Resource Type

Journal Article 1514

Conference Videos 21

Year

2023 109

2022 148

2021 113

2020 117

2019 74

2018 74

2017 75

2016 74

2015 85

2014 71

2013 61

2012 65

2011 56

2010 67

2009 57

2008 51

2007 49

2006 34

2005 33

2004 23

open ︾

Keywords

numerical simulation 17

model 15

model test 15

mathematical model 14

finite element method 13

sensitivity analysis 12

Risk assessment 10

assessment 10

kinetic model 10

risk assessment 10

COVID-19 9

China 8

Deep learning 8

Soil 8

life cycle assessment 8

neural network 7

uncertainty 6

artificial neural network 5

bearing capacity 5

open ︾

Search scope:

排序: Display mode:

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 forThe C-BPNN model design procedure for liquefaction assessment is established by considering appropriate, and are thus adopted as constraints for the C-BPNN model.method is validated using the liquefaction data set and compared with that of several liquefaction assessment

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

SOIL CARBON CHECK: A TOOL FOR MONITORING AND GUIDING SOIL CARBON SEQUESTRATION IN FARMER FIELDS

Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 2,   Pages 248-261 doi: 10.15302/J-FASE-2023499

Abstract:

● Establishment of a rapid tool for monitoring soil carbon sequestration

Keywords: 4 per 1000 initiative     carbon sequestration     climate action     farmer fields     SDG13     soil organic carbon     soil testing    

A Comparison of SWAT Model Calibration Techniquesfor Hydrological Modeling in the Ganga River Watershed

Nikita Shivhare, Prabhat Kumar Singh Dikshit, Shyam Bihari

Engineering 2018, Volume 4, Issue 5,   Pages 643-652 doi: 10.1016/j.eng.2018.08.012

Abstract: In this study, hydrological modeling was applied to Soil and Water Assessment Tool (SWAT) modeling instudy are: To test the execution and applicability of the SWAT modelThe input data used in the SWAT were the Shuttle Radar Topography Mission (SRTM) digital elevation modelThe calibrated model can be utilized in future to facilitate investigation of the impacts of LULC, climatechange, and soil erosion.

Keywords: Remote sensing     Geographic information system     Soil and Water Assessment Tool     Hydrological modeling     SUFI    

Runoff Modeling in Ungauged Catchments Using Machine Learning Algorithm-Based Model Parameters Regionalization Article

Houfa Wu,Jianyun Zhang,Zhenxin Bao,Guoqing Wang,Wensheng Wang,Yanqing Yang,Jie Wang

Engineering 2023, Volume 28, Issue 9,   Pages 93-104 doi: 10.1016/j.eng.2021.12.014

Abstract:

Model parameters estimation is a pivotal issue for runoff modeling inThe nonlinear relationship between model parameters and catchment descriptors is a major obstacle fordetermination (R2), and percent bias (PBIAS) indicated the acceptable performance of the soiland water assessment tool (SWAT) model in the YHHRB.Nine descriptors belonging to the categories of climate, soil, vegetation, and topography were used to

Keywords: Parameters estimation     Ungauged catchments     Regionalization scheme     Machine learning algorithms     Soil andwater assessment tool model    

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    

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    

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 seriesof loading tests on a shallow foundation model placed in a test box.The 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.

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

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    

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    

Fictitious soil pile model for dynamic analysis of pipe piles under high-strain conditions

Frontiers of Structural and Civil Engineering   Pages 915-934 doi: 10.1007/s11709-023-0907-8

Abstract: A fictitious soil pile (FSP) model is developed to simulate the behavior of pipe piles with soil plugsThe developed model simulates the base soil with a fictitious hollow pile fully filled with a soil plugand soil plug is considered.The motions of the pile−soil system are solved by discretizing them into spring-mass model based on thepipe pile toe, and some guidance is provided for the selection of the model parameters.

