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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.The C-BPNN model design procedure for liquefaction assessment is established by considering appropriatethat 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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Liquefaction assessment using microtremor measurement, conventional method and artificial neural network

Sadegh REZAEI,Asskar Janalizadeh CHOOBBASTI

Frontiers of Structural and Civil Engineering 2014, Volume 8, Issue 3,   Pages 292-307 doi: 10.1007/s11709-014-0256-8

Abstract: Recent researchers have discovered microtremor applications for evaluating the liquefaction potentialIn the present research the liquefaction potential has been reviewed by utilization of microtremor measurementfundamental frequency and amplification factor, the value of vulnerability index ( ) was calculated and the liquefactionRegarding the results of these three methods, it was concluded that the threshold value of liquefactionanalysis performed in this research it is concluded that microtremors have the capability of assessing the liquefaction

Keywords： liquefaction     microtremor     vulnerability index     artificial neural networks (ANN)     microzonation    

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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: investigates the performance of four machine learning (ML) algorithms to evaluate the earthquake-induced liquefactionpotential of soil based on the cone penetration test field case history records using the Bayesian beliefliquefaction potential.researchers in selecting appropriate ML algorithms and improving the predictive performance of seismic soilliquefaction potential models.

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

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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: records of cone penetration tests using a Bayesian belief network (BBN) methodology to assess seismic soilliquefaction 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 groundrisk assessment modeling.

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

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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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A review of soil nematodes as biological indicators for the assessment of soil health

Qiaofang LU, Tongtong LIU, Nanqi WANG, Zhechao DOU, Kunguang WANG, Yuanmei ZUO

Frontiers of Agricultural Science and Engineering 2020, Volume 7, Issue 3,   Pages 275-281 doi: 10.15302/J-FASE-2020327

Abstract: assessment with increasing societal concern over environmentally friendly agricultural development.Soil health is the capacity of soil to function within ecological boundaries to sustain productivity,Soil nematode communities are useful biological indicators of soil health, with community characteristics, with changes in soil nematode communities reflecting soil disturbance.of these advantages soil nematodes are increasingly being used as biological indicators of soil health

Keywords： biological indicators     community characteristics     soil health     soil nematodes    

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Ecotoxicity assessment of soil irrigated with domestic wastewater using different extractions

Wenyan LIANG,Lili SUI,Yuan ZHAO,Feizhen LI,Lijun LIU,Di XIE

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 4,   Pages 685-693 doi: 10.1007/s11783-014-0752-z

Abstract: The toxicity of soil irrigated with treated domestic wastewater (site A) and untreated gray wastewaterSoil extracts were prepared using distilled water, acid solvent (0.1 mol·L HCl), and organic solventThe results indicated that the wastewater irrigation at site A had no effects on the soil properties.However, the irrigation at site A did not result in obvious acute toxicity or genotoxicity in the soilThe soil properties changed greatly, and HMs (Cu, Ni, and Cr) accumulated in site B.

Keywords： ecotoxicology     domestic wastewater     soil irrigation     risk assessment     organic extraction    

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Assessment of glass fiber-reinforced polyester pipe powder in soil improvement

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3,   Pages 742-753 doi: 10.1007/s11709-021-0732-x

Abstract: Then, using the optimum PP addition, the bearing capacity of the soil was estimated through a seriesThe bearing capacity of sandy soil was improved by up to 30.7%.The ratio of the depth of the PP-reinforced soil to the diameter of the foundation model (H/D) of 1.25 could sufficiently strengthen sandy soil when the optimum PP ratio was used.capacity can be attributed to the chopped fibers in the PP and their multiaxial distribution in the soil

Keywords： shallow foundation     sandy soil     bearing capacity     soil improvement     pipe powder    

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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: technique (MLT) to predict the seismic performance of low- to mid-rise frame structures considering soil-structureA new global seismic assessment ratio was introduced that considers both serviceability and strengthprovides recommendations for building component design based on the newly introduced global seismic assessmentand peak ground acceleration (PGA) was found to be the most influential input parameter in the assessment

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

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REGIONAL ASSESSMENT OF SOIL NITROGEN MINERALIZATION IN DIVERSE CROPLAND OF A REPRESENTATIVE INTENSIVE

Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 4,   Pages 530-540 doi: 10.15302/J-FASE-2023515

Abstract:

Soil nitrogen mineralization (Nmin) is a key process that converts organic N into mineralN that controls soil N availability to plants.However, regional assessments of soil Nmin in cropland and its affecting factors areThe rates of soil Nmin and Nit were positively correlated with several key soil parametersindicated that soil variables regulated soil Nmin and Nit in cropland fields.

