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Journal Articles

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

Yanwen Xu, Hao Wu, Zheng Liu, Pingfeng Wang, Yumeng Li

Publisher: ASME

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

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

Luojie Shi, Kai Zhou, Zequn Wang

Publisher: ASME

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

Topics: Dimensions, Metamodeling, Reliability, Uncertainty, Uncertainty quantification, Finite element methods, Simulation, Regression models

Journal Articles

Safeguarding Multi-Fidelity Bayesian Optimization Against Large Model Form Errors and Heterogeneous Noise

Zahra Zanjani Foumani, Amin Yousefpour, Mehdi Shishehbor, Ramin Bostanabad

Publisher: ASME

J. Mech. Des. June 2024, 146(6): 061703.

Paper No: MD-23-1380

https://doi.org/10.1115/1.4064160

Published Online: December 18, 2023

View Article titled, Safeguarding Multi-Fidelity Bayesian Optimization Against Large Model Form Errors and Heterogeneous Noise

Topics: Design, Noise (Sound), Optimization, Uncertainty quantification, Modeling, Manifolds, Errors, Uncertainty

Includes: Supplementary data

Journal Articles

Mission Engineering and Design Using Real-Time Strategy Games: An Explainable AI Approach

Adam Dachowicz, Kshitij Mall, Prajwal Balasubramani, Apoorv Maheshwari, Ali K. Raz, Jitesh H. Panchal, Daniel A. DeLaurentis

Publisher: ASME

J. Mech. Des. February 2022, 144(2): 021710.

Paper No: MD-21-1200

https://doi.org/10.1115/1.4052841

Published Online: November 25, 2021

View Article titled, Mission Engineering and Design Using Real-Time Strategy Games: An Explainable AI Approach

Topics: Design, Probability, Uncertainty, Uncertainty quantification, Damage

Journal Articles

ERGO: A New Robust Design Optimization Technique Combining Multi-Objective Bayesian Optimization With Analytical Uncertainty Quantification

Jolan Wauters

Publisher: ASME

J. Mech. Des. March 2022, 144(3): 031702.

Paper No: MD-21-1198

https://doi.org/10.1115/1.4052009

Published Online: October 1, 2021

View Article titled, ERGO: A New Robust Design Optimization Technique Combining Multi-Objective Bayesian Optimization With Analytical Uncertainty Quantification

Topics: Design, Optimization, Uncertainty quantification, Uncertainty

Journal Articles

Constructing Oscillating Function-Based Covariance Matrix to Allow Negative Correlations in Gaussian Random Field Models for Uncertainty Quantification

Hongyi Xu

Publisher: ASME

J. Mech. Des. July 2020, 142(7): 074501.

Paper No: MD-19-1674

https://doi.org/10.1115/1.4046067

Published Online: March 3, 2020

View Article titled, Constructing Oscillating Function-Based Covariance Matrix to Allow Negative Correlations in Gaussian Random Field Models for Uncertainty Quantification

Topics: Anisotropy, Modeling, Porosity, Stochastic processes, Uncertainty, Uncertainty quantification, Polymers, Statistics, Fittings

Journal Articles

Evidence-Based Structural Uncertainty Quantification by Dimension Reduction Decomposition and Marginal Interval Analysis

Lixiong Cao, Jie Liu, Chao Jiang, Zhantao Wu, Zheng Zhang

Publisher: ASME

J. Mech. Des. May 2020, 142(5): 051701.

Paper No: MD-18-1475

https://doi.org/10.1115/1.4044915

Published Online: November 11, 2019

View Article titled, Evidence-Based Structural Uncertainty Quantification by Dimension Reduction Decomposition and Marginal Interval Analysis

Topics: Dimensions, Uncertainty, Uncertainty quantification

Journal Articles

Reliability-Based Design Optimization of Microstructures With Analytical Formulation

Pinar Acar

Publisher: ASME

J. Mech. Des. November 2018, 140(11): 111402.

Paper No: MD-18-1108

https://doi.org/10.1115/1.4040881

Published Online: September 7, 2018

View Article titled, Reliability-Based Design Optimization of Microstructures With Analytical Formulation

Topics: Design, Failure, Materials properties, Optimization, Probability, Reliability, Reliability-based optimization, Titanium, Uncertainty, Yield stress

Journal Articles

Identifying Uncertainty in Laser Powder Bed Fusion Additive Manufacturing Models

Felipe Lopez, Paul Witherell, Brandon Lane

Publisher: ASME

J. Mech. Des. November 2016, 138(11): 114502.

Paper No: MD-16-1247

https://doi.org/10.1115/1.4034103

Published Online: September 12, 2016

View Article titled, Identifying Uncertainty in Laser Powder Bed Fusion Additive Manufacturing Models

