeated load triaxial tests was conducted to investigate the influenceof moisture variation and dynamic deviatoric stress on the dynamic resilient modulus and accumulative plastic strain of compacted lateritic clay under both single-stage and multistage loading modes.Scanning electron microscopy and nuclear magnetic resonance tests were employed to analyse the evolution of microstructure and pore characteristics under different wetting conditions.The results revealed that the accumulated plastic strain increases while the dynamic resilient modulus decreases with increasing dynamic deviatoric stress,moisture content,and loading number.When the moisture content exceeds a critical threshold,the dynamic resilient modulus and critical dynamic stress decrease nonlinearly,resulting in rapid accumulation of plastic strain.Increased moisture content accelerates the degradation of interparticle bonding and alters the particle distribution of lateritic clay.Compared with the single-stage loading mode,the wetting-induced deformation is significantlyreduced under multistage loading due to the influenceof stress history.Prediction models for the accumulative deformation,dynamic resilient modulus,and critical dynamic stress of compacted lateritic clay are established,which effectively capture the relationship between the dynamic characteristics and moisture content.The research results contribute to evaluating the service performance of lateritic clay subgrades in humid and rainy regions.展开更多
This paper proposes the analytical solutions involving damping effects for the dynamic response of a simply supported thin-walled curved beam under uniformly variable two-axle moving loads in four directions:vertical,...This paper proposes the analytical solutions involving damping effects for the dynamic response of a simply supported thin-walled curved beam under uniformly variable two-axle moving loads in four directions:vertical,torsional,radial,and axial.The warping stiffness and damping of the thin-walled beam were comprehensively considered in the vibration control equations.Unlike traditional one-axle load cases,this study employs a more realistic two-axle vehicle load model.Based on the modal superposition method,the control vibration equations for thin-walled curved beams in-plane and out-ofplane under variable speed moving loads were solved using a combination of the Fourier sine transform method,the Galerkin method,and the Laplace transform method.Analytical solutions for the dynamic responses were derived in integral form,facilitating direct numerical computation.The proposed computational method’s effectiveness and accuracy were validated against published research.Subsequently,the dynamic responses of the thin-walled curved beam under one-axle and two-axle moving load models were compared,and the effects of initial load velocity,load acceleration,and center angle of the curved beam on the dynamic responses were investigated through extensive parameter research.The research results provide valuable insights into the structural behavior of thin-walled curved beams under the moving loading with variable speed.展开更多
The shear adhesive strength at the clay‒metal interfaces serves as a critical parameter for evaluating the soil adhesion and metal interface mudding phenomena.However,its rapid determination remains challenging becaus...The shear adhesive strength at the clay‒metal interfaces serves as a critical parameter for evaluating the soil adhesion and metal interface mudding phenomena.However,its rapid determination remains challenging because of the demanding requirements for high-precision instrumentation and complex calibration procedures.In this study,an integrated framework was presented that combined physical experiments,theoretical approaches,and machine learning to enable the autonomous determination of the shear adhesive strength of soil under multiple influencing factors.We developed an improved particle swarm optimization-optimized ordinary kriging(IPOK)surrogate testing method to enhance the limited experimental datasets,and a lightweight residual neural network(RLNet)was then used for effective intra-and extra-domain predictions.A comprehensive model discussion,comparison,and interpretability analysis were conducted.The results from 64 physical experiments considering the consistency index,normal stress,clay content,rotation rate,and disc material effectively characterized the shear adhesion behaviour of kaolin.The IPOK surrogate experiments successfully replicated the physical data points while enriching the dataset details.The RLNet model trained with IPOK data achieved superior prediction performance,with a root mean square error of 7.491 and a determination coefficient of 0.927 in 16 orthogonal validation tests,and high similarity was attained between the predicted and measured values.A detailed model discussion analysis confirmed the superiority of the IPOK-RLNet framework.This methodology provides a cost-effective rapid analysis technique for assessing clay‒metal interface shear adhesion,significantly reducing laboratory testing requirements and experimental costs while increasing engineering efficiency.展开更多
Real-time identification of rock chip size and shape distributions from muck images plays a critical role in intelligently optimizing cutterhead thrust and torque parameters for tunnel boring machines(TBM).However,com...Real-time identification of rock chip size and shape distributions from muck images plays a critical role in intelligently optimizing cutterhead thrust and torque parameters for tunnel boring machines(TBM).However,complex light environments in field images are difficult to recognize via traditional methods.This paper proposes a U-Net-SAM framework integrating semantic segmentation and the vision foundation model—Segment Anything Model(SAM),combined with dropout-based uncertainty analysis,achieving efficient rock chip segmentation and parameter quantification.First,a U-Net is trained to identify the rock mass centroid as an automatic SAM prompt.Next,an overlap region optimization strategy based on Intersection over Union(IoU)and a noise filtering method is employed to tackle boundary blurring and particle adhesion.Finally,a Dropout layer is added to implement the committee-based uncertainty analysis model and quantify predictive uncertainty.Results show that:(1)U-Net-SAM improves mean F1-score and PA by 9.1%and 7.8%over U-Net;(2)A strong correlation between prediction standard deviation(SD)and error rate validates the proposed uncertainty quantification strategy.This framework provides reliable rock chip perception for intelligent TBM tunneling,with potential applications in other engineering scenarios.展开更多
