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Application of machine learning algorithms for the evaluation of seismic soil liquefaction potential

Mahmood AHMAD, Xiao-Wei TANG, Jiang-Nan QIU, Feezan AHMAD, Wen-Jing GU

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 490-505 doi: 10.1007/s11709-020-0669-5

Abstract: potential of soil based on the cone penetration test field case history records using the Bayesian beliefmost sensitive factors, whereas the mean grain size is the least sensitive factor in the prediction of seismicsoil liquefaction potential.for researchers in selecting appropriate ML algorithms and improving the predictive performance of seismicsoil liquefaction potential models.

Keywords： seismic soil liquefaction     Bayesian belief network     cone penetration test     parameter learning     structural    

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A constrained neural network model for soil liquefaction assessment with global applicability

Yifan ZHANG, Rui WANG, Jian-Min ZHANG, Jianhong ZHANG

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 5,   Pages 1066-1082 doi: 10.1007/s11709-020-0651-2

Abstract: A constrained back propagation neural network (C-BPNN) model for standard penetration test based soilliquefaction assessment with global applicability is developed, incorporating existing knowledge forliquefaction triggering mechanism and empirical relationships.For its development and validation, a comprehensive liquefaction data set is compiled, covering morethat of several liquefaction assessment methods currently adopted in engineering practice.

Keywords： soil liquefaction assessment     case history dataset     constrained neural network model     existing knowledge    

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In situ-based assessment of soil liquefaction potential–Case study of an earth dam in Tunisia

Ikram GUETTAYA,Mohamed Ridha EL OUNI

Frontiers of Structural and Civil Engineering 2014, Volume 8, Issue 4,   Pages 456-461 doi: 10.1007/s11709-014-0259-5

Abstract: The assessment of soil liquefaction was made using deterministic and probabilistic simplified proceduresThe obtained results show that after vibrocompaction, a significant improvement of the soil resistancereduces the liquefaction potential of the sandy foundation.Indeed, in the untreated layers, the factor of safety drops below 1 which means that the soil is susceptiblefor liquefaction.

Keywords： liquefaction     cone penetration test (CPT)     standard penetration test (SPT)     vibrcompaction     sand    

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A step forward towards a comprehensive framework for assessing liquefaction land damage vulnerability

Mahmood AHMAD, Xiao-Wei TANG, Jiang-Nan QIU, Feezan AHMAD, Wen-Jing GU

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1476-1491 doi: 10.1007/s11709-020-0670-z

Abstract: soil liquefaction and liquefaction land damage potentials in one model.The BBN-based LLDV model is developed by integrating multi-related factors of seismic soil liquefactionThe proposed model not only predicts quantitatively the seismic soil liquefaction potential and its groundThis study also interprets the BBN model sensitivity analysis and most probable explanation of seismicsoil liquefied sites based on an engineering point of view.

Keywords： Bayesian belief network     liquefaction-induced damage potential     cone penetration test     soil liquefaction    

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Predicting lateral displacement caused by seismic liquefaction and performing parametric sensitivity

Nima PIRHADI, Xiaowei TANG, Qing YANG, Afshin ASADI, Hazem Samih MOHAMED

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 506-519 doi: 10.1007/s11709-021-0677-0

Abstract: Lateral displacement due to liquefaction ( ) is the most destructive effect of earthquakes in saturatedloose or semi-loose sandy soil.cumulative absolute velocity ( ) exhibits the largest correlation with increasing pore water pressure and liquefaction

Keywords： lateral spreading displacement     cumulative absolute velocity     fine content     artificial neural network     sensitivity analysis     Monte Carlo simulation    

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Evaluation of liquefaction-induced lateral displacement using Bayesian belief networks

Mahmood AHMAD, Xiao-Wei TANG, Jiang-Nan QIU, Feezan AHMAD

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 1,   Pages 80-98 doi: 10.1007/s11709-021-0682-3

Abstract: Liquefaction-induced lateral displacement is responsible for considerable damage to engineered structuresTherefore, an accurate estimation of lateral displacement in liquefaction-prone regions is an essentialThis paper presents a novel probabilistic framework for evaluating liquefaction-induced lateral displacement

