Resource Type

Journal Article 1214

Conference Videos 10

Year

2023 88

2022 112

2021 82

2020 81

2019 63

2018 61

2017 58

2016 58

2015 68

2014 60

2013 50

2012 48

2011 42

2010 56

2009 47

2008 42

2007 41

2006 30

2005 31

2004 21

open ︾

Keywords

numerical simulation 16

model 15

model test 15

mathematical model 14

risk assessment 14

Risk assessment 10

assessment 10

kinetic model 10

life cycle assessment 10

COVID-19 9

sensitivity analysis 9

Deep learning 8

uncertainty 8

China 6

finite element method 6

optimization 6

safety assessment 6

constitutive model 5

Machine learning 4

open ︾

Search scope:

排序： Display mode:

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    

HTML PDF Collect

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    

HTML PDF Collect

Shear-flexural strength mechanical model for the design and assessment of reinforced concrete beams subjected

Antonio MARÍ,Antoni CLADERA,Jesús BAIRÁN,Eva OLLER,Carlos RIBAS

Frontiers of Structural and Civil Engineering 2014, Volume 8, Issue 4,   Pages 337-353 doi: 10.1007/s11709-014-0081-0

Abstract: A mechanical model recently developed for the shear strength of slender reinforced concrete beams withand extended to elements with uniformly distributed loads, specially focusing on practical design and assessmentThe predictions of the model have been compared to those obtained by using the EC2, MC2010 and ACI 318

Keywords： shear strength     mechanical model     reinforced concrete     design     assessment     shear tests    

HTML PDF Collect

Decentralised energy and its performance assessment models

Ting WU, Dong-Ling XU, Jian-Bo YANG

Frontiers of Engineering Management 2021, Volume 8, Issue 2,   Pages 183-198 doi: 10.1007/s42524-020-0148-7

Abstract: A hierarchical decision model for evaluating the performance of DE systems is also constructed basedframework of multiple criteria decision analysis, which considers the identification, definition and assessmentThe evidential reasoning approach is applied to aggregate assessment information in a case study of theSensitivity and trade-off analyses are also conducted to show how the proposed model can be used to support

Keywords： decentralised energy     assessment model     MCDA     evidential reasoning     sensitivity analysis    

HTML PDF Collect

Kinetic energy based model assessment and sensitivity analysis of vortex induced vibration of segmental

Nazim Abdul NARIMAN

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 4,   Pages 480-501 doi: 10.1007/s11709-017-0435-5

Abstract: In this paper, semi 3D models for segmental Bridge decks are created in ABAQUS CFD program with the support of MATLAB codes to simulate and analyze vortex shedding generated due to wind excitation through considering the stationary position of the deck. Three parameters (wind speed, deck streamlined length and dynamic viscosity of the air) are dedicated to study their effects on the kinetic energy of the system in addition to the shapes and patterns of the vortices. Two benchmarks from the literature Von Karman and Dyrbye and Hansen are considered to validate the vortex shedding aspects for the CFD models. Good agreement between the results of the benchmarks and the semi 3D models has been detected. Latin hypercube experimental method is dedicated to generate the surrogate models for the kinetic energy of the system and the lift forces. Variance based sensitivity analysis is utilized to calculate the main sensitivity indices and the interaction orders for all the three parameters. The kinetic energy approach performed very well in revealing the rational effects and the roles of each parameter in the generation of vortex shedding and predicting vortex induced vibration of the deck.

Keywords： vortex induced vibration     reynolds number     kinetic energy     vorticity     latin hypercube sampling    

HTML PDF Collect

PROPOSED INNOVATION REFORM MODEL FOR THE MINERAL NITROGEN FERTILIZER INDUSTRY IN CHINA TO REDUCE GREENHOUSE

Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 2,   Pages 234-247 doi: 10.15302/J-FASE-2022468

Abstract:

● The carbon footprint of the nitrogen fertilizer chain has decreased significantly over the last decade.

