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Proceedings Papers

Diagnosis of Multiple Fixture Faults in Panel Assembly

Jianjun Shi, Daniel W. Apley
Proc. ASME. IMECE96, Manufacturing Science and Engineering, 575-581, November 17–22, 1996
Publisher: American Society of Mechanical Engineers
Paper No: IMECE1996-0829
https://doi.org/10.1115/IMECE1996-0829
View Paper titled, Diagnosis of Multiple Fixture Faults in Panel Assembly
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Topics: Manufacturing, Algorithms, Probability, Flaw detection, Modeling, Theoretical analysis
Proceedings Papers

Descriptor Aided Bayesian Optimization for Mixed Variable Materials Design With High Dimensional Qualitative Variables

Akshay Iyer, Suraj Yerramilli, James M. Rondinelli, Daniel W. Apley, Wei Chen
Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A049, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-90177
https://doi.org/10.1115/DETC2022-90177
View Paper titled, Descriptor Aided Bayesian Optimization for Mixed Variable Materials Design With High Dimensional Qualitative Variables
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Topics: Design, Optimization
Journal Articles

Descriptor Aided Bayesian Optimization for Many-Level Qualitative Variables With Materials Design Applications

Akshay Iyer, Suraj Yerramilli, James M. Rondinelli, Daniel W. Apley, Wei Chen
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. March 2023, 145(3): 031701.
Paper No: MD-22-1317
https://doi.org/10.1115/1.4055848
Published Online: October 31, 2022
View Article titled, Descriptor Aided Bayesian Optimization for Many-Level Qualitative Variables With Materials Design Applications
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Topics: Design, Modeling, Optimization
Journal Articles

Multi-Model Bayesian Optimization for Simulation-Based Design

Siyu Tao, Anton van Beek, Daniel W. Apley, Wei Chen
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. November 2021, 143(11): 111701.
Paper No: MD-20-1500
https://doi.org/10.1115/1.4050738
Published Online: May 4, 2021
View Article titled, Multi-Model Bayesian Optimization for Simulation-Based Design
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Topics: Design, Feedback, Optimization, Couplings, Simulation
Proceedings Papers

Bayesian Optimization for Simulation-Based Design of Multi-Model Systems

Siyu Tao, Anton van Beek, Daniel W. Apley, Wei Chen
Proc. ASME. IDETC-CIE2020, Volume 11B: 46th Design Automation Conference (DAC), V11BT11A022, August 17–19, 2020
Publisher: American Society of Mechanical Engineers
Paper No: DETC2020-22651
https://doi.org/10.1115/DETC2020-22651
View Paper titled, Bayesian Optimization for Simulation-Based Design of Multi-Model Systems
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Topics: Design, Optimization, Simulation, Algorithms, Couplings, Electronic packaging, Engineering design, Feedback, Modeling, Simulation models
Journal Articles

Integration of Normative Decision-Making and Batch Sampling for Global Metamodeling

Anton van Beek, Siyu Tao, Matthew Plumlee, Daniel W. Apley, Wei Chen
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. March 2020, 142(3): 031114.
Paper No: MD-19-1444
https://doi.org/10.1115/1.4045601
Published Online: January 25, 2020
View Article titled, Integration of Normative Decision-Making and Batch Sampling for Global Metamodeling
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Topics: Approximation, Decision making, Design, Dynamic programming, Probability, Risk, Simulation, Uncertainty, Optimization, Preferences
Journal Articles

Reduction of Epistemic Model Uncertainty in Simulation-Based Multidisciplinary Design

Zhen Jiang, Shishi Chen, Daniel W. Apley, Wei Chen
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research-Article
J. Mech. Des. August 2016, 138(8): 081403.
Paper No: MD-15-1693
https://doi.org/10.1115/1.4033918
Published Online: June 30, 2016
View Article titled, Reduction of Epistemic Model Uncertainty in Simulation-Based Multidisciplinary Design
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Topics: Resource allocation, Simulation, Uncertainty, Design
Journal Articles

Integrating Bayesian Calibration, Bias Correction, and Machine Learning for the 2014 Sandia Verification and Validation Challenge Problem