Ensuring the operational safety of high-speed trains during earthquakes is a core challenge for China's extensive high-speed rail network.While machine learning(ML)-based seismic response assessment has become a m...Ensuring the operational safety of high-speed trains during earthquakes is a core challenge for China's extensive high-speed rail network.While machine learning(ML)-based seismic response assessment has become a mainstream approach,conventional ML methods suffer from limitations such as heavy training data demands,poor interpretability,and over-reliance on deterministic predictions.This study proposes an interpretable dynamic ensemble learning model integrated with sample augmentation to predict extreme seismic responses of vehicle-track-bridge(VTB)systems.The framework combines generative adversarial networks(GAN)for data generation,the Kepler optimization algorithm(KOA)—chosen for its superior convergence speed and optimization performance over classical algorithms—for hyperparameter tuning,and a dynamically weighted ensemble of long short-term memory(LSTM)-attention and support vector machine(SVM).A 3D nonlinear VTB model under bidirectional seismic excitation serves as the physical basis,with GAN-based augmentation mitigating data imbalance.Comprehensive validation against traditional ML models confirms significant accuracy gains,marked by reduced mean absolute error(MAE)and coefficient of determination(R2)values consistently exceeding 0.97.Shapley additive explanation(SHAP)analysis identifies key input features affecting wheel-rail interaction parameters,and Gaussian probabilistic interval prediction quantifies predictive uncertainty with adaptive confidence bounds.The findings offer references for seismic prediction and safety risk assessment of high-speed railways.展开更多
Pressure transients generated by two trains passing each other within an enclosed noise barrier can induce fatigue loads,cause damage to the noise barrier structures,and pose safety risks to high-speed trains.This stu...Pressure transients generated by two trains passing each other within an enclosed noise barrier can induce fatigue loads,cause damage to the noise barrier structures,and pose safety risks to high-speed trains.This study numerically investigated the influence of vents on pressure transients when high-speed trains pass each other at 350 km/h within an enclosed noise barrier,focusing on the vent cross-sectional area and number.Numerical simulations were conducted utilizing the Renormalization Group(RNG)k-εturbulence model with a dynamic mesh method,and these simulations were validated against full-scale experimental results.The results indicated that vents altered the pressure waveform and significantly reduced the peak pressures induced by train intersections in the enclosed noise barrier.For a single vent,the optimal cross-sectional area ratio between the vent and the noise barrier was determined to be 0.24,achieving a 53.3%reduction in peak-to-peak pressure.Introducing additional vents at the midpoints of the regions[ML/(1+M),(L−Ltr)/2]and[(L+Ltr)/2,L/(1+M)]optimizes the distribution of peak pressures and further mitigates the pressure amplitudes.The vents significantly contribute to the reduction of pressure transients within the enclosed noise barrier,presenting a promising solution for alleviating train-induced aerodynamic pressure in railway enclosed noise barriers.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
The current technical standards primarily relied on experience to judge the interfacial bonding properties between the self-compacting concrete filling layer and the steam-cured concrete precast slab in CRTS Ⅲ slab b...The current technical standards primarily relied on experience to judge the interfacial bonding properties between the self-compacting concrete filling layer and the steam-cured concrete precast slab in CRTS Ⅲ slab ballastless track structure.This study sought to enhance technical standards for evaluating interfacial bonding properties by suggesting the use of the splitting tensile strength to evaluate the impact of bubble defects.Specimens were fabricated through on-site experiment.The percent of each area of 6 cm2or more bubble defect was 0 in most of specimens.When the cumulative area of all bub-ble defects reached 12%,the splitting tensile strength value was 0.67 MPa,which exceeded the minimum required value of 0.5 MPa for ensuring bonding interface adhesion.Furthermore,when the cumulative area of all bubble defects reached 8%,the splitting tensile strength value was 0.85 MPa,which exceeded the minimum required value of 0.8 MPa,thereby over-coming the negative impact of each area of 10 cm2 or more bubble defect.Additionally,keeping the cumulative area of each area of 6 cm2 or more bubble defect below 6%ensured adequate bonding strength and reduced the occurrence of specimens with lower splitting tensile strength values.展开更多
Based on the surrounding rock arching and hingeless arch structure theories,a theoretical formula for the minimum overburden thickness was derived.By substituting different mechanical parameters of multiple tunnels at...Based on the surrounding rock arching and hingeless arch structure theories,a theoretical formula for the minimum overburden thickness was derived.By substituting different mechanical parameters of multiple tunnels at home and abroad into this formula,minimum self-supporting arch formulas under different surrounding rock classes were obtained.Based on the actual engineering case of a dual-mode shield tunnel,a numerical model for the tunnel boring machine excavation mode was established to verify the theoretical formulas.Next,three surrounding rock classes,four soil layer thickness gradients,and twelve overburden thickness gradients were designed,resulting in 144 models formed by the combination of the three factors.Uniform tests were conducted,and the pressure arch heights under different surrounding rock classes were obtained.The results show that in the theoretical formulas,the tunnel radius has a linear positive correlation with the pressure arch height,while the tunnel depth has a linear positive correlation with the square of the pressure arch height.According to numerical simulation results,the pressure arch height increases with the increase of the overburden thickness and then tends toward a critical value of twice the tunnel diameter.Finally,the results of the numerical model are in good agreement with those calculated using the theoretical formulas,verifying the rationality of the established theoretical formulas.展开更多