Keywords： Bayesian belief network     seismically induced soil liquefaction     interpretive structural modeling     lateral    

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Seismic effects on reinforcement load and lateral deformation of geosynthetic-reinforced soil walls

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 4,   Pages 1001-1015 doi: 10.1007/s11709-021-0734-8

Abstract: Current design methods for the internal stability of geosynthetic-reinforced soil (GRS) walls postulateseismic forces as inertial forces, leading to pseudo-static analyses based on active earth pressuretheory, which yields unconservative reinforcement loads required for seismic stability.Most seismic analyses are limited to the determination of maximum reinforcement strength.Using the top-down procedure involves all of the possible failure surfaces for the seismic analyses of

Keywords： geosynthetics     reinforced soil     retaining walls     seismic performance    

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Machine learning-based seismic assessment of framed structures with soil-structure interaction

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 2,   Pages 205-223 doi: 10.1007/s11709-022-0909-y

Abstract: propose an expert system framework based on a supervised machine learning technique (MLT) to predict the seismicperformance of low- to mid-rise frame structures considering soil-structure interaction (SSI).Multiple limit state criteria were used for the seismic evaluation within the process.A new global seismic assessment ratio was introduced that considers both serviceability and strengthassessment ratio, which considers different levels of seismic hazards.

Keywords： seismic hazard     artificial neural network     soil-structure interaction     seismic analysis    

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Seismic responses of subway station with different distributions of soft soil in Tianjin

Dejian YANG,Meiling DUAN

Frontiers of Structural and Civil Engineering 2014, Volume 8, Issue 2,   Pages 187-193 doi: 10.1007/s11709-014-0252-z

Abstract: established a two-dimensional finite element model with visco-elastic boundary by using ANSYS and analyzed seismicresponses of subway station with different distribution of soft soil.obtain the response rules about displacement and internal force on subway station in the general field soiland five different distributions of soft soil.Provide reference for improving the seismic performance of subway stations in Tianjin soft soil.

Keywords： distribution of soft soil     soft soil in Tianjin     seismic response     ANSYS    

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Model test of stone columns as liquefaction countermeasure in sandy soils

Mengfei QU,Qiang XIE,Xinwen CAO,Wen ZHAO,Jianjun HE,Jiang JIN

Frontiers of Structural and Civil Engineering 2016, Volume 10, Issue 4,   Pages 481-487 doi: 10.1007/s11709-016-0355-9

Abstract: The designed stone column composite foundation meets the requirements for seismic resistance.

Keywords： stone column composite foundation     seismic liquefaction     shaking table test    

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Analyses of the seismic responses of soil layers with deep deposits

LOU Menglin, LI Yuchun, LI Nansheng

Frontiers of Structural and Civil Engineering 2007, Volume 1, Issue 2,   Pages 188-193 doi: 10.1007/s11709-007-0021-3

Abstract: Several typical problems in the seismic response analysis of soil layers with deep deposits have beenstudied according to the seismic response analysis of the soil layer in the Shanghai region.The problems include the effect of the inclination of the bedrock under the soil layer on the seismicon the seismic responses of the soil layer.The elasticity of the solid rock has little influence on the seismic response of the deep soil layer.

Keywords： little influence     layer     calculation     Shanghai     dynamic    

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Influence of site conditions on seismic design parameters for foundations as determined via nonlinear

Muhammad Tariq A. CHAUDHARY

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 1,   Pages 275-303 doi: 10.1007/s11709-021-0685-0

Abstract: the design of foundations include mass density ( ), damping ratio ( ), shear wave velocity ( ), and soilIn this study, the effect of variations in soil properties, such as plasticity index ( ), effective stressratio (OCR), impedance contrast ratio ( ) between the bedrock and the overlying strata, and depth of soilIt was also found that variations in soil properties influenced seismic design parameters in soil typeD more significantly than in soil type C.