Wei Li, Shishi Chen, Zhen Jiang, Daniel W. Apley, Zhenzhou Lu, Wei Chen
Journal: Journal of Verification, Validation and Uncertainty Quantification
Publisher: ASME
Article Type: Research-Article
J. Verif. Valid. Uncert. March 2016, 1(1): 011004.
Paper No: VVUQ-15-1007
https://doi.org/10.1115/1.4031983
Published Online: February 19, 2016
View Article titled, Integrating Bayesian Calibration, Bias Correction, and Machine Learning for the 2014 Sandia Verification and Validation Challenge Problem
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Topics: Calibration, Machine learning, Uncertainty, Displacement
Proceedings Papers

A Structural Equation Modeling Based Approach for Identifying Key Descriptors in Microstructural Materials Design

Yichi Zhang, Daniel W. Apley, Wei Chen
Proc. ASME. IDETC-CIE2015, Volume 2B: 41st Design Automation Conference, V02BT03A011, August 2–5, 2015
Publisher: American Society of Mechanical Engineers
Paper No: DETC2015-47473
https://doi.org/10.1115/DETC2015-47473
View Paper titled, A Structural Equation Modeling Based Approach for Identifying Key Descriptors in Microstructural Materials Design
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Topics: Design, Modeling, Algorithms, Materials properties, Epoxy adhesives, Epoxy resins, Redundancy (Engineering)
Proceedings Papers

Resource Allocation for Reduction of Epistemic Uncertainty in Simulation-Based Multidisciplinary Design

Zhen Jiang, Shishi Chen, Daniel W. Apley, Wei Chen
Proc. ASME. IDETC-CIE2015, Volume 2B: 41st Design Automation Conference, V02BT03A036, August 2–5, 2015
Publisher: American Society of Mechanical Engineers
Paper No: DETC2015-47302
https://doi.org/10.1115/DETC2015-47302
View Paper titled, Resource Allocation for Reduction of Epistemic Uncertainty in Simulation-Based Multidisciplinary Design
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Topics: Design, Resource allocation, Simulation, Uncertainty, Electronic packaging, Optimization, Sensitivity analysis, Simulation models, Uncertainty analysis
Journal Articles

New Metrics for Validation of Data-Driven Random Process Models in Uncertainty Quantification

Hongyi Xu, Zhen Jiang, Daniel W. Apley, Wei Chen
Journal: Journal of Verification, Validation and Uncertainty Quantification
Publisher: ASME
Article Type: Research-Article
J. Verif. Valid. Uncert. June 2016, 1(2): 021002.
Paper No: VVUQ-14-1007
https://doi.org/10.1115/1.4031813
Published Online: December 10, 2015
View Article titled, New Metrics for Validation of Data-Driven Random Process Models in Uncertainty Quantification
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Topics: Stochastic processes, Uncertainty quantification
Journal Articles

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

Zhen Jiang, Wei Li, Daniel W. Apley, Wei Chen
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research-Article
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
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Topics: Design, Uncertainty, Modeling, Uncertainty quantification, Simulation, Optimization
Proceedings Papers

A System Uncertainty Propagation Approach With Model Uncertainty Quantification in Multidisciplinary Design

Zhen Jiang, Wei Li, Daniel W. Apley, Wei Chen
Proc. ASME. IDETC-CIE2014, Volume 2B: 40th Design Automation Conference, V02BT03A029, August 17–20, 2014
Publisher: American Society of Mechanical Engineers
Paper No: DETC2014-34708
https://doi.org/10.1115/DETC2014-34708
View Paper titled, A System Uncertainty Propagation Approach With Model Uncertainty Quantification in Multidisciplinary Design
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Topics: Design, Uncertainty, Uncertainty quantification, Engineering disciplines, Simulation, Design under uncertainty, Electronic packaging, Uncertainty analysis
Proceedings Papers

Preposterior Analysis to Select Experimental Responses for Improving Identifiability in Model Uncertainty Quantification

Zhen Jiang, Wei Chen, Daniel W. Apley
Proc. ASME. IDETC-CIE2013, Volume 3B: 39th Design Automation Conference, V03BT03A051, August 4–7, 2013
Publisher: American Society of Mechanical Engineers
Paper No: DETC2013-12457
https://doi.org/10.1115/DETC2013-12457
View Paper titled, Preposterior Analysis to Select Experimental Responses for Improving Identifiability in Model Uncertainty Quantification
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Topics: Uncertainty quantification, Calibration, Uncertainty, Computer simulation, Modeling, Physics, Simply supported beams
Proceedings Papers