The rise of deep learning has brought about transformative advancements in both scientific research and engineering applications.The 2024 Nobel Prizes,particularly in Physics and Chemistry,highlighted the revolutionar...The rise of deep learning has brought about transformative advancements in both scientific research and engineering applications.The 2024 Nobel Prizes,particularly in Physics and Chemistry,highlighted the revolutionary impact of deep learning,with AlphaFold’s breakthrough in protein structure prediction exemplifying its potential.This review explores the historical evolution of deep learning,from its foundational theories in neural networks and connectionism to its modern applications in various fields.Focus is given to its use in geotechnical engineering,particularly in geological disaster prediction,tunnel safety monitoring,and structural design optimization.The integration of deep learning models such as Convolutional Neural Networks(CNNs),Recurrent Neural Networks(RNNs),and Transformers has enabled significant progress in analyzing complex,unstructured data,offering innovative solutions to longstanding engineering challenges.The review also examines the opportunities and challenges faced by the field,advocating for interdisciplinary collaboration and open data sharing to further unlock deep learning’s potential in advancing both scientific and engineering disciplines.As deep learning continues to evolve,it promises to drive further innovation,shaping the future of engineering practices and scientific discovery.展开更多
Cross-sectional warping of box and tubular beam-columns is often neglected in previous studies and this treatment leads to sig-nificant errors for short beam-columns.This article develops a higher-order beam model for...Cross-sectional warping of box and tubular beam-columns is often neglected in previous studies and this treatment leads to sig-nificant errors for short beam-columns.This article develops a higher-order beam model for exactly analyzing the static and dynamic behaviors of boxubular beams and columns by taking into account the cross-sectional warping and the higher-order effect(HOE)of axial force.Appropriate warping shapes are constructed for the box and annular cross-section,respectively.Shear deformation and rotary inertia of the corss-section are considered simultaneously,but no shear correction factor is needed.The bending,buckling,wave,and vibration are analyzed.In particular,the HOE of the axial force on the static behaviors including the deflection and critical load,and the dynamic behaviors including the phase velocity and natural frequency are analyzed for hollow-core structures or boxubular beam-columns.The classical Euler buckling loads and natural frequencies are affected by the HOE of the axial force.The transverse waves are dispersive when the axial force is present.The presented model is also suit-able for axially loaded shear deformation beams with rectangular and circular cross-sections only if the hollow-core cross-section reduces to a rectangle and a circle,respectively.展开更多
Plant roots serve as a natural reinforcement method with the potential to significantly enhance slope stability.In engineering practice,roots can function synergistically with geosynthetics,reducing the reliance on ar...Plant roots serve as a natural reinforcement method with the potential to significantly enhance slope stability.In engineering practice,roots can function synergistically with geosynthetics,reducing the reliance on artificial materials.Based on a three-dimensional(3D)rotational failure mechanism,this study proposes a novel framework to evaluate the influence of plant roots on the stability of geosynthetic-reinforced slopes.By integrating the hydrological effects of transpiration and the mechanical composite action of root-soil interaction,the reinforcing capacity of uniform root systems is comprehensively assessed.The required dimensionless reinforcement strength at the limit failure state is derived using the functional balance equation.The validity of the proposed method is confirmed through comparisons with existing two-dimensional(2D)solutions for vegetated slopes and 3D solutions for non-vegetated reinforced slopes.Furthermore,various parameter plots are provided to facilitate design analysis.The results indicate that accounting for 3D spatial effects and plant root reinforcement significantly reduces the required reinforcement strength,thereby lowering construction costs and enhancing overall slope safety.展开更多
The tunnel face stability is investigated in inclined layered soils under steady unsaturated seepage and seismic loading.The rigorous estimate of the maximum face pressure is provided during tunnel excavation.The modi...The tunnel face stability is investigated in inclined layered soils under steady unsaturated seepage and seismic loading.The rigorous estimate of the maximum face pressure is provided during tunnel excavation.The modified pseudo dynamic method is applied to capture the spatial and temporal characteristics of seismic forces.A spatial distribution formula for suction stress under steady seepage conditions is derived for inclined layered soils.The study examines how inclined stratification influences the shape of failure mechanisms,the suction head profile,and variations in seismic acceleration.The spatial and temporal changes in suction stress and seismic loading are integrated into the energy equilibrium formulation based on a three-dimensional discretized failure model,and the critical face support pressure can be calculated via an integrated optimization strategy.The distributions of seismic acceleration ratios are obtained under various dynamic parameter conditions and the spatial variation of suction stress in the soil ahead of the tunnel face under different hydraulic hysteresis scenarios.The proposed analytical approach is compared with previous research,and the differences in results under different representations of seismic waves are also discussed.The research results can provide a valid framework to evaluate the influence of seismic excitation,steady-unsaturated infiltration,hydraulic hysteresis,and inclined stratification on tunnel face stability.展开更多
基金Education and Teaching Reform Project of Central South University(2019jy097).
