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Proceedings Papers

Multi-Objective Optimal Kinematic Design of Composite Transverse Leaf Spring McPherson Suspension

Junhong Zhang, Feiqi Long, Jiewei Lin, Yiming Zhang

Proc. ASME. IMECE2021, Volume 7B: Dynamics, Vibration, and Control, V07BT07A037, November 1–5, 2021

Paper No: IMECE2021-72658

https://doi.org/10.1115/IMECE2021-72658

View Paper titled, Multi-Objective Optimal Kinematic Design of Composite Transverse Leaf Spring McPherson Suspension

Topics: Composite materials, Design, Kinematics, Pareto optimization, Springs

Journal Articles

Accelerating Additive Design With Probabilistic Machine Learning

Yiming Zhang, Sreekar Karnati, Soumya Nag, Neil Johnson, Genghis Khan, Brandon Ribic

ASME J. Risk Uncertainty Part B. March 2022, 8(1): 011109.

Paper No: RISK-20-1113

https://doi.org/10.1115/1.4051699

Published Online: September 20, 2021

View Article titled, Accelerating Additive Design With Probabilistic Machine Learning

Topics: Additive manufacturing, Design, Machine learning, Modeling, Optimization, Sensitivity analysis, Thin wall structures, Uncertainty, Tensile strength

Proceedings Papers

Bayesian Optimization for Multi-Objective High-Dimensional Turbine Aero Design

Yiming Zhang, Sayan Ghosh, Thomas Vandeputte, Liping Wang

Proc. ASME. GT2021, Volume 9B: Structures and Dynamics — Fatigue, Fracture, and Life Prediction; Probabilistic Methods; Rotordynamics; Structural Mechanics and Vibration, V09BT27A005, June 7–11, 2021

Paper No: GT2021-59745

https://doi.org/10.1115/GT2021-59745

View Paper titled, Bayesian Optimization for Multi-Objective High-Dimensional Turbine Aero Design

Topics: Design, Optimization, Turbines

Proceedings Papers

A Study of Control Strategy for Vehicle Semi-Active Suspension System

Yiming Zhang, Ye Lin

Proc. ASME. DETC91, 13th Biennial Conference on Mechanical Vibration and Noise: Rotating Machinery and Vehicle Dynamics, 347-351, September 22–25, 1991

Paper No: DETC1991-0267

https://doi.org/10.1115/DETC1991-0267

View Paper titled, A Study of Control Strategy for Vehicle Semi-Active Suspension System

Topics: Suspension systems, Vehicles, Optimal control, Actuators, Control equipment, Dampers, Generators, Nonlinear programming, Reliability, Roads

Journal Articles

Advances in Bayesian Probabilistic Modeling for Industrial Applications

Sayan Ghosh, Piyush Pandita, Steven Atkinson, Waad Subber, Yiming Zhang, Natarajan Chennimalai Kumar, Suryarghya Chakrabarti, Liping Wang

ASME J. Risk Uncertainty Part B. September 2020, 6(3): 030904.

Paper No: RISK-19-1074

https://doi.org/10.1115/1.4046747

Published Online: May 12, 2020

View Article titled, Advances in Bayesian Probabilistic Modeling for Industrial Applications

Topics: Design, Modeling, Sensitivity analysis, Transients (Dynamics), Uncertainty, Calibration

Journal Articles

A Coarse-Grained Regularization Method of Convolutional Kernel for Molten Pool Defect Identification

Tianyuan Liu, Jinsong Bao, Junliang Wang, Yiming Zhang

J. Comput. Inf. Sci. Eng. April 2020, 20(2): 021005.

Paper No: JCISE-19-1148

https://doi.org/10.1115/1.4045294

Published Online: January 3, 2020

View Article titled, A Coarse-Grained Regularization Method of Convolutional Kernel for Molten Pool Defect Identification

Topics: Algorithms, Artificial intelligence, Artificial neural networks, Engineering systems and industry applications, Machine learning, Machinery, Testing, Weight (Mass), Welding

Proceedings Papers

A Strategy for Adaptive Sampling of Multi-Fidelity Gaussian Processes to Reduce Predictive Uncertainty

Sayan Ghosh, Jesper Kristensen, Yiming Zhang, Waad Subber, Liping Wang

Proc. ASME. IDETC-CIE2019, Volume 2B: 45th Design Automation Conference, V02BT03A024, August 18–21, 2019

Paper No: DETC2019-98418

https://doi.org/10.1115/DETC2019-98418

View Paper titled, A Strategy for Adaptive Sampling of Multi-Fidelity Gaussian Processes to Reduce Predictive Uncertainty

Topics: Uncertainty, Design, Algorithms, Calibration, Computer software, Experimental design, Fluidized beds, Modeling, Optimization, Steady state

Journal Articles

General-Surrogate Adaptive Sampling Using Interquartile Range for Design Space Exploration

Yiming Zhang, Nam H. Kim, Raphael T. Haftka

J. Mech. Des. May 2020, 142(5): 051402.

Paper No: MD-19-1049

https://doi.org/10.1115/1.4044432

Published Online: November 20, 2019

View Article titled, General-Surrogate Adaptive Sampling Using Interquartile Range for Design Space Exploration

Topics: Uncertainty, Design, Errors

Journal Articles

Function Prediction at One Inaccessible Point Using Converging Lines

Yiming Zhang, Chanyoung Park, Nam H. Kim, Raphael T. Haftka

J. Mech. Des. May 2017, 139(5): 051402.

Paper No: MD-16-1568

https://doi.org/10.1115/1.4036130

Published Online: March 21, 2017

View Article titled, Function Prediction at One Inaccessible Point Using Converging Lines

Topics: Approximation, Drag (Fluid dynamics), Interpolation, Uncertainty, Errors

Proceedings Papers

Function Extrapolation at One Inaccessible Point Using Converging Lines

Yiming Zhang, Nam Ho Kim, Chanyoung Park, Raphael T. Haftka

Proc. ASME. IDETC-CIE2015, Volume 2B: 41st Design Automation Conference, V02BT03A027, August 2–5, 2015

Paper No: DETC2015-47689

https://doi.org/10.1115/DETC2015-47689

View Paper titled, Function Extrapolation at One Inaccessible Point Using Converging Lines

Topics: Drag (Fluid dynamics)