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Proceedings Papers

Crack Detection and Evaluation Method for Self-Piercing Riveting Button Images Based on BP Neural Network

Ke Hu, Ling Jiang, Zhenfei Zhan, Fei Wu

Proc. ASME. IMECE2021, Volume 4: Advances in Aerospace Technology, V004T04A021, November 1–5, 2021

Paper No: IMECE2021-73530

DOI: https://doi.org/10.1115/IMECE2021-73530

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Topics: Artificial neural networks, Crack detection, Evaluation methods, Riveting

Proceedings Papers

An Analytical Study of BMI Effects on Obese Senior Females in Vehicle Frontal Impact

Huijie Xu, Zhenfei Zhan, Yunlei Yin, Wenxiang Dong, Qingmiao Wang, Ruyi Chen, Xin Jin

Proc. ASME. IMECE2019, Volume 3: Biomedical and Biotechnology Engineering, V003T04A053, November 11–14, 2019

Paper No: IMECE2019-10918

DOI: https://doi.org/10.1115/IMECE2019-10918

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Topics: Engineering simulation, Finite element model, Motor vehicles, Risk, Safety, Shapes, Simulation, Traffic accidents, Vehicles, Wounds

Proceedings Papers

A Peak-Selection RBF Mesh Morphing Method for Subject-Specific Child Occupant Modeling

Yunlei Yin, Wenxiang Dong, Zhenfei Zhan, Junming Li

Proc. ASME. IMECE2018, Volume 13: Design, Reliability, Safety, and Risk, V013T05A014, November 9–15, 2018

Paper No: IMECE2018-88398

DOI: https://doi.org/10.1115/IMECE2018-88398

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Topics: Modeling, Finite element analysis, Finite element model, Mesh generation, Motor vehicles, Wounds

Proceedings Papers

A Crack Detection and Evaluation Method for Self-Piercing Riveting

Xuyang Wang, Yudong Fang, Zhenfei Zhan

Proc. ASME. IMECE2018, Volume 12: Materials: Genetics to Structures, V012T11A006, November 9–15, 2018

Paper No: IMECE2018-88403

DOI: https://doi.org/10.1115/IMECE2018-88403

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Topics: Crack detection, Evaluation methods, Riveting, Fracture (Materials), Rivets, Automobiles, Failure, Image processing, Inspection, Joining

Proceedings Papers

Research on a Multi-Fidelity Surrogate Model Based Model Updating Strategy

Ping Wang, Qingmiao Wang, Xin Yang, Zhenfei Zhan

Proc. ASME. IMECE2018, Volume 13: Design, Reliability, Safety, and Risk, V013T05A006, November 9–15, 2018

Paper No: IMECE2018-88421

DOI: https://doi.org/10.1115/IMECE2018-88421

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Topics: Automotive design, Engineering systems and industry applications, Finite element analysis, Finite element model, Modeling, Response surface methodology, Simulation, Vehicles

Journal Articles

A Structural Equation Modeling-Based Strategy for Design Optimization of Multilayer Composite Structural Systems

Junqi Yang, Hongyi Xu, Zhenfei Zhan, Ching-Hung Chuang

J. Mech. Des. November 2018, 140(11): 111407.

Paper No: MD-18-1226

DOI: https://doi.org/10.1115/1.4040984

Published Online: September 7, 2018

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Topics: Composite materials, Design, Optimization, Modeling

Proceedings Papers

Research on the Impact of Feature-Based Model Simplification on CAE Simulation Results

Qingmiao Wang, Zhenfei Zhan, Xin Yang, Jun Lu

Proc. ASME. IMECE2017, Volume 12: Transportation Systems, V012T16A003, November 3–9, 2017

Paper No: IMECE2017-72186

DOI: https://doi.org/10.1115/IMECE2017-72186

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Topics: Computer-aided engineering, Simulation results, Boundary-value problems

Proceedings Papers

A Relevance Vector Regression Based Uncertainty Quantification Method for Robustness Design

Chong Chen, Zhenfei Zhan, Huili Yu, Hui Zhao

Proc. ASME. IMECE2017, Volume 4B: Dynamics, Vibration, and Control, V04BT05A042, November 3–9, 2017

Paper No: IMECE2017-71842

DOI: https://doi.org/10.1115/IMECE2017-71842

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Topics: Design, Robustness, Uncertainty quantification, Uncertainty, Optimization, Accounting, Computer simulation, Probability

Proceedings Papers

Study of the Design Representation Methods for the Optimization of Multi-Layer Composite Structures

Hongyi Xu, Junqi Yang, Ching-Hung Chuang, Zhenfei Zhan

Proc. ASME. IDETC-CIE2017, Volume 2B: 43rd Design Automation Conference, V02BT03A002, August 6–9, 2017

Paper No: DETC2017-67309

DOI: https://doi.org/10.1115/DETC2017-67309

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Topics: Composite materials, Design, Optimization, Switches

Journal Articles

A Mixed-Kernel-Based Support Vector Regression Model for Automotive Body Design Optimization Under Uncertainty

Yudong Fang, Zhenfei Zhan, Junqi Yang, Xu Liu

ASME J. Risk Uncertainty Part B. December 2017, 3(4): 041008.