Keywords： cropland     gross nitrification rate     regulatory factors     soil nitrogen mineralization     spatial variation    

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Experimental study of two saturated natural soils and their saturated remoulded soils under three consolidated undrained stress paths

Mingjing JIANG, Haijun HU, Jianbing PENG, Serge LEROUEIL

Frontiers of Structural and Civil Engineering 2011, Volume 5, Issue 2,   Pages 225-238 doi: 10.1007/s11709-011-0108-8

Abstract: In this paper, an experimental investigation is conducted to study the mechanical behavior of saturated natural loess, saturated natural filling in ground fissure and their corresponding saturated remoulded soils under three consolidated undrained triaxial stress tests, namely, conventional triaxial compression test (CTC), triaxial compression test (TC) and reduced triaxial compression test (RTC). The test results show that stress-strain relation, i.e. strain-softening or strain-hardening, is remarkably influenced by the structure, void ratio, stress path and confining pressure. Natural structure, high void ratio, TC stress path, RTC stress path and low confining pressures are favorable factors leading to strain-softening. Excess pore pressure during shearing is significantly affected by stress path. The tested soils are different from loose sand on character of strain-softening and are different from common clay on excess pore water pressure behavior. The critical states in ′– space in CTC, TC and RTC tests almost lie on one line, which indicates that the critical state is independent of the above stress paths. As for remoulded loess or remoulded filling, the critical state line (CSL) and isotropic consolidation line (ICL) in -log ′ space are almost straight, while for natural loess or natural filling, in -log ′ space there is a turning point on the CSL, which is similar to the ICL.

Keywords： stress paths     static liquefaction     natural soil     remoulded soil     loess     structure     total strength indices     excess    

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Liquefaction prediction using support vector machine model based on cone penetration data

Pijush SAMUI

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 1,   Pages 72-82 doi: 10.1007/s11709-013-0185-y

Abstract: A support vector machine (SVM) model has been developed for the prediction of liquefaction susceptibilityThis paper examines the potential of SVM model in prediction of liquefaction using actual field coneUsing cone resistance ( ) and cyclic stress ratio ( ), model has been developed for prediction of liquefactionthe model, requiring only two parameters ( and maximum horizontal acceleration ), for prediction of liquefactionThe study shows that SVM can be used as a practical tool for prediction of liquefaction potential, based

Keywords： earthquake     cone penetration test     liquefaction     support vector machine (SVM)     prediction    

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Probability distributions of arsenic in soil from brownfield sites in Beijing (China): statistical characterizationof the background populations and implications for site assessment studies

Marina ACCORNERO,Lin JIANG,Eugenio NAPOLI,Marco CREMONINI,Giovanni FERRO,Federica BELLORO,Maosheng ZHONG

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 3,   Pages 465-474 doi: 10.1007/s11783-014-0678-5

Abstract: A probabilistic analysis was performed on soil arsenic concentration data from 4 brownfield sites atBeijing (Chaoyang and Haidian Districts), involved in environmental assessment studies.and differentiate “anomalous data” from the natural range of variation of arsenic concentrations in soilscreening levels (SSLs) in site assessment studies.These ranges provide meaningful SSL values to be adopted for As in local site assessment studies.

Keywords： upper baseline concentration     site assessment     arsenic     probability plot    

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Nitrogen distribution in the products from the hydrothermal liquefaction of sp. and sp.

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 6,   Pages 985-995 doi: 10.1007/s11705-021-2126-y

Abstract: The high contents of nitrogen-containing organic compounds in biocrude obtained from hydrothermal liquefaction, a brief reaction map was proposed to describe the nitrogen pathway during microalgae hydrothermal liquefaction

Keywords： microalgae     hydrothermal liquefaction     biocrude     nitrogen distribution    

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Title Author Date Type Operation

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

Liquefaction assessment using microtremor measurement, conventional method and artificial neural network

Sadegh REZAEI,Asskar Janalizadeh CHOOBBASTI

Journal Article

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 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

Evaluation of liquefaction-induced lateral displacement using Bayesian belief networks

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

Journal Article

A review of soil nematodes as biological indicators for the assessment of soil health

Qiaofang LU, Tongtong LIU, Nanqi WANG, Zhechao DOU, Kunguang WANG, Yuanmei ZUO

Journal Article

Ecotoxicity assessment of soil irrigated with domestic wastewater using different extractions

Wenyan LIANG,Lili SUI,Yuan ZHAO,Feizhen LI,Lijun LIU,Di XIE

Journal Article

Assessment of glass fiber-reinforced polyester pipe powder in soil improvement

Journal Article

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

Journal Article

REGIONAL ASSESSMENT OF SOIL NITROGEN MINERALIZATION IN DIVERSE CROPLAND OF A REPRESENTATIVE INTENSIVE

Journal Article

Experimental study of two saturated natural soils and their saturated remoulded soils under three consolidated undrained stress paths

Mingjing JIANG, Haijun HU, Jianbing PENG, Serge LEROUEIL

Journal Article

Liquefaction prediction using support vector machine model based on cone penetration data

Pijush SAMUI

Journal Article

Probability distributions of arsenic in soil from brownfield sites in Beijing (China): statistical characterizationof the background populations and implications for site assessment studies

Marina ACCORNERO,Lin JIANG,Eugenio NAPOLI,Marco CREMONINI,Giovanni FERRO,Federica BELLORO,Maosheng ZHONG

Journal Article

Nitrogen distribution in the products from the hydrothermal liquefaction of sp. and sp.

Journal Article