Keywords： carbon accounting     life cycle assessment     policy     product structure    

HTML PDF Collect

An assessment of China-Japan-Korea Free Trade Agreement’s economic and environmental impacts on China

Zhaoyang LIU, Xianqiang MAO, Wei TANG, Tao HU, Peng SONG

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 6,   Pages 849-859 doi: 10.1007/s11783-012-0432-9

Abstract: Following the Chain Reaction Assessment Method that integrates and links the elements of trade, productionEstimating the variations is based on a static Computable General Equilibrium model, working with Global

Keywords： Free Trade Agreement     Strategic Environmental Assessment     Chain Reaction Assessment Method     Computable GeneralEquilibrium model     Global Trade Analysis Project    

HTML PDF Collect

Proposal of a probabilistic assessment of structural collapse concomitantly subject to earthquake and

Gholamreza ABDOLLAHZADEH, Hadi FAGHIHMALEKI

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 3,   Pages 425-437 doi: 10.1007/s11709-017-0427-5

Abstract:

In recent decades, many public buildings, located in seismic-prone residential areas, had to grapple with abnormal loads against which the structures were unguarded. In this piece of research, an ordinary three dimensional reinforced concrete building is selected as case study. The building is located in an earthquake-prone region; however, it is designed according to seismic building codes. Yet, it is not shielded against abnormal loads, such as blasts. It is assumed that the building suffers a blast load, due to mechanical/thermal installation failure during or after intense seismic oscillations. These two critical incidents are regarded codependent and compatible. So the researchers developed scenarios and tried to assess different probabilities for each scenario and carried out an analysis to ensure if progressive collapse had set in or not. In the first step, two analysis models were used for each scenario; a non-linear dynamic time history analysis and a blast local dynamic analysis. In the second step, having the structural destructions of the first step in view, a pushdown analysis was carried out to determine the severity of progressive collapse and assess building robustness. Finally, the annual probability of structural collapse under simultaneous earthquake and blast loads was estimated and offered.

Keywords： gas blast     pushdown analysis     progressive collapse     annual probability of structural collapse     3D model of    

HTML PDF Collect

Theory Model and a Method for Qualitative Assessment of Sustainable Development of Regional Water Resources

Chen Shouyu

Strategic Study of CAE 2001, Volume 3, Issue 2,   Pages 33-38

Abstract: development and bearing capacity of regional water resources, this paper presents a fuzzy pattern recognition modeland a method for qualitative assessment of sustainable development of regional water resources, whichThe case study proves that the model and method are reliable and that results are reasonable and practicableThey can also be applied to the assessment of the sustainable development of social economies.

Keywords： water resources     sustainable development     assessment     pattern recognition     fuzzy    

HTML PDF Collect

Research of mine farmland heavy metal pollution assessment basedon synthetic principal component analysismodel

Wang Conglu,Wu Chao,Duan Yu

Strategic Study of CAE 2008, Volume 10, Issue 7,   Pages 180-183

Abstract: pollutants of mine area farmland heavy metal pollution were identified by variable clustering analysis.AssessmentIdentification and assessment results of mine area farmland heavy metal pollution can provide reference

Keywords： synthetic principal components analysis model     mine region soils     heavy metal pollution     assessment    

HTML PDF Collect

Effective optimization and uncertainty assessment of Xin’ anjiang model parameters

Wang Wenchuan,Cheng Chuntian,Qiu Lin,Yang Binbin

Strategic Study of CAE 2010, Volume 12, Issue 3,   Pages 100-107

Abstract:

While Xin'anjiang model is applied to simulate hydrograph, the "best"  parameter set calibrated may be not unique and uncertain because of model limitationusing SCEM-UA algorithm based Markov Chain Monte Carlo (MCMC) methods for optimization and uncertainty assessmentcalibration and validation indicate that it is feasible and effective for optimization and uncertainty assessmentof Xin'anjiang model parameters.

Keywords： Xin'anjiang model     calibration parameter     uncertainty assessment     SCEM-UA    

HTML PDF Collect

Review of human–robot coordination control for rehabilitation based on motor function evaluation

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0684-4

Abstract: demand for robotic rehabilitation, modelling for human–robot coupling systems with new structures and assessment

Keywords： human–robot coupling     lower limb rehabilitation     exoskeleton robot     motor assessment     dynamical model    

HTML PDF Collect

Assessment and validation of liquid breakup models for high-pressure dense diesel sprays

Yi REN,Xianguo LI

Frontiers in Energy 2016, Volume 10, Issue 2,   Pages 164-175 doi: 10.1007/s11708-016-0407-9

