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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: The unprecedented liquefaction-related land damage during earthquakes has highlighted the need to developa model that better interprets the liquefaction land damage vulnerability (LLDV) when determining whetherliquefaction is likely to cause damage at the ground’s surface.and liquefaction land damage potentials in one model.The BBN-based LLDV model is developed by integrating multi-related factors of seismic soil liquefaction

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

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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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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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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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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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Ball milling promoted direct liquefaction of lignocellulosic biomass in supercritical ethanol

Chunyan Yang, Xiaoliang Yuan, Xueting Wang, Kejing Wu, Yingying Liu, Changjun Liu, Houfang Lu, Bin Liang

Frontiers of Chemical Science and Engineering 2020, Volume 14, Issue 4,   Pages 605-613 doi: 10.1007/s11705-019-1841-0

Abstract: In the present work, ball milling was applied for the pretreatment of lignocellulose to obtain high conversion and bio-oil yield in supercritical ethanol. Ball milling substantially decreased the crystallinity and particle size of lignocellulose, thereby improving its accessibility in ethanol solvent. An increased bio-oil yield of 59.2% was obtained for the ball milled camphorwood sawdust at 300°C, compared with 39.6% for the original lignocellulose. Decreased crystallinity significantly benefited the conversion of the cellulose component from 60.8% to 91.7%, and decreased particle size was beneficial for the conversion of all components. The obtained bio-oil had a high phenolic content, as analyzed by gas chromatography-mass spectrometry. Methoxylation and retro-aldol condensation were observed during alcoholysis, and the reaction pathways of lignocellulose in supercritical ethanol were attributed to the action of free radicals.

Keywords： ball milling     lignocellulose     supercritical ethanol     liquefaction     bio-oil    

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Regulation of radicals by hydrogen-donor solvent in direct coal liquefaction

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 12,   Pages 1689-1699 doi: 10.1007/s11705-022-2186-7

Abstract: Radicals are important intermediates in direct coal liquefaction.

Keywords： direct coal liquefaction     hydrogen-donor solvent     induced pyrolysis     radical mechanism     density functional    

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Review on the design and optimization of hydrogen liquefaction processes

Liang YIN, Yonglin JU

Frontiers in Energy 2020, Volume 14, Issue 3,   Pages 530-544 doi: 10.1007/s11708-019-0657-4

Abstract: However, hydrogen liquefaction is one of the most energy-intensive industrial processes.In this paper, the detailed progress of design and optimization for hydrogen liquefaction in recent yearsThen, based on the refrigeration cycles, the hydrogen liquefaction processes are divided into two parts, namely precooled liquefaction process and cascade liquefaction process.Among the existing technologies, the SEC of most hydrogen liquefaction processes is limited in the range

Keywords： hydrogen liquefaction     energy consumption     efficiency     optimization    

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Power-to-chemicals: sustainable liquefaction of food waste with plasma-electrolysis

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 5,   Pages 594-605 doi: 10.1007/s11705-022-2255-y

Abstract: , we report a new and sustainable plasma electrolysis biorefinery route for the rapid and efficient liquefactionK elements was greater than 81%, which is significantly higher than using the traditional oil bath liquefaction

Keywords： plasma electrolysis     food waste     liquefaction     resource recovery    

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A simple method for evaluating liquefaction potential from shear wave velocity

Lianyang ZHANG,

Frontiers of Structural and Civil Engineering 2010, Volume 4, Issue 2,   Pages 178-195 doi: 10.1007/s11709-010-0023-4

Abstract: simplified procedure using shear wave velocity measurements is increasingly used to evaluate the seismic liquefactionThis procedure is based on finding the boundary separating the liquefaction and non-liquefaction casesthrough the analysis of liquefaction case histories, following the general format of the Seed-IdrissThis paper develops a simple method for evaluating the liquefaction potential of soils from shear wavevelocity by using the optimum seeking method to directly analyze the liquefaction history data and quantify

Keywords： liquefaction     earthquake     simple method     shear wave velocity     case history introduction    

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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 present paper examines the evaluation of liquefaction potential of an earth dam foundation in TunisiaThe assessment of soil liquefaction was made using deterministic and probabilistic simplified proceduresresults show that after vibrocompaction, a significant improvement of the soil resistance reduces the liquefactionuntreated layers, the factor of safety drops below 1 which means that the soil is susceptible for liquefactionHowever, in the compacted horizons, the values of exceed the unit which justifies the absence of liquefaction

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

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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 shaking table model test was conducted to investigate earthquake resistant behavior of stone columns under the intensity of an earthquake resistance of buildings is VIII. The test results show that when acceleration is less than 0.20 g, composite foundation is not liquefied, settlement is also small and pile dislocation is not observed; when acceleration is 0.3g, ground outside embankment’s slope toe is liquefied and ground within stone column composite foundation is not. It is suggesting that reinforcement scale of stone column foundation should be widened properly. 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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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: constrained back propagation neural network (C-BPNN) model for standard penetration test based soil liquefactionassessment with global applicability is developed, incorporating existing knowledge for liquefactionFor its development and validation, a comprehensive liquefaction data set is compiled, covering moreThe 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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Liquefaction and impurity separation of oxygen-bearing coal-bed methane

Qiuying LI, Yonglin JU, Li WANG,

Frontiers in Energy 2010, Volume 4, Issue 3,   Pages 319-325 doi: 10.1007/s11708-010-0115-9

Abstract: In this paper, a liquefaction process is proposed and designed for the specified oxygen-bearing CBM obtainedis adopted to simulate the process, and the results reveal that the energy consumption of the whole liquefactionThe applicability and safety of the liquefaction process are also analyzed.

Keywords： coal bed methane     oxygen-bearing     liquefaction     distillation    

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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 liquefactionfactors, whereas the mean grain size is the least sensitive factor in the prediction of seismic soil liquefactionresearchers in selecting appropriate ML algorithms and improving the predictive performance of seismic soil liquefaction

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

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Title Author Date Type Operation

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

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

Sadegh REZAEI,Asskar Janalizadeh CHOOBBASTI

Journal Article

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

Pijush SAMUI

Journal Article

Evaluation of liquefaction-induced lateral displacement using Bayesian belief networks

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

Journal Article

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

Journal Article

Ball milling promoted direct liquefaction of lignocellulosic biomass in supercritical ethanol

Chunyan Yang, Xiaoliang Yuan, Xueting Wang, Kejing Wu, Yingying Liu, Changjun Liu, Houfang Lu, Bin Liang

Journal Article

Regulation of radicals by hydrogen-donor solvent in direct coal liquefaction

Journal Article

Review on the design and optimization of hydrogen liquefaction processes

Liang YIN, Yonglin JU

Journal Article

Power-to-chemicals: sustainable liquefaction of food waste with plasma-electrolysis

Journal Article

A simple method for evaluating liquefaction potential from shear wave velocity

Lianyang 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

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

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

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

Journal Article

Liquefaction and impurity separation of oxygen-bearing coal-bed methane

Qiuying LI, Yonglin JU, Li WANG,

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