Paper No: RISK-17-1037

DOI: https://doi.org/10.1115/1.4036990

Published Online: June 28, 2017

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Topics: Design, Optimization, Reliability-based optimization, Support vector machines, Uncertainty, Particle swarm optimization, Weight (Mass), Vehicles

Proceedings Papers

A Mixed-Kernel-Based Support Vector Regression Model for Automotive Body Design Optimization

Yudong Fang, Zhenfei Zhan, Junqi Yang, Jun Lu, Chong Chen

Proc. ASME. IMECE2016, Volume 12: Transportation Systems, V012T16A013, November 11–17, 2016

Paper No: IMECE2016-67669

DOI: https://doi.org/10.1115/IMECE2016-67669

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Topics: Design, Optimization, Support vector machines, Algorithms, Automotive design, Computers, Crashworthiness, Finite element analysis, Finite element model, Particle swarm optimization

Proceedings Papers

An Enhanced Surrogate Model Based Vehicle Robust Design Method Under Materials and Manufacturing Uncertainties

Jie Li, Yudong Fang, Zhenfei Zhan, Yazhou Jiang

Proc. ASME. IMECE2016, Volume 11: Systems, Design, and Complexity, V011T15A015, November 11–17, 2016

Paper No: IMECE2016-67714

DOI: https://doi.org/10.1115/IMECE2016-67714

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Topics: Design methodology, Manufacturing, Uncertainty, Vehicles, Design, Automotive design, Design theory, Materials properties, Maximum likelihood estimation, Optimization

Proceedings Papers

A Stochastic Multivariate Validation Method for Dynamic Systems

Jun Lu, Zhenfei Zhan, Pan Wang, Yudong Fang, Junqi Yang

Proc. ASME. IMECE2016, Volume 4A: Dynamics, Vibration, and Control, V04AT05A055, November 11–17, 2016

Paper No: IMECE2016-67690

DOI: https://doi.org/10.1115/IMECE2016-67690

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Topics: Dynamic systems, Computers, Dynamic models, Density, Dimensions, Model validation, Principal component analysis, Probability, Simulation results, Vehicles

Journal Articles

Bayesian Based Multivariate Model Validation Method Under Uncertainty for Dynamic Systems

Zhenfei Zhan, Yan Fu, Ren-Jye Yang, Yinghong Peng

J. Mech. Des. March 2012, 134(3): 034502.

DOI: https://doi.org/10.1115/1.4005863

Published Online: February 29, 2012

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Topics: Computer-aided engineering, Dynamic systems, Model validation, Testing, Uncertainty, Dimensions, Uncertainty quantification

Journal Articles

An Enhanced Bayesian Based Model Validation Method for Dynamic Systems

Zhenfei Zhan, Yan Fu, Ren-Jye Yang, Yinghong Peng

J. Mech. Des. April 2011, 133(4): 041005.

DOI: https://doi.org/10.1115/1.4003820

Published Online: May 9, 2011

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Topics: Computer-aided engineering, Dynamic systems, Model validation, Principal component analysis, Testing, Dimensions, Phase shift

Journal citation

NARROW

Crack Detection and Evaluation Method for Self-Piercing Riveting Button Images Based on BP Neural Network

An Analytical Study of BMI Effects on Obese Senior Females in Vehicle Frontal Impact

A Peak-Selection RBF Mesh Morphing Method for Subject-Specific Child Occupant Modeling

A Crack Detection and Evaluation Method for Self-Piercing Riveting

Research on a Multi-Fidelity Surrogate Model Based Model Updating Strategy

A Structural Equation Modeling-Based Strategy for Design Optimization of Multilayer Composite Structural Systems

Research on the Impact of Feature-Based Model Simplification on CAE Simulation Results

A Relevance Vector Regression Based Uncertainty Quantification Method for Robustness Design

Study of the Design Representation Methods for the Optimization of Multi-Layer Composite Structures

A Mixed-Kernel-Based Support Vector Regression Model for Automotive Body Design Optimization Under Uncertainty

A Mixed-Kernel-Based Support Vector Regression Model for Automotive Body Design Optimization

An Enhanced Surrogate Model Based Vehicle Robust Design Method Under Materials and Manufacturing Uncertainties

A Stochastic Multivariate Validation Method for Dynamic Systems

Bayesian Based Multivariate Model Validation Method Under Uncertainty for Dynamic Systems

An Enhanced Bayesian Based Model Validation Method for Dynamic Systems

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