摘要At present,rail transit is developing rapidly in the world,and this means new and changing requirements for the training of talents in railway engineering experiments.Given the current problems of limited laboratory/field instruments for railway engineering experimentsand the safety/administrative difficulties of going to the frontline of railway lines to teach railway engineering experiemnts in the field,the Department of Railway Engineering of Central South University tried to introduce virtual reality(VR)technology to teach students experiments in the field of railway engineering.Through the virtualized experimental methods,students can carry out railway engineering experiments such as;vehicle wheel pair off-axis experiments,track geometry and position detection,etc.by immersive means.It was observed that after performing virtual simulation experiments,students appeared conversant in subsequent field experiments.Thus,VR greatly improves the teaching efficiency of railway engineering experiments.
基金Under the auspices of Natural Science Foundation General Project of Hainan Province(No.722MS066)Chongqing Municipal Education Science Planning Project(No.K25ZZ2070096)。
摘要Traditional villages represent a concentrated expression of the preservation and transmission of traditional culture within the context of rural revitalization,conveying important social,historical,and cultural values.Based on the perspective of spatial genes,this study selected 67 typical traditional villages in the Wuling Mountain Area in Southwest China as the case study.Between 2021 and 2024,by identifying and extracting spatial genes through the semi-structured interviews,Laddering Technique,and Landscape Pattern Index,and applying the geo-detector,the study explored the morphological characteristics and influencing mechanisms of traditional Tujia villages from the perspective of spatial genes of ecological-production-living.The findings are as follows:1)the spatial genes of traditional Tujia villages in the Wuling Mountain Area exhibit distinct patterns.Ecological genes,categorized by natural environment and layout,demonstrate a transition from clustered to dispersed patterns from the southern to northern regions.Production genes,categorized by location and cultivation patterns,show concentrated agricultural lands in the south and fragmented in the north.Living genes,divided into house plans,facades,and public buildings,reveal a higher prevalence of courtyards,stilted houses,and public buildings in northern areas.2)The spatial genes have evolved through the combined influence of four key factors:natural environment,socioeconomic development,policy systems,and ethnic culture.3)The integration of multi-source data and the application of both qualitative and quantitative approaches provide a comprehensive framework for analyzing traditional village form and their influencing mechanisms.This methodology offers valuable insights for developing sustainable strategies for the conservation of traditional Tujia traditional villages in this region.
基金supported by the High-end Foreign Expert Introduction Program(Grant No.G2022165004L)the Sichuan Transportation Science and Technology Project(Grant No.2018-ZL-01)China Railway 20th Bureau Science and Technology Project(Grant No.YF1900SD07B).
摘要Root-inspired anchorage systems in the field of bio-inspired geotechnics are renowned for enhancing the pullout capacity of traditional geotechnical anchorage systems by simulating the morphology and architecture of plant root systems.However,limited studies have explored their practical applications,particularly in improving slope stability.To fill this gap,this study investigates the reinforcement effect of root-inspired anchors on slope stabilization using transparent soil modeling and 3D-printed anchors,and examines the impact of anchor branching patterns(i.e.branching numbers,branching angle,and branching nodes)on slope bearing capacity,shear band evolution,and temporal and spatial variation of slope deformation.The results show that peak slope bearing capacity increases with branching numbers and branching angles,correlating with the envelope area of the curved shear band.Upper anchors result in step-like deflections in the shear band near the trailing edge,while lower anchors convert the upward concave shear band into an upward convex one,thus increasing the slope bearing capacity.Slope deformation is minimized with intermediate branching parameters,such as a branching number of 4 and a branching angle of 45°.The anchor reinforcement mechanisms,i.e.anchor rod shear resistance,interface friction,anchor pullout capacity,and plate tightening effects,are comprehensively discussed,and the installation effects resulting from compromise slope modeling are identified as the contributors.These findings shed light on the failure process of root-inspired anchors reinforced slopes and provide a preliminary reference for potential applications,especially for the tradeoff between anchor branching,slope deformation,and slope stability.
基金supported by the Excellent Youth Project of Hunan Provincial Department of Education(Grant No.22B0266)。
摘要This research provides analytical solutions to assess the bending-torsional vibration behavior of a thin-walled box girder subjected to moving random loads.The governing equations of a thin-walled box girder have been formulated to incorporate the impact of shear effect.The technique of integral transformation and the method of statistical analysis are employed to determine the average and standard deviation of the displacements at mid-span.The research’s findings are compared with the results from the Newmark-βtechnique and the Monte Carlo method to validate the effectiveness of the proposed strategy.By analysing the parameters,it is confirmed that neglecting the shear effect can result in substantial underestimation of lateral displacement.Compared to the Euler-Bernoulli beam theory,which does not consider the shear effect,the proposed theory shows differences of up to 109%in the average value and 213%in the standard deviation.These analysis results provide a reference for the vibration analysis of thin-walled box girders.
