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Journal Articles

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

Weifei Hu, Feng Zhao, Xiaoyu Deng, Feiyun Cong, Jianwei Wu, Zhenyu Liu, Jianrong Tan

Publisher: ASME

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

Topics: Errors, Metamodeling, Sampling methods, Design, Experimental design, Entropy

Journal Articles

Multifidelity Algorithm for the Sensitivity Analysis of Multidisciplinary Problems

Vincent Drouet, Mathieu Balesdent, Loïc Brevault, Sylvain Dubreuil, Jérôme Morio

Publisher: ASME

J. Mech. Des. July 2023, 145(7): 071703.

Paper No: MD-22-1418

https://doi.org/10.1115/1.4062332

Published Online: May 17, 2023

View Article titled, Multifidelity Algorithm for the Sensitivity Analysis of Multidisciplinary Problems

Topics: Algorithms, Computation, Engineering disciplines, Sensitivity analysis, Experimental design, Errors

Includes: Supplementary data

Journal Articles

Design and Analysis of Multifidelity Finite Element Simulations

Henry Shaowu Yuchi, V. Roshan Joseph, C. F. Jeff Wu

Publisher: ASME

J. Mech. Des. June 2023, 145(6): 061703.

Paper No: MD-22-1200

https://doi.org/10.1115/1.4056874

Published Online: March 15, 2023

View Article titled, Design and Analysis of Multifidelity Finite Element Simulations

Topics: Design, Experimental design, Finite element analysis, Modeling, Simulation, Engineering simulation, Deflection, Cantilever beams

Journal Articles

Reinforcement Learning-Based Sequential Batch-Sampling for Bayesian Optimal Experimental Design

Yonatan Ashenafi, Piyush Pandita, Sayan Ghosh

Publisher: ASME

J. Mech. Des. September 2022, 144(9): 091705.

Paper No: MD-21-1780

https://doi.org/10.1115/1.4054631

Published Online: June 13, 2022

View Article titled, Reinforcement Learning-Based Sequential Batch-Sampling for Bayesian Optimal Experimental Design

Topics: Algorithms, Design, Experimental design, Optimization, Airfoils, Reinforcement learning

Journal Articles

On the Ensemble of Surrogate Models by Minimum Screening Index

Shuai Zhang, Yong Pang, Pengwei Liang, Xueguan Song

Publisher: ASME

J. Mech. Des. July 2022, 144(7): 071707.

Paper No: MD-21-1738

https://doi.org/10.1115/1.4054243

Published Online: May 27, 2022

View Article titled, On the Ensemble of Surrogate Models by Minimum Screening Index

Topics: Design, Errors, Robustness, Weight (Mass), Reliability, Valves, Engineering systems and industry applications, Experimental design

Journal Articles

Discussion: “Bayesian Optimal Design of Experiments for Inferring the Statistical Expectation of Expensive Black-Box Functions” (Pandita, P., Bilionis, I., and Panchal, J., 2019, ASME J. Mech. Des., 141(10), p. 101404)

Xianliang Gong, Yulin Pan

Publisher: ASME

J. Mech. Des. May 2022, 144(5): 055501.

Paper No: MD-21-1399

https://doi.org/10.1115/1.4053112

Published Online: December 17, 2021

View Article titled, Discussion: “Bayesian Optimal Design of Experiments for Inferring the Statistical Expectation of Expensive Black-Box Functions” (Pandita, P., Bilionis, I., and Panchal, J., 2019, ASME J. Mech. Des., 141(10), p. 101404)

Topics: Computation, Experimental design

Journal Articles

A Sequential Sampling Generation Method for Multi-Fidelity Model Based on Voronoi Region and Sample Density

Yin Liu, Kunpeng Li, Shuo Wang, Peng Cui, Xueguan Song, Wei Sun

Publisher: ASME

J. Mech. Des. December 2021, 143(12): 121702.

Paper No: MD-21-1034

https://doi.org/10.1115/1.4051014

Published Online: June 9, 2021

View Article titled, A Sequential Sampling Generation Method for Multi-Fidelity Model Based on Voronoi Region and Sample Density

Topics: Density, Design, Experimental design, Optimization, Errors

Journal Articles

Investigation of Printing Parameters of Additive Manufacturing Process for Sustainability Using Design of Experiments

Marwan Khalid, Qingjin Peng

Publisher: ASME

J. Mech. Des. March 2021, 143(3): 032001.

Paper No: MD-20-1403

https://doi.org/10.1115/1.4049521

Published Online: January 27, 2021

View Article titled, Investigation of Printing Parameters of Additive Manufacturing Process for Sustainability Using Design of Experiments

Topics: Additive manufacturing, Energy consumption, Experimental design, Printing, Sustainability, Weight (Mass), Design, Shells, Modeling