Topics: Lasers, Uncertainty, Errors, Modeling, Uncertainty quantification, Additive manufacturing

Journal Articles

A Spatial-Random-Process Based Multidisciplinary System Uncertainty Propagation Approach With Model Uncertainty

Zhen Jiang, Wei Li, Daniel W. Apley, Wei Chen

Publisher: ASME

J. Mech. Des. October 2015, 137(10): 101402.

Paper No: MD-14-1779

https://doi.org/10.1115/1.4031096

Published Online: August 10, 2015

View Article titled, A Spatial-Random-Process Based Multidisciplinary System Uncertainty Propagation Approach With Model Uncertainty

Topics: Design, Uncertainty, Modeling, Uncertainty quantification, Simulation, Optimization

Journal Articles

Application of Polynomial Chaos Expansion to Tolerance Analysis and Synthesis in Compliant Assemblies Subject to Loading

Maciej Mazur, Martin Leary, Aleksandar Subic

Publisher: ASME

J. Mech. Des. March 2015, 137(3): 031701.

Paper No: MD-14-1300

https://doi.org/10.1115/1.4029283

Published Online: March 1, 2015

View Article titled, Application of Polynomial Chaos Expansion to Tolerance Analysis and Synthesis in Compliant Assemblies Subject to Loading

Topics: Manufacturing, Optimization, Polynomials, Tolerance analysis, Uncertainty quantification, Rails, Simulation, Design, Chaos, Computer-aided design

Journal Articles

Parametric Design Optimization of Uncertain Ordinary Differential Equation Systems

Joe Hays, Adrian Sandu, Corina Sandu, Dennis Hong

Publisher: ASME

J. Mech. Des. August 2012, 134(8): 081003.

https://doi.org/10.1115/1.4006950

Published Online: July 23, 2012

View Article titled, Parametric Design Optimization of Uncertain Ordinary Differential Equation Systems

Topics: Design, Optimization, Uncertainty, Polynomials, Uncertainty quantification

Journal Articles

Bayesian Based Multivariate Model Validation Method Under Uncertainty for Dynamic Systems

Zhenfei Zhan, Yan Fu, Ren-Jye Yang, Yinghong Peng

Publisher: ASME

J. Mech. Des. March 2012, 134(3): 034502.

https://doi.org/10.1115/1.4005863

Published Online: February 29, 2012

View Article titled, Bayesian Based Multivariate Model Validation Method Under Uncertainty for Dynamic Systems

Topics: Computer-aided engineering, Dynamic systems, Model validation, Testing, Uncertainty, Dimensions, Uncertainty quantification

Journal Articles

A Design-Driven Validation Approach Using Bayesian Prediction Models

Wei Chen, Ying Xiong, Kwok-Leung Tsui, Shuchun Wang

Publisher: ASME

J. Mech. Des. February 2008, 130(2): 021101.

https://doi.org/10.1115/1.2809439

Published Online: December 27, 2007

View Article titled, A Design-Driven Validation Approach Using Bayesian Prediction Models

Topics: Design, Uncertainty quantification, Computers, Uncertainty

Journal citation

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Supplemental Material

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

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

Safeguarding Multi-Fidelity Bayesian Optimization Against Large Model Form Errors and Heterogeneous Noise

Mission Engineering and Design Using Real-Time Strategy Games: An Explainable AI Approach

ERGO: A New Robust Design Optimization Technique Combining Multi-Objective Bayesian Optimization With Analytical Uncertainty Quantification

Constructing Oscillating Function-Based Covariance Matrix to Allow Negative Correlations in Gaussian Random Field Models for Uncertainty Quantification

Evidence-Based Structural Uncertainty Quantification by Dimension Reduction Decomposition and Marginal Interval Analysis

Reliability-Based Design Optimization of Microstructures With Analytical Formulation

Identifying Uncertainty in Laser Powder Bed Fusion Additive Manufacturing Models

A Spatial-Random-Process Based Multidisciplinary System Uncertainty Propagation Approach With Model Uncertainty

Application of Polynomial Chaos Expansion to Tolerance Analysis and Synthesis in Compliant Assemblies Subject to Loading

Parametric Design Optimization of Uncertain Ordinary Differential Equation Systems

Bayesian Based Multivariate Model Validation Method Under Uncertainty for Dynamic Systems

A Design-Driven Validation Approach Using Bayesian Prediction Models

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