Keywords： site effects     1D seismic site response analysis     sensitivity analysis     foundations     shear wave velocity     soil    

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Numerical study on the seismic response of the underground subway station- surrounding soil mass-ground

Guobo WANG, Mingzhi YUAN, Xianfeng MA, Jun WU

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 4,   Pages 424-435 doi: 10.1007/s11709-016-0381-7

Abstract: In this paper, the seismic response of the Underground subway station-Surrounding soil mass-Ground adjacentbuildings (USG) system subjected to various seismic loading is studied through numerical analysis.is established in terms of the calculation domain, boundary condition, and contact property between soilstation and ground adjacent building, and their effects on the dynamic characteristics of surrounding soilis found that the impact of underground structure on the dynamic characteristics of the surrounding soil

Keywords： underground subway station     ground adjacent building     seismic response    

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Undrained seismic bearing capacity of strip footing adjacent to a heterogeneous excavation

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 4,   Pages 566-583 doi: 10.1007/s11709-023-0905-x

Abstract: In this study, the effects of the geometrical features of the excavation and the soil strength propertieson the seismic bearing capacity of a strip footing resting on an excavation were evaluated using theeffects of the setback distance ratio (L/B), excavation height ratio (H/B), soilDesign charts and tables were produced to clarify the relationship between the undrained seismic bearing

Keywords： excavation     finite element limit analysis     heterogeneous soil     strip footing     undrained bearing capacity    

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New pseudo-dynamic analysis of two-layered cohesive-friction soil slope and its numerical validation

Suman HAZARI, Sima GHOSH, Richi Prasad SHARMA

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1492-1508 doi: 10.1007/s11709-020-0679-3

Abstract: of homogeneous soil.The zero-stress boundary condition at the ground surface under the seismic loading condition is satisfiedNew formulations derived from an analytical method are proposed for the predicting the seismic responsein two-layered soil.A detailed parametric study was performed in which various parameters (seismic accelerations, damping

Keywords： layered soil     limit equilibrium method     seismic analysis     damping     PLAXIS    

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Title Author Date Type Operation

Application of machine learning algorithms for the evaluation of seismic soil liquefaction potential

Mahmood AHMAD, Xiao-Wei TANG, Jiang-Nan QIU, Feezan AHMAD, Wen-Jing GU

Journal Article

A constrained neural network model for soil liquefaction assessment with global applicability

Yifan ZHANG, Rui WANG, Jian-Min ZHANG, Jianhong ZHANG

Journal Article

In situ-based assessment of soil liquefaction potential–Case study of an earth dam in Tunisia

Ikram GUETTAYA,Mohamed Ridha EL OUNI

Journal Article

A step forward towards a comprehensive framework for assessing liquefaction land damage vulnerability

Mahmood AHMAD, Xiao-Wei TANG, Jiang-Nan QIU, Feezan AHMAD, Wen-Jing GU

Journal Article

Predicting lateral displacement caused by seismic liquefaction and performing parametric sensitivity

Nima PIRHADI, Xiaowei TANG, Qing YANG, Afshin ASADI, Hazem Samih MOHAMED

Journal Article

Evaluation of liquefaction-induced lateral displacement using Bayesian belief networks

Mahmood AHMAD, Xiao-Wei TANG, Jiang-Nan QIU, Feezan AHMAD

Journal Article

Seismic effects on reinforcement load and lateral deformation of geosynthetic-reinforced soil walls

Journal Article

Machine learning-based seismic assessment of framed structures with soil-structure interaction

Journal Article

Seismic responses of subway station with different distributions of soft soil in Tianjin

Dejian YANG,Meiling DUAN

Journal Article

Model test of stone columns as liquefaction countermeasure in sandy soils

Mengfei QU,Qiang XIE,Xinwen CAO,Wen ZHAO,Jianjun HE,Jiang JIN

Journal Article

Analyses of the seismic responses of soil layers with deep deposits

LOU Menglin, LI Yuchun, LI Nansheng

Journal Article

Influence of site conditions on seismic design parameters for foundations as determined via nonlinear

Muhammad Tariq A. CHAUDHARY

Journal Article

Numerical study on the seismic response of the underground subway station- surrounding soil mass-ground

Guobo WANG, Mingzhi YUAN, Xianfeng MA, Jun WU

Journal Article

Undrained seismic bearing capacity of strip footing adjacent to a heterogeneous excavation

Journal Article

New pseudo-dynamic analysis of two-layered cohesive-friction soil slope and its numerical validation

Suman HAZARI, Sima GHOSH, Richi Prasad SHARMA

Journal Article