Abstract: experimental observations, along with the influence of the liquid breakup models and the sensitivity of modelIt is found that the modified Kelvin-Helmholtz (KH)–Rayleigh-Taylor (RT) breakup model gives the mostFor the standard KH-RT model, the model constant for the breakup length has a significant effect onthe predictability of the model, and a fixed value of the constant cannot provide a satisfactory resultThe Taylor-analogy-breakup (TAB) based models and the RT model do not provide reasonable predictions

Keywords： breakup model     diesel engine     high-pressure injection     simulations    

HTML PDF Collect

Assessment of novel nature-inspired fuzzy models for predicting long contraction scouring and related

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3,   Pages 665-681 doi: 10.1007/s11709-021-0713-0

Abstract: The scouring phenomenon is one of the major problems experienced in hydraulic engineering. In this study, an adaptive neuro-fuzzy inference system is hybridized with several evolutionary approaches, including the ant colony optimization, genetic algorithm, teaching-learning-based optimization, biogeographical-based optimization, and invasive weed optimization for estimating the long contraction scour depth. The proposed hybrid models are built using non-dimensional information collected from previous studies. The proposed hybrid intelligent models are evaluated using several statistical performance metrics and graphical presentations. Besides, the uncertainty of models, variables, and data are inspected. Based on the achieved modeling results, adaptive neuro-fuzzy inference system–biogeographic based optimization (ANFIS-BBO) provides superior prediction accuracy compared to others, with a maximum correlation coefficient (Rtest = 0.923) and minimum root mean square error value (RMSEtest = 0.0193). Thus, the proposed ANFIS-BBO is a capable cost-effective method for predicting long contraction scouring, thus, contributing to the base knowledge of hydraulic structure sustainability.

Keywords： long contraction scour     prediction     uncertainty     ANFIS model     meta-heuristic algorithm    

HTML PDF Collect

Carrying Capacity Assessment and Its Application in Mariculture Management

Zhang Jihong, Lin Fan and Fang Jianguang

Strategic Study of CAE 2016, Volume 18, Issue 3,   Pages 85-89 doi: 10.15302/J-SSCAE-2016.03.014

Abstract: the key technologies behind capacity evaluation, including the index system of ecological capacity assessment, the numerical model of individual growth of cultured organisms, the coupling of hydrodynamic processesthe long-term monitoring experimental station of the offshore aquaculture structure, culture capacity assessment

Keywords： mariculture     carrying capacity     management     model    

HTML PDF Collect

Title Author Date Type Operation

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

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

Shear-flexural strength mechanical model for the design and assessment of reinforced concrete beams subjected

Antonio MARÍ,Antoni CLADERA,Jesús BAIRÁN,Eva OLLER,Carlos RIBAS

Journal Article

Decentralised energy and its performance assessment models

Ting WU, Dong-Ling XU, Jian-Bo YANG

Journal Article

Kinetic energy based model assessment and sensitivity analysis of vortex induced vibration of segmental

Nazim Abdul NARIMAN

Journal Article

PROPOSED INNOVATION REFORM MODEL FOR THE MINERAL NITROGEN FERTILIZER INDUSTRY IN CHINA TO REDUCE GREENHOUSE

Journal Article

An assessment of China-Japan-Korea Free Trade Agreement’s economic and environmental impacts on China

Zhaoyang LIU, Xianqiang MAO, Wei TANG, Tao HU, Peng SONG

Journal Article

Proposal of a probabilistic assessment of structural collapse concomitantly subject to earthquake and

Gholamreza ABDOLLAHZADEH, Hadi FAGHIHMALEKI

Journal Article

Theory Model and a Method for Qualitative Assessment of Sustainable Development of Regional Water Resources

Chen Shouyu

Journal Article

Research of mine farmland heavy metal pollution assessment basedon synthetic principal component analysismodel

Wang Conglu,Wu Chao,Duan Yu

Journal Article

Effective optimization and uncertainty assessment of Xin’ anjiang model parameters

Wang Wenchuan,Cheng Chuntian,Qiu Lin,Yang Binbin

Journal Article

Review of human–robot coordination control for rehabilitation based on motor function evaluation

Journal Article

Assessment and validation of liquid breakup models for high-pressure dense diesel sprays

Yi REN,Xianguo LI

Journal Article

Assessment of novel nature-inspired fuzzy models for predicting long contraction scouring and related

Journal Article

Carrying Capacity Assessment and Its Application in Mariculture Management

Zhang Jihong, Lin Fan and Fang Jianguang

Journal Article