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Proceedings Papers

Design Optimization of Shape Memory Alloy-Based Adaptive Building Skins for Thermal Regulation

Yudong Fang, Edwin A. Peraza Hernandez
Proc. ASME. SMASIS2020, ASME 2020 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, V001T04A019, September 15, 2020
Paper No: SMASIS2020-2302
DOI: https://doi.org/10.1115/SMASIS2020-2302
View Paper titled, Design Optimization of Shape Memory Alloy-Based Adaptive Building Skins for Thermal Regulation
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Topics: Alloys, Design, Optimization, Shapes, Temperature, Wire, Air flow, Actuators, Cooling, Dimensions
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
View Paper titled, A Crack Detection and Evaluation Method for Self-Piercing Riveting
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Topics: Crack detection, Evaluation methods, Riveting, Fracture (Materials), Rivets, Automobiles, Failure, Image processing, Inspection, Joining
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
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Article Type: Research-Article
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
View Article titled, A Mixed-Kernel-Based Support Vector Regression Model for Automotive Body Design Optimization Under Uncertainty
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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
View Paper titled, A Mixed-Kernel-Based Support Vector Regression Model for Automotive Body Design Optimization
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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
View Paper titled, An Enhanced Surrogate Model Based Vehicle Robust Design Method Under Materials and Manufacturing Uncertainties
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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
View Paper titled, A Stochastic Multivariate Validation Method for Dynamic Systems
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Topics: Dynamic systems, Computers, Dynamic models, Density, Dimensions, Model validation, Principal component analysis, Probability, Simulation results, Vehicles