基金Project(52378425)supported by the National Natural Science Foundation of ChinaProject(1053320221044)supported by the Fundamental Research Funds for the Central Universities,China。
摘要Irradiating hard rocks by a high-power laser can reduce localized hardness in the rocks;however,continuous lasers produce a large amount of melt that inhibits further heat absorption.Pulsed lasers allow rocks to absorb and dissipate energy and avoid melt formation.In this study,200 W nanosecond pulsed laser was used to irradiate granite.The effects of laser parameters on the thermal cracking morphology,temperature field,warming pattern,and Leeb hardness of the granite surface were analyzed.The optimal laser parameters for softening granite were determined by performing objective optimization in MATLAB using granite's melting point as the reference.Nanoindentation techniques were employed to assess the softening characteristics of the granite surface along the longitudinal direction.The results showed that three main forms of thermal damage occurred on the granite surface:oxidative decomposition,spalling,and melting.The damage state was affected by the average laser power,with the pulse width and repetition frequency affecting surface damage differently.Appropriate laser parameters effectively controlled the melt damage on the granite surface,and irradiation with nanosecond pulsed lasers effectively reduced surface hardness.However,excessive power can generate large amounts of hard melts and weaken the softening effect.
基金financially supported by the National Natural Science Foundation of China(Nos.42567024 and 52334004)the Yunnan Fundamental Research Projects,China(No.202401BE070001-051)+2 种基金the Yunnan Major Scientific and Technological Projects,China(No.202602AG050013)the Key Laboratory of Geohazard Forecast and Geoecological Restoration in Plateau Mountainous Area,MNR,Chinathe Yunnan Key Laboratory of Geohazard Forecast and Geoecological Restoration in Plateau Mountainous Area,China。
摘要To study the deep rock strength,this paper proposes a five-parameter deviatoric function to modify the deviatoric function of the Hoek-Brown(HB)criterion introduces an intelligent optimization algorithm(IOA)to determine the material parameters,thereby constructing a modified three-dimensional(3D)HB criterion,namely MMCHB criterion.The MMCHB criterion avoids the defects of the traditional HB criterion,which neither considers the Intermediate principal stress(IPS)nor meets the smoothness requirement,and overcomes the shortcomings of parameter determination based on conventional methods,which can lead to a single deviatoric plane envelope shape.This modified criterion can be degenerated into the HB criterion under triaxial compression and tension.The proposed criterion is verified using true triaxial test data for six types of intact rock,and the modified 3D HB criteria are selected for comparative study.The results show that the proposed criterion under the IOA has the best prediction error for the six rock types,ranging from 1.6636% to 3.4023%.Overall,the MMCHB criterion outperforms the existing modified 3D HB criteria in prediction.Based on the proposed MMCHB criterion,an intelligent prediction system is developed,which provides a new approach for intelligent prediction of deep rock strength and dynamic construction of rock material parameters.
基金Projects(52278395,52108388)supported by the National Natural Science Foundation of ChinaProject(2022JJ40531)supported by the Natural Science Foundation of Hunan Province,China。
摘要To analyse the collapse mode of the surrounding rock when a tunnel is excavated in a karst region,a scaled model test based on particle image velocimetry(PIV)is designed.The mix ratios of similar materials for different surrounding rock grades are determined via material testing.PIV is used to analyse the images of the surrounding rock deformation captured by a high-definition digital camera during the model experiment.Based on the displacement and velocity diagrams from the model experiment,the range and shape of the excavation-induced collapse of surrounding rock between the karst cave and the tunnel are obtained.Furthermore,the numerical simulation and upper bound theorem are employed to validate the results obtained from the model experiment.The good agreement of the surrounding rock collapse ranges among the model test,numerical simulation and theoretical calculation,showing that the model experiment results presented here is valid.
基金supported by the National Natural Science Foundation of China(Grant No.52578541)the Natural Science Foundation of Hunan Province(Grant No.2024JJ5429)the Science and Technology Research and Development Project of China State Railway Group Co.,Ltd.(Grant No.L2023G002),for which the authors are grateful.