Objective–Oriented Sequential Sampling for Simulation Based Robust Design Considering Multiple Sources of Uncertainty

Paul D. Arendt, Wei Chen, Daniel W. Apley
Proc. ASME. IDETC-CIE2012, Volume 3: 38th Design Automation Conference, Parts A and B, 717-726, August 12–15, 2012
Publisher: American Society of Mechanical Engineers
Paper No: DETC2012-70639
https://doi.org/10.1115/DETC2012-70639
View Paper titled, Objective–Oriented Sequential Sampling for Simulation Based Robust Design Considering Multiple Sources of Uncertainty
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Topics: Design, Simulation, Uncertainty, Noise (Sound), Interpolation, Algorithms, Computer simulation, Design under uncertainty, Engineering design, Optimization
Journal Articles

Objective-Oriented Sequential Sampling for Simulation Based Robust Design Considering Multiple Sources of Uncertainty

Paul D. Arendt, Daniel W. Apley, Wei Chen
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research-Article
J. Mech. Des. May 2013, 135(5): 051005.
Paper No: MD-12-1307
https://doi.org/10.1115/1.4023922
Published Online: April 23, 2013
View Article titled, Objective-Oriented Sequential Sampling for Simulation Based Robust Design Considering Multiple Sources of Uncertainty
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Topics: Design, Uncertainty, Interpolation, Algorithms, Noise (Sound), Simulation
Journal Articles

Improving Identifiability in Model Calibration Using Multiple Responses

Paul D. Arendt, Daniel W. Apley, Wei Chen, David Lamb, David Gorsich
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Special Section: Methods For Uncertainty Characterizations In Existing Models Through Uncertainly Quantification Or Calibration
J. Mech. Des. October 2012, 134(10): 100909.
https://doi.org/10.1115/1.4007573
Published Online: September 28, 2012
View Article titled, Improving Identifiability in Model Calibration Using Multiple Responses
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Topics: Calibration, Computers, Uncertainty
Journal Articles

Quantification of Model Uncertainty: Calibration, Model Discrepancy, and Identifiability

Paul D. Arendt, Daniel W. Apley, Wei Chen
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Special Section: Methods For Uncertainty Characterizations In Existing Models Through Uncertainly Quantification Or Calibration
J. Mech. Des. October 2012, 134(10): 100908.
https://doi.org/10.1115/1.4007390
Published Online: September 28, 2012
View Article titled, Quantification of Model Uncertainty: Calibration, Model Discrepancy, and Identifiability
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Topics: Calibration, Computers, Uncertainty, Simulation
Proceedings Papers

Improving Identifiability in Model Calibration Using Multiple Responses

Paul D. Arendt, Wei Chen, Daniel W. Apley
Proc. ASME. IDETC-CIE2011, Volume 5: 37th Design Automation Conference, Parts A and B, 1213-1222, August 28–31, 2011
Publisher: American Society of Mechanical Engineers
Paper No: DETC2011-48623
https://doi.org/10.1115/DETC2011-48623
View Paper titled, Improving Identifiability in Model Calibration Using Multiple Responses
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Topics: Calibration, Uncertainty, Computer simulation, Engineering simulation, Simulation, Approximation, Complex systems, Design, Physics, Simulation models
Proceedings Papers

Updating Predictive Models: Calibration, Bias Correction and Identifiability

Paul D. Arendt, Wei Chen, Daniel W. Apley
Proc. ASME. IDETC-CIE2010, Volume 1: 36th Design Automation Conference, Parts A and B, 1089-1098, August 15–18, 2010
Publisher: American Society of Mechanical Engineers
Paper No: DETC2010-28828
https://doi.org/10.1115/DETC2010-28828
View Paper titled, Updating Predictive Models: Calibration, Bias Correction and Identifiability
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Topics: Calibration, Uncertainty, Computers, Computer simulation, Design, Engineering simulation, Model validation, Physics, Simulation