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Journal Articles

DrivAerNet: A Parametric Car Dataset for Data-Driven Aerodynamic Design and Prediction

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Mohamed Elrefaie, Angela Dai, Faez Ahmed
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. April 2025, 147(4): 041712.
Paper No: MD-24-1657
https://doi.org/10.1115/1.4068104
Published Online: March 25, 2025
View Articletitled, DrivAerNet: A Parametric Car Dataset for Data-Driven Aerodynamic Design and Prediction
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Topics: Computational fluid dynamics, Design, Drag (Fluid dynamics), Simulation, Pressure, Machine learning, Turbulence, Shapes, Modeling, Deep learning
Journal Articles

Data-Efficient Dimensionality Reduction and Surrogate Modeling of High-Dimensional Stress Fields

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Anirban Samaddar, Sandipp Krishnan Ravi, Nesar Ramachandra, Lele Luan, Sandeep Madireddy, Anindya Bhaduri, Piyush Pandita, Changjie Sun, Liping Wang
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. March 2025, 147(3): 031701.
Paper No: MD-24-1156
https://doi.org/10.1115/1.4066224
Published Online: October 18, 2024
View Articletitled, Data-Efficient Dimensionality Reduction and Surrogate Modeling of High-Dimensional Stress Fields
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Topics: Compression, Computer-aided engineering, Metamodeling, Modeling, Stress
Journal Articles

Boosting Engineering Optimization With a Novel Recursive Transfer Bifidelity Surrogate Modeling

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Xueguan Song, Shuai Zhang, Yong Pang, Jianji Li, Jiankang Zhang
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. March 2025, 147(3): 031704.
Paper No: MD-24-1311
https://doi.org/10.1115/1.4066688
Published Online: October 18, 2024
View Articletitled, Boosting Engineering Optimization With a Novel Recursive Transfer Bifidelity Surrogate Modeling
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Topics: Hafnium, Metamodeling, Modeling, Optimization, Robustness, Design
Journal Articles

Multi-Task Learning for Design Under Uncertainty With Multi-Fidelity Partially Observed Information

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Yanwen Xu, Hao Wu, Zheng Liu, Pingfeng Wang, Yumeng Li
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. August 2024, 146(8): 081704.
Paper No: MD-23-1618
https://doi.org/10.1115/1.4064492
Published Online: March 5, 2024
View Articletitled, Multi-Task Learning for Design Under Uncertainty With Multi-Fidelity Partially Observed Information
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Topics: Design, Design under uncertainty, Machine learning, Metamodeling, Optimization, Reliability, Reliability-based optimization, Uncertainty, Complex systems, Uncertainty quantification
Journal Articles

Convolutional Dimension-Reduction With Knowledge Reasoning for Reliability Approximations of Structures Under High-Dimensional Spatial Uncertainties

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Luojie Shi, Kai Zhou, Zequn Wang
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. July 2024, 146(7): 071701.
Paper No: MD-23-1478
https://doi.org/10.1115/1.4064159
Published Online: January 12, 2024
View Articletitled, Convolutional Dimension-Reduction With Knowledge Reasoning for Reliability Approximations of Structures Under High-Dimensional Spatial Uncertainties
Open the PDF for Convolutional Dimension-Reduction With Knowledge Reasoning for Reliability Approximations of Structures Under High-Dimensional Spatial Uncertainties in another window
Topics: Dimensions, Metamodeling, Reliability, Uncertainty, Uncertainty quantification, Finite element methods, Simulation, Regression models
Journal Articles

A New Sequential Sampling Method for Surrogate Modeling Based on a Hybrid Metric

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Weifei Hu, Feng Zhao, Xiaoyu Deng, Feiyun Cong, Jianwei Wu, Zhenyu Liu, Jianrong Tan
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. June 2024, 146(6): 061705.
Paper No: MD-23-1570
https://doi.org/10.1115/1.4064163
Published Online: December 18, 2023
View Articletitled, A New Sequential Sampling Method for Surrogate Modeling Based on a Hybrid Metric
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Topics: Errors, Metamodeling, Sampling methods, Design, Experimental design, Entropy
Journal Articles

A Single-Fidelity Surrogate Modeling Method Based on Nonlinearity Integrated Multi-Fidelity Surrogate

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Kunpeng Li, Xiwang He, Liye Lv, Jiaxiang Zhu, Guangbo Hao, Haiyang Li, Xueguan Song
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. September 2023, 145(9): 091705.
Paper No: MD-22-1637
https://doi.org/10.1115/1.4062665
Published Online: June 26, 2023
View Articletitled, A Single-Fidelity Surrogate Modeling Method Based on Nonlinearity Integrated Multi-Fidelity Surrogate
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Topics: Displacement, Errors, Manipulators, Metamodeling, Mirrors, Modeling, Stability, Stress, Digital twin, Robustness
Journal Articles

Net-HDMR Metamodeling Method for High-Dimensional Problems

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Jie Liu, Yue Zhao, Fei Lei, Fei Ding
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. September 2023, 145(9): 091706.
Paper No: MD-23-1128
https://doi.org/10.1115/1.4062669
Published Online: June 26, 2023
View Articletitled, Net-HDMR Metamodeling Method for High-Dimensional Problems
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Topics: Interpolation, Metamodeling, Modeling, Sampling methods, Splines, Approximation, Dimensions, Deformation, Construction
Journal Articles

An Adaptive Dendrite-HDMR Metamodeling Technique for High-Dimensional Problems

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Qi Zhang, Yizhong Wu, Li Lu, Ping Qiao
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. August 2022, 144(8): 081701.
Paper No: MD-21-1569
https://doi.org/10.1115/1.4053526
Published Online: March 24, 2022
View Articletitled, An Adaptive Dendrite-HDMR Metamodeling Technique for High-Dimensional Problems
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Topics: Design, Metamodeling, Optimization, Propulsion systems, Vehicles, Weight (Mass), Algorithms, Impulse (Physics), Uncertainty
Journal Articles

Multifidelity Data Fusion Based on Gradient-Enhanced Surrogate Modeling Method

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Kunpeng Li, Yin Liu, Shuo Wang, Xueguan Song
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. December 2021, 143(12): 121704.
Paper No: MD-20-1895
https://doi.org/10.1115/1.4051193
Published Online: July 19, 2021
View Articletitled, Multifidelity Data Fusion Based on Gradient-Enhanced Surrogate Modeling Method
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Topics: Data fusion, Design, Metamodeling, Modeling, Robustness, Simulation
Journal Articles

Sequential Sampling Framework for Metamodeling Uncertainty Reduction in Multilevel Optimization of Hierarchical Systems

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Can Xu, Ping Zhu, Zhao Liu
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. October 2021, 143(10): 101701.
Paper No: MD-20-1657
https://doi.org/10.1115/1.4050654
Published Online: April 9, 2021
View Articletitled, Sequential Sampling Framework for Metamodeling Uncertainty Reduction in Multilevel Optimization of Hierarchical Systems
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Topics: Design, Metamodeling, Optimization, Uncertainty
Journal Articles

Metamodeling Development for Vehicle Frontal Impact Simulation

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R. J. Yang, N. Wang, C. H. Tho, J. P. Bobineau, B. P. Wang
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Technical Papers
J. Mech. Des. September 2005, 127(5): 1014–1020.
https://doi.org/10.1115/1.1906264
Published Online: January 14, 2005
View Articletitled, Metamodeling Development for Vehicle Frontal Impact Simulation
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Topics: Design, Metamodeling, Modeling, Simulation, Vehicles, Deformation, Response surface methodology, Errors, Sampling methods