摘要Rainfall infiltrationand groundwater level fluctuationcause the subgrade fillerto be wetted,rendering the subgrade prone to accelerated permanent deformation under long-term trafficloading.However,the coupled effects of moisture variation and traffic loads on the wetting-induced deformation behaviour of compacted lateritic clay remain unclear.A series of repeated load triaxial tests was conducted to investigate the influenceof moisture variation and dynamic deviatoric stress on the dynamic resilient modulus and accumulative plastic strain of compacted lateritic clay under both single-stage and multistage loading modes.Scanning electron microscopy and nuclear magnetic resonance tests were employed to analyse the evolution of microstructure and pore characteristics under different wetting conditions.The results revealed that the accumulated plastic strain increases while the dynamic resilient modulus decreases with increasing dynamic deviatoric stress,moisture content,and loading number.When the moisture content exceeds a critical threshold,the dynamic resilient modulus and critical dynamic stress decrease nonlinearly,resulting in rapid accumulation of plastic strain.Increased moisture content accelerates the degradation of interparticle bonding and alters the particle distribution of lateritic clay.Compared with the single-stage loading mode,the wetting-induced deformation is significantlyreduced under multistage loading due to the influenceof stress history.Prediction models for the accumulative deformation,dynamic resilient modulus,and critical dynamic stress of compacted lateritic clay are established,which effectively capture the relationship between the dynamic characteristics and moisture content.The research results contribute to evaluating the service performance of lateritic clay subgrades in humid and rainy regions.
基金supported by the National Engineering Research Center of High-speed Railway Construction Technology(Grant No.HSR202302).
摘要This paper proposes the analytical solutions involving damping effects for the dynamic response of a simply supported thin-walled curved beam under uniformly variable two-axle moving loads in four directions:vertical,torsional,radial,and axial.The warping stiffness and damping of the thin-walled beam were comprehensively considered in the vibration control equations.Unlike traditional one-axle load cases,this study employs a more realistic two-axle vehicle load model.Based on the modal superposition method,the control vibration equations for thin-walled curved beams in-plane and out-ofplane under variable speed moving loads were solved using a combination of the Fourier sine transform method,the Galerkin method,and the Laplace transform method.Analytical solutions for the dynamic responses were derived in integral form,facilitating direct numerical computation.The proposed computational method’s effectiveness and accuracy were validated against published research.Subsequently,the dynamic responses of the thin-walled curved beam under one-axle and two-axle moving load models were compared,and the effects of initial load velocity,load acceleration,and center angle of the curved beam on the dynamic responses were investigated through extensive parameter research.The research results provide valuable insights into the structural behavior of thin-walled curved beams under the moving loading with variable speed.
基金financial support pro-vided by National Natural Science Foundation of China(Grant No.52178402).
摘要The shear adhesive strength at the clay‒metal interfaces serves as a critical parameter for evaluating the soil adhesion and metal interface mudding phenomena.However,its rapid determination remains challenging because of the demanding requirements for high-precision instrumentation and complex calibration procedures.In this study,an integrated framework was presented that combined physical experiments,theoretical approaches,and machine learning to enable the autonomous determination of the shear adhesive strength of soil under multiple influencing factors.We developed an improved particle swarm optimization-optimized ordinary kriging(IPOK)surrogate testing method to enhance the limited experimental datasets,and a lightweight residual neural network(RLNet)was then used for effective intra-and extra-domain predictions.A comprehensive model discussion,comparison,and interpretability analysis were conducted.The results from 64 physical experiments considering the consistency index,normal stress,clay content,rotation rate,and disc material effectively characterized the shear adhesion behaviour of kaolin.The IPOK surrogate experiments successfully replicated the physical data points while enriching the dataset details.The RLNet model trained with IPOK data achieved superior prediction performance,with a root mean square error of 7.491 and a determination coefficient of 0.927 in 16 orthogonal validation tests,and high similarity was attained between the predicted and measured values.A detailed model discussion analysis confirmed the superiority of the IPOK-RLNet framework.This methodology provides a cost-effective rapid analysis technique for assessing clay‒metal interface shear adhesion,significantly reducing laboratory testing requirements and experimental costs while increasing engineering efficiency.
基金financial support of National Natural Science Foundation of China(Grant No.52008039)the Natural Science Foundation of Hunan Province(Grant No.2021JJ40592)support from the Research Grants Council of Hong Kong(Grant No.GRF#16208224).
摘要Real-time identification of rock chip size and shape distributions from muck images plays a critical role in intelligently optimizing cutterhead thrust and torque parameters for tunnel boring machines(TBM).However,complex light environments in field images are difficult to recognize via traditional methods.This paper proposes a U-Net-SAM framework integrating semantic segmentation and the vision foundation model—Segment Anything Model(SAM),combined with dropout-based uncertainty analysis,achieving efficient rock chip segmentation and parameter quantification.First,a U-Net is trained to identify the rock mass centroid as an automatic SAM prompt.Next,an overlap region optimization strategy based on Intersection over Union(IoU)and a noise filtering method is employed to tackle boundary blurring and particle adhesion.Finally,a Dropout layer is added to implement the committee-based uncertainty analysis model and quantify predictive uncertainty.Results show that:(1)U-Net-SAM improves mean F1-score and PA by 9.1%and 7.8%over U-Net;(2)A strong correlation between prediction standard deviation(SD)and error rate validates the proposed uncertainty quantification strategy.This framework provides reliable rock chip perception for intelligent TBM tunneling,with potential applications in other engineering scenarios.