Keywords: fictitious soil pile     soil plug     pipe piles     high-strain dynamic analysis     one-dimensional wave theory    

Design and Fabrication of Multiphase Composite Ceramic Tool Materials

Xu Chonghai,Ai Xing

Strategic Study of CAE 2001, Volume 3, Issue 3,   Pages 71-74

Abstract: between the mechanical properties and the material compositions of the multiphase composite ceramic toolThen, an advanced Al23—SiC-(W,Ti)C multiphase composite ceramic cutting toolproposed in the present study is reasonable and feasible for the design of multiphase composite ceramic tool

Keywords: ceramic tool material     multiphase composite     material design     model     mechanical property    

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 resistanceIndeed, in the untreated layers, the factor of safety drops below 1 which means that the soil is susceptible

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

Development of an integrated policy making tool for assessing air quality and human health benefits of

Xuezhen QIU,Yun ZHU,Carey JANG,Che-Jen LIN,Shuxiao WANG,Joshua FU,Junping XIE,Jiandong WANG,Dian DING,Shicheng LONG

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 6,   Pages 1056-1065 doi: 10.1007/s11783-015-0796-8

Abstract: control strategies, the US Environmental Protection Agency (US EPA) has developed the Software for Modeltimely and coherent information, developing the linkage between SMAT-CE and BenMAP-CE into an integrated assessmentThe new module streamlines the assessment of air quality and human health benefits for a proposed air

Keywords: air quality assessment     human health benefit     economic benefit     air quality attainment assessment     air pollution    

Rapid evaluation technology for CNC machine tool slide level based on built-in sensors

Yuqing ZHOU, Xuesong MEI, Gedong JIANG, Nuogang SUN,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 1,   Pages 79-86 doi: 10.1007/s11465-009-0070-5

Abstract: Slide level impacts the CNC machine tool performance.level will result in the torsional vibration of a feed-axis control system and lower the CNC machine toolIt is necessary to investigate the rapid evaluation technology for the slide level of a CNC machine toolIn this paper, a new type of rapid evaluation method for machine tool slide level is proposed, whichlevel information, the built-in sensors test principle is profoundly investigated, and the mathematical model

Keywords: slide level     built-in sensors     Stribeck effect     model identification    

An assessment of surrogate fuel using Bayesian multiple kernel learning model in sight of sooting tendency

Frontiers in Energy 2022, Volume 16, Issue 2,   Pages 277-291 doi: 10.1007/s11708-021-0731-6

Abstract: Based on the database, a novel predicting model of YSI values for surrogate fuels was proposed with theapplication of a machine learning method, named the Bayesian multiple kernel learning (BMKL) model.A high correlation coefficient (0.986) between measured YSIs and predicted values with the BMKL modelwas obtained, indicating that the BMKL model had a reliable and accurate predictive capacity for YSIThe BMKL model provides an accurate and low-cost approach to assess surrogate performances of diesel,

Keywords: sooting tendency     yield sooting index     Bayesian multiple kernel learning     surrogate assessment     surrogate    

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

SOIL CARBON CHECK: A TOOL FOR MONITORING AND GUIDING SOIL CARBON SEQUESTRATION IN FARMER FIELDS

Journal Article

A Comparison of SWAT Model Calibration Techniquesfor Hydrological Modeling in the Ganga River Watershed

Nikita Shivhare, Prabhat Kumar Singh Dikshit, Shyam Bihari

Journal Article

Runoff Modeling in Ungauged Catchments Using Machine Learning Algorithm-Based Model Parameters Regionalization

Houfa Wu,Jianyun Zhang,Zhenxin Bao,Guoqing Wang,Wensheng Wang,Yanqing Yang,Jie Wang

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

Fictitious soil pile model for dynamic analysis of pipe piles under high-strain conditions

Journal Article

Design and Fabrication of Multiphase Composite Ceramic Tool Materials

Xu Chonghai,Ai Xing

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

Development of an integrated policy making tool for assessing air quality and human health benefits of

Xuezhen QIU,Yun ZHU,Carey JANG,Che-Jen LIN,Shuxiao WANG,Joshua FU,Junping XIE,Jiandong WANG,Dian DING,Shicheng LONG

Journal Article

Rapid evaluation technology for CNC machine tool slide level based on built-in sensors

Yuqing ZHOU, Xuesong MEI, Gedong JIANG, Nuogang SUN,

Journal Article

An assessment of surrogate fuel using Bayesian multiple kernel learning model in sight of sooting tendency

Journal Article