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Journal Articles

Bounds on the Poisson’s Ratios of Diamond-Like Structures

Yi Liu, Chunbo Zhang, Hang Yang, Enlai Gao
Journal: Journal of Applied Mechanics
Publisher: ASME
Article Type: Research Papers
J. Appl. Mech. October 2023, 90(10): 101009.
Paper No: JAM-23-1176
https://doi.org/10.1115/1.4062700
Published Online: July 18, 2023
View Article titled, Bounds on the Poisson’s Ratios of Diamond-Like Structures
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Topics: Diamonds, Elastic constants, Poisson ratio, Simulation, Deformation, Elasticity, Dimensionless numbers
Journal Articles

A Polynomial-Chaos-Based Multifidelity Approach to the Efficient Uncertainty Quantification of Online Simulations of Automotive Propulsion Systems

Hang Yang, Alex Gorodetsky, Yuji Fujii, K. W. Wang
Journal: Journal of Computational and Nonlinear Dynamics
Publisher: ASME
Article Type: Research-Article
J. Comput. Nonlinear Dynam. May 2022, 17(5): 051012.
Paper No: CND-21-1307
https://doi.org/10.1115/1.4053559
Published Online: March 15, 2022
View Article titled, A Polynomial-Chaos-Based Multifidelity Approach to the Efficient Uncertainty Quantification of Online Simulations of Automotive Propulsion Systems
Open the PDF for A Polynomial-Chaos-Based Multifidelity Approach to the Efficient Uncertainty Quantification of Online Simulations of Automotive Propulsion Systems in another window
Topics: Chaos, Polynomials, Propulsion systems, Simulation, Torque, Uncertainty quantification, Engineering simulation, Uncertainty, Vehicles
Proceedings Papers

Multifidelity Uncertainty Quantification for Online Simulations of Automotive Propulsion Systems

Hang Yang, Alex Gorodetsky, Yuji Fujii, Kon-Well Wang
Proc. ASME. IDETC-CIE2021, Volume 9: 17th International Conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC), V009T09A043, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-67585
https://doi.org/10.1115/DETC2021-67585
View Paper titled, Multifidelity Uncertainty Quantification for Online Simulations of Automotive Propulsion Systems
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Topics: Engineering simulation, Propulsion systems, Simulation, Uncertainty quantification, Chaos, Polynomials, Uncertainty, Errors, Modeling, Nonlinear systems
Proceedings Papers

Statistical and Lifetime Characterization of PTFE Materials for Extreme Environments

Sannmit Shinde, Dominic Devito, Meghan Kenny, Ali P. Gordon, Zachary Poust, Jim Drago, Ming-Hang Yang, Paul Nichols
Proc. ASME. PVP2021, Volume 2: Computer Technology and Bolted Joints; Design and Analysis, V002T02A001, July 13–15, 2021
Publisher: American Society of Mechanical Engineers
Paper No: PVP2021-60521
https://doi.org/10.1115/PVP2021-60521
View Paper titled, Statistical and Lifetime Characterization of PTFE Materials for Extreme Environments
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Topics: Compressive stress, Deformation, Experimental design, Fillers (Materials), Gaskets, Leakage, Load bearing capacity, Manufacturing, Pressure, Relaxation (Physics)
Journal Articles

Exploring Elastoplastic Constitutive Law of Microstructured Materials Through Artificial Neural Network—A Mechanistic-Based Data-Driven Approach

Hang Yang, Hai Qiu, Qian Xiang, Shan Tang, Xu Guo
Journal: Journal of Applied Mechanics
Publisher: ASME
Article Type: Research Papers
J. Appl. Mech. September 2020, 87(9): 091005.
Paper No: JAM-20-1198
https://doi.org/10.1115/1.4047208
Published Online: June 4, 2020
View Article titled, Exploring Elastoplastic Constitutive Law of Microstructured Materials Through Artificial Neural Network—A Mechanistic-Based Data-Driven Approach
Open the PDF for Exploring Elastoplastic Constitutive Law of Microstructured Materials Through Artificial Neural Network—A Mechanistic-Based Data-Driven Approach in another window
Topics: Artificial neural networks, Constitutive equations, Particulate matter, Plasticity, Stress, Cantilever beams