基金Project(52578619)supported by the National Natural Science Foundations of ChinaProject(2025-Major-02-01)supported by the Science and Technology Research and Development Program Project of China Railway Group Limited。
摘要Ensuring the operational safety of high-speed trains during earthquakes is a core challenge for China's extensive high-speed rail network.While machine learning(ML)-based seismic response assessment has become a mainstream approach,conventional ML methods suffer from limitations such as heavy training data demands,poor interpretability,and over-reliance on deterministic predictions.This study proposes an interpretable dynamic ensemble learning model integrated with sample augmentation to predict extreme seismic responses of vehicle-track-bridge(VTB)systems.The framework combines generative adversarial networks(GAN)for data generation,the Kepler optimization algorithm(KOA)—chosen for its superior convergence speed and optimization performance over classical algorithms—for hyperparameter tuning,and a dynamically weighted ensemble of long short-term memory(LSTM)-attention and support vector machine(SVM).A 3D nonlinear VTB model under bidirectional seismic excitation serves as the physical basis,with GAN-based augmentation mitigating data imbalance.Comprehensive validation against traditional ML models confirms significant accuracy gains,marked by reduced mean absolute error(MAE)and coefficient of determination(R2)values consistently exceeding 0.97.Shapley additive explanation(SHAP)analysis identifies key input features affecting wheel-rail interaction parameters,and Gaussian probabilistic interval prediction quantifies predictive uncertainty with adaptive confidence bounds.The findings offer references for seismic prediction and safety risk assessment of high-speed railways.
基金Projects(52422811,52327810)supported by the National Natural Science Foundation of China。
摘要Pressure transients generated by two trains passing each other within an enclosed noise barrier can induce fatigue loads,cause damage to the noise barrier structures,and pose safety risks to high-speed trains.This study numerically investigated the influence of vents on pressure transients when high-speed trains pass each other at 350 km/h within an enclosed noise barrier,focusing on the vent cross-sectional area and number.Numerical simulations were conducted utilizing the Renormalization Group(RNG)k-εturbulence model with a dynamic mesh method,and these simulations were validated against full-scale experimental results.The results indicated that vents altered the pressure waveform and significantly reduced the peak pressures induced by train intersections in the enclosed noise barrier.For a single vent,the optimal cross-sectional area ratio between the vent and the noise barrier was determined to be 0.24,achieving a 53.3%reduction in peak-to-peak pressure.Introducing additional vents at the midpoints of the regions[ML/(1+M),(L−Ltr)/2]and[(L+Ltr)/2,L/(1+M)]optimizes the distribution of peak pressures and further mitigates the pressure amplitudes.The vents significantly contribute to the reduction of pressure transients within the enclosed noise barrier,presenting a promising solution for alleviating train-induced aerodynamic pressure in railway enclosed noise barriers.
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supported by a grant from China railway corporation science and technology research and development plan project(Grant No.2017G005-B)funding support by Wuyi University’s Hong Kong and Macao Joint Research and Development Fund(Grants No.2021WGALH15)funding support by the Innovation and Technology Commission of Hong Kong SAR Government to the Hong Kong Branch of National Rail Transit Electrification and Automation Engineering Technology Research Center(Grant No.K-BBY1).
摘要The current technical standards primarily relied on experience to judge the interfacial bonding properties between the self-compacting concrete filling layer and the steam-cured concrete precast slab in CRTS Ⅲ slab ballastless track structure.This study sought to enhance technical standards for evaluating interfacial bonding properties by suggesting the use of the splitting tensile strength to evaluate the impact of bubble defects.Specimens were fabricated through on-site experiment.The percent of each area of 6 cm2or more bubble defect was 0 in most of specimens.When the cumulative area of all bub-ble defects reached 12%,the splitting tensile strength value was 0.67 MPa,which exceeded the minimum required value of 0.5 MPa for ensuring bonding interface adhesion.Furthermore,when the cumulative area of all bubble defects reached 8%,the splitting tensile strength value was 0.85 MPa,which exceeded the minimum required value of 0.8 MPa,thereby over-coming the negative impact of each area of 10 cm2 or more bubble defect.Additionally,keeping the cumulative area of each area of 6 cm2 or more bubble defect below 6%ensured adequate bonding strength and reduced the occurrence of specimens with lower splitting tensile strength values.
基金The National Natural Science Foundation of China(No.52478426)the Natural Science Foundation of Hunan Province(No.2024JJ5428).
摘要Based on the surrounding rock arching and hingeless arch structure theories,a theoretical formula for the minimum overburden thickness was derived.By substituting different mechanical parameters of multiple tunnels at home and abroad into this formula,minimum self-supporting arch formulas under different surrounding rock classes were obtained.Based on the actual engineering case of a dual-mode shield tunnel,a numerical model for the tunnel boring machine excavation mode was established to verify the theoretical formulas.Next,three surrounding rock classes,four soil layer thickness gradients,and twelve overburden thickness gradients were designed,resulting in 144 models formed by the combination of the three factors.Uniform tests were conducted,and the pressure arch heights under different surrounding rock classes were obtained.The results show that in the theoretical formulas,the tunnel radius has a linear positive correlation with the pressure arch height,while the tunnel depth has a linear positive correlation with the square of the pressure arch height.According to numerical simulation results,the pressure arch height increases with the increase of the overburden thickness and then tends toward a critical value of twice the tunnel diameter.Finally,the results of the numerical model are in good agreement with those calculated using the theoretical formulas,verifying the rationality of the established theoretical formulas.