Journal Articles

Manipulating Users’ Trust of Autonomous Products With Affective Priming

Ting Liao, Erin F. MacDonald

Publisher: ASME

J. Mech. Des. May 2021, 143(5): 051402.

Paper No: MD-20-1263

https://doi.org/10.1115/1.4048640

Published Online: November 17, 2020

View Article titled, Manipulating Users’ Trust of Autonomous Products With Affective Priming

Topics: Design, Echoes, Machinery, Education, Uncertainty, Experimental design

Journal Articles

Multi-Fidelity Surrogate Model Based on Canonical Correlation Analysis and Least Squares

Liye Lv, Chaoyong Zong, Chao Zhang, Xueguan Song, Wei Sun

Publisher: ASME

J. Mech. Des. February 2021, 143(2): 021705.

Paper No: MD-19-1886

https://doi.org/10.1115/1.4047686

Published Online: September 17, 2020

View Article titled, Multi-Fidelity Surrogate Model Based on Canonical Correlation Analysis and Least Squares

Topics: Construction, Errors, Experimental design, Robustness, Simulation, Testing, Design, Optimization, Computational fluid dynamics, Dimensions

Journal Articles

An Efficient Batch K -Fold Cross-Validation Voronoi Adaptive Sampling Technique for Global Surrogate Modeling

Andrew L. Kaminsky, Yi Wang, Kapil Pant

Publisher: ASME

J. Mech. Des. January 2021, 143(1): 011706.

Paper No: MD-19-1928

https://doi.org/10.1115/1.4047155

Published Online: August 11, 2020

View Article titled, An Efficient Batch K -Fold Cross-Validation Voronoi Adaptive Sampling Technique for Global Surrogate Modeling

Topics: Dimensions, Errors, Modeling, Sampling methods, Experimental design

Journal Articles

Conducting Non-adaptive Experiments in a Live Setting: A Bayesian Approach to Determining Optimal Sample Size

Nandan Sudarsanam, Ramya Chandran, Daniel D. Frey

Publisher: ASME

J. Mech. Des. March 2020, 142(3): 031108.

Paper No: MD-19-1410

https://doi.org/10.1115/1.4045603

Published Online: December 23, 2019

View Article titled, Conducting Non-adaptive Experiments in a Live Setting: A Bayesian Approach to Determining Optimal Sample Size

Topics: Algorithms, Design, Design theory, Experimental design, Machine learning, Modeling, Noise (Sound), Optimization, Probability, Resource allocation

Journal Articles

Evolutionary Multi-Objective Optimization Under Uncertainty Through Adaptive Kriging in Augmented Input Space

J. Zhang, A. A. Taflanidis

Publisher: ASME

J. Mech. Des. January 2020, 142(1): 011404.

Paper No: MD-19-1068

https://doi.org/10.1115/1.4044005

Published Online: October 3, 2019

View Article titled, Evolutionary Multi-Objective Optimization Under Uncertainty Through Adaptive Kriging in Augmented Input Space

Topics: Density, Design, Experimental design, Mobile offshore drilling units, Optimization, Algorithms, Uncertainty, Design under uncertainty

Journal Articles

Bayesian Optimal Design of Experiments for Inferring the Statistical Expectation of Expensive Black-Box Functions

Piyush Pandita, Ilias Bilionis, Jitesh Panchal

Publisher: ASME

J. Mech. Des. October 2019, 141(10): 101404.

Paper No: MD-18-1592

https://doi.org/10.1115/1.4043930

Published Online: July 10, 2019

View Article titled, Bayesian Optimal Design of Experiments for Inferring the Statistical Expectation of Expensive Black-Box Functions

Topics: Design, Experimental design, Uncertainty, Steel, Algorithms, Wire, Optimization

Journal Articles

Is More Less? Benefits and Costs of High-Variety Production in Nonassembled Manufacturing

Rianne E. Laureijs, Erica R. H. Fuchs, Kate S. Whitefoot

Publisher: ASME

J. Mech. Des. June 2019, 141(6): 061703.

Paper No: MD-18-1329

https://doi.org/10.1115/1.4041943

Published Online: April 26, 2019

View Article titled, Is More Less? Benefits and Costs of High-Variety Production in Nonassembled Manufacturing

Topics: Design, Experimental design, Manufacturing, Modeling, Product design, Tooling, Weight (Mass), Assembly lines, Data collection, Geometry

Includes: Supplementary data

Journal Articles

On the Use of Symmetries in Building Surrogate Models

M. Giselle Fernández-Godino, S. Balachandar, Raphael T. Haftka

Publisher: ASME

J. Mech. Des. June 2019, 141(6): 061402.

Paper No: MD-18-1359

https://doi.org/10.1115/1.4042047

Published Online: January 31, 2019

View Article titled, On the Use of Symmetries in Building Surrogate Models

Topics: Approximation, Errors, Experimental design, Simulation

Journal Articles

An Advanced and Robust Ensemble Surrogate Model: Extended Adaptive Hybrid Functions

