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Proceedings Papers

Global Sensitivity Analysis for Field Response Based on the Manifold of Feature Covariance Matrix

Zhouzhou Song, Zhao Liu, Can Xu, Ping Zhu
Proc. ASME. IDETC-CIE2021, Volume 3B: 47th Design Automation Conference (DAC), V03BT03A010, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-69086
https://doi.org/10.1115/DETC2021-69086
View Paper titled, Global Sensitivity Analysis for Field Response Based on the Manifold of Feature Covariance Matrix
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Topics: Manifolds, Sensitivity analysis
Journal Articles

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

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 Article titled, Sequential Sampling Framework for Metamodeling Uncertainty Reduction in Multilevel Optimization of Hierarchical Systems
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Topics: Design, Metamodeling, Optimization, Uncertainty
Proceedings Papers

Uncertainty-Based Multidisciplinary Design Optimization for Feedback-Coupled Systems Under Both Parametric and Metamodeling Uncertainties

Zhao Liu, Zhouzhou Song, Ping Zhu, Can Xu
Proc. ASME. IDETC-CIE2020, Volume 11B: 46th Design Automation Conference (DAC), V11BT11A041, August 17–19, 2020
Publisher: American Society of Mechanical Engineers
Paper No: DETC2020-22161
https://doi.org/10.1115/DETC2020-22161
View Paper titled, Uncertainty-Based Multidisciplinary Design Optimization for Feedback-Coupled Systems Under Both Parametric and Metamodeling Uncertainties
Open the PDF for Uncertainty-Based Multidisciplinary Design Optimization for Feedback-Coupled Systems Under Both Parametric and Metamodeling Uncertainties in another window
Topics: Chaos, Design, Feedback, Optimization, Polynomials, Uncertainty
Journal Articles

Mapping-Based Hierarchical Sensitivity Analysis for Multilevel Systems With Multidimensional Correlations

Can Xu, Ping Zhu, Zhao Liu, Wei Tao
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. January 2021, 143(1): 011707.
Paper No: MD-20-1030
https://doi.org/10.1115/1.4047689
Published Online: August 13, 2020
View Article titled, Mapping-Based Hierarchical Sensitivity Analysis for Multilevel Systems With Multidimensional Correlations
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Topics: Chaos, Modeling, Polynomials, Sensitivity analysis, Composite materials, Uncertainty
Proceedings Papers

A Novel Hierarchical Framework for Uncertainty Analysis of Multiscale Systems Combined Vine Copula With Sparse PCE

Can Xu, Zhao Liu, Wei Tao, Ping Zhu
Proc. ASME. IDETC-CIE2019, Volume 2B: 45th Design Automation Conference, V02BT03A044, August 18–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DETC2019-97832
https://doi.org/10.1115/DETC2019-97832
View Paper titled, A Novel Hierarchical Framework for Uncertainty Analysis of Multiscale Systems Combined Vine Copula With Sparse PCE
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Topics: Chaos, Polynomials, Uncertainty analysis
Journal Articles

A Vine Copula-Based Hierarchical Framework for Multiscale Uncertainty Analysis

Can Xu, Zhao Liu, Wei Tao, Ping Zhu
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. March 2020, 142(3): 031101.
Paper No: MD-19-1392
https://doi.org/10.1115/1.4045177
Published Online: November 1, 2019
View Article titled, A Vine Copula-Based Hierarchical Framework for Multiscale Uncertainty Analysis
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Topics: Uncertainty, Uncertainty analysis, Polynomials, Modeling, Probability, Fittings
eBook Chapter

Ideas of Average Price on Metal Futures Hedging—Empirical Analysis Based on Probit Model

Series: ASME Press Select Proceedings
Publisher: ASME Press
Published: 2011
ISBN: 9780791859759
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Topics: Metals