基金support provided by the Hebei Province Full-Time Recruitment of National High-Level Innovative Talents Research Project(Grant No.2023HBQZYCSB004).
摘要The rise of deep learning has brought about transformative advancements in both scientific research and engineering applications.The 2024 Nobel Prizes,particularly in Physics and Chemistry,highlighted the revolutionary impact of deep learning,with AlphaFold’s breakthrough in protein structure prediction exemplifying its potential.This review explores the historical evolution of deep learning,from its foundational theories in neural networks and connectionism to its modern applications in various fields.Focus is given to its use in geotechnical engineering,particularly in geological disaster prediction,tunnel safety monitoring,and structural design optimization.The integration of deep learning models such as Convolutional Neural Networks(CNNs),Recurrent Neural Networks(RNNs),and Transformers has enabled significant progress in analyzing complex,unstructured data,offering innovative solutions to longstanding engineering challenges.The review also examines the opportunities and challenges faced by the field,advocating for interdisciplinary collaboration and open data sharing to further unlock deep learning’s potential in advancing both scientific and engineering disciplines.As deep learning continues to evolve,it promises to drive further innovation,shaping the future of engineering practices and scientific discovery.
基金supported by the National Natural Science Foundation of China(Grant Nos.12072374 and 12372086)the Natural Science Basic Research Plan in Shaanxi Province of China(Grant No.2023-JC-QN-0010)the Fundamental Research Funds for the Central Universities,CHD(Grant No.300102124203).
摘要Cross-sectional warping of box and tubular beam-columns is often neglected in previous studies and this treatment leads to sig-nificant errors for short beam-columns.This article develops a higher-order beam model for exactly analyzing the static and dynamic behaviors of boxubular beams and columns by taking into account the cross-sectional warping and the higher-order effect(HOE)of axial force.Appropriate warping shapes are constructed for the box and annular cross-section,respectively.Shear deformation and rotary inertia of the corss-section are considered simultaneously,but no shear correction factor is needed.The bending,buckling,wave,and vibration are analyzed.In particular,the HOE of the axial force on the static behaviors including the deflection and critical load,and the dynamic behaviors including the phase velocity and natural frequency are analyzed for hollow-core structures or boxubular beam-columns.The classical Euler buckling loads and natural frequencies are affected by the HOE of the axial force.The transverse waves are dispersive when the axial force is present.The presented model is also suit-able for axially loaded shear deformation beams with rectangular and circular cross-sections only if the hollow-core cross-section reduces to a rectangle and a circle,respectively.
基金Project(51378510)supported by the National Natural Science Foundation of China。
摘要Plant roots serve as a natural reinforcement method with the potential to significantly enhance slope stability.In engineering practice,roots can function synergistically with geosynthetics,reducing the reliance on artificial materials.Based on a three-dimensional(3D)rotational failure mechanism,this study proposes a novel framework to evaluate the influence of plant roots on the stability of geosynthetic-reinforced slopes.By integrating the hydrological effects of transpiration and the mechanical composite action of root-soil interaction,the reinforcing capacity of uniform root systems is comprehensively assessed.The required dimensionless reinforcement strength at the limit failure state is derived using the functional balance equation.The validity of the proposed method is confirmed through comparisons with existing two-dimensional(2D)solutions for vegetated slopes and 3D solutions for non-vegetated reinforced slopes.Furthermore,various parameter plots are provided to facilitate design analysis.The results indicate that accounting for 3D spatial effects and plant root reinforcement significantly reduces the required reinforcement strength,thereby lowering construction costs and enhancing overall slope safety.
基金Project(51378510)supported by the National Natural Science Foundation of China。
摘要The tunnel face stability is investigated in inclined layered soils under steady unsaturated seepage and seismic loading.The rigorous estimate of the maximum face pressure is provided during tunnel excavation.The modified pseudo dynamic method is applied to capture the spatial and temporal characteristics of seismic forces.A spatial distribution formula for suction stress under steady seepage conditions is derived for inclined layered soils.The study examines how inclined stratification influences the shape of failure mechanisms,the suction head profile,and variations in seismic acceleration.The spatial and temporal changes in suction stress and seismic loading are integrated into the energy equilibrium formulation based on a three-dimensional discretized failure model,and the critical face support pressure can be calculated via an integrated optimization strategy.The distributions of seismic acceleration ratios are obtained under various dynamic parameter conditions and the spatial variation of suction stress in the soil ahead of the tunnel face under different hydraulic hysteresis scenarios.The proposed analytical approach is compared with previous research,and the differences in results under different representations of seismic waves are also discussed.The research results can provide a valid framework to evaluate the influence of seismic excitation,steady-unsaturated infiltration,hydraulic hysteresis,and inclined stratification on tunnel face stability.