Xueguan Song, Liye Lv, Jieling Li, Wei Sun, Jie Zhang

Publisher: ASME

J. Mech. Des. April 2018, 140(4): 041402.

Paper No: MD-17-1144

https://doi.org/10.1115/1.4039128

Published Online: February 27, 2018

View Article titled, An Advanced and Robust Ensemble Surrogate Model: Extended Adaptive Hybrid Functions

Topics: Errors, Robustness, Weight (Mass), Experimental design, Design, Filters, Modeling

Journal Articles

Reliability Analysis in the Presence of Aleatory and Epistemic Uncertainties, Application to the Prediction of a Launch Vehicle Fallout Zone

Loïc Brevault, Sylvain Lacaze, Mathieu Balesdent, Samy Missoum

Publisher: ASME

J. Mech. Des. November 2016, 138(11): 111401.

Paper No: MD-16-1123

https://doi.org/10.1115/1.4034106

Published Online: September 12, 2016

View Article titled, Reliability Analysis in the Presence of Aleatory and Epistemic Uncertainties, Application to the Prediction of a Launch Vehicle Fallout Zone

Topics: Event history analysis, Failure, Probability, Simulation, Uncertainty, Vehicles, Optimization, Ceramic matrix composites, Experimental design

Journal Articles

An Evaluation Methodology for Design Concept Communication Using Digital Prototypes

Soheil Arastehfar, Ying Liu, Wen Feng Lu

Publisher: ASME

J. Mech. Des. March 2016, 138(3): 031103.

Paper No: MD-15-1330

https://doi.org/10.1115/1.4032396

Published Online: February 1, 2016

View Article titled, An Evaluation Methodology for Design Concept Communication Using Digital Prototypes

Topics: Design, Dimensions, Engineering prototypes, Feedback, Experimental design, Vickers hardness testing, Rendering

Journal Articles

An Adaptive Bayesian Sequential Sampling Approach for Global Metamodeling

Haitao Liu, Shengli Xu, Ying Ma, Xudong Chen, Xiaofang Wang

Publisher: ASME

J. Mech. Des. January 2016, 138(1): 011404.

Paper No: MD-15-1042

https://doi.org/10.1115/1.4031905

Published Online: November 16, 2015

View Article titled, An Adaptive Bayesian Sequential Sampling Approach for Global Metamodeling

Topics: Design, Errors, Robots, Computer simulation, Entropy, Simulation, Simulation models, Experimental design

Journal citation

NARROW

Supplemental Material

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

Multifidelity Algorithm for the Sensitivity Analysis of Multidisciplinary Problems

Design and Analysis of Multifidelity Finite Element Simulations

Reinforcement Learning-Based Sequential Batch-Sampling for Bayesian Optimal Experimental Design

On the Ensemble of Surrogate Models by Minimum Screening Index

Discussion: “Bayesian Optimal Design of Experiments for Inferring the Statistical Expectation of Expensive Black-Box Functions” (Pandita, P., Bilionis, I., and Panchal, J., 2019, ASME J. Mech. Des., 141(10), p. 101404)

A Sequential Sampling Generation Method for Multi-Fidelity Model Based on Voronoi Region and Sample Density

Investigation of Printing Parameters of Additive Manufacturing Process for Sustainability Using Design of Experiments

Manipulating Users’ Trust of Autonomous Products With Affective Priming

Multi-Fidelity Surrogate Model Based on Canonical Correlation Analysis and Least Squares

An Efficient Batch K -Fold Cross-Validation Voronoi Adaptive Sampling Technique for Global Surrogate Modeling

Conducting Non-adaptive Experiments in a Live Setting: A Bayesian Approach to Determining Optimal Sample Size

Evolutionary Multi-Objective Optimization Under Uncertainty Through Adaptive Kriging in Augmented Input Space

Bayesian Optimal Design of Experiments for Inferring the Statistical Expectation of Expensive Black-Box Functions

Is More Less? Benefits and Costs of High-Variety Production in Nonassembled Manufacturing

On the Use of Symmetries in Building Surrogate Models

An Advanced and Robust Ensemble Surrogate Model: Extended Adaptive Hybrid Functions

Reliability Analysis in the Presence of Aleatory and Epistemic Uncertainties, Application to the Prediction of a Launch Vehicle Fallout Zone

An Evaluation Methodology for Design Concept Communication Using Digital Prototypes

An Adaptive Bayesian Sequential Sampling Approach for Global Metamodeling

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