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Proceedings Papers

Phononic Metamaterial Design via Transfer Learning-Based Topology Optimization Framework

Zihan Wang, Ran Zhuang, Weikang Xian, Jiawei Tian, Ying Li, Shikui Chen, Hongyi Xu

Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A048, August 14–17, 2022

Paper No: DETC2022-89932

DOI: https://doi.org/10.1115/DETC2022-89932

View Paper titled, Phononic Metamaterial Design via Transfer Learning-Based Topology Optimization Framework

Topics: Design, Energy gap, Metamaterials, Optimization, Topology

Journal Articles

Design of Phononic Bandgap Metamaterials Based on Gaussian Mixture Beta Variational Autoencoder and Iterative Model Updating

Zihan Wang, Weikang Xian, M. Ridha Baccouche, Horst Lanzerath, Ying Li, Hongyi Xu

J. Mech. Des. April 2022, 144(4): 041705.

Paper No: MD-21-1373

DOI: https://doi.org/10.1115/1.4053814

Published Online: February 22, 2022

View Article titled, Design of Phononic Bandgap Metamaterials Based on Gaussian Mixture Beta Variational Autoencoder and Iterative Model Updating

Topics: Design, Energy gap, Metamaterials, Optimization

Proceedings Papers

A Gaussian Mixture Variational Autoencoder-Based Approach for Designing Phononic Bandgap Metamaterials

Zihan Wang, Weikang Xian, M. Ridha Baccouche, Horst Lanzerath, Ying Li, Hongyi Xu

Proc. ASME. IDETC-CIE2021, Volume 3B: 47th Design Automation Conference (DAC), V03BT03A002, August 17–19, 2021

Paper No: DETC2021-67629

DOI: https://doi.org/10.1115/DETC2021-67629

View Paper titled, A Gaussian Mixture Variational Autoencoder-Based Approach for Designing Phononic Bandgap Metamaterials

Topics: Design, Energy gap, Metamaterials, Optimization

Proceedings Papers

Generating Pseudo-Data to Enhance the Performance of Classification-Based Engineering Design: A Preliminary Investigation

Xianping Du, Onur Bilgen, Hongyi Xu

Proc. ASME. IMECE2020, Volume 6: Design, Systems, and Complexity, V006T06A012, November 16–19, 2020

Paper No: IMECE2020-24634

DOI: https://doi.org/10.1115/IMECE2020-24634

View Paper titled, Generating Pseudo-Data to Enhance the Performance of Classification-Based Engineering Design: A Preliminary Investigation

Topics: Engineering design, Design, Machine learning, Engineering simulation, Simulation, Decision making, Errors, Finite element analysis, Uncertainty, Vehicles

Journal Articles

Quantitative Representation of Aleatoric Uncertainties in Network-Like Topological Structural Systems

Zihan Wang, Hongyi Xu

J. Mech. Des. March 2021, 143(3): 031713.

Paper No: MD-20-1545

DOI: https://doi.org/10.1115/1.4049522

Published Online: January 29, 2021

View Article titled, Quantitative Representation of Aleatoric Uncertainties in Network-Like Topological Structural Systems

Topics: Topology, Uncertainty, Stochastic processes, Simulation

Proceedings Papers

Quantification of Uncertainties Distributed in Network-Like Systems

Zihan Wang, Hongyi Xu

Proc. ASME. IDETC-CIE2020, Volume 11A: 46th Design Automation Conference (DAC), V11AT11A048, August 17–19, 2020

Paper No: DETC2020-22082

DOI: https://doi.org/10.1115/DETC2020-22082

View Paper titled, Quantification of Uncertainties Distributed in Network-Like Systems

Topics: Simulation, Uncertainty, Uncertainty quantification, Additive manufacturing, Engineering systems and industry applications, Gaussian distribution, Heat conduction, Metamaterials, Stochastic processes

Proceedings Papers

Material Model Calibration by Deep Learning for Additively Manufactured Alloys

Zihan Wang, Hongyi Xu, Yang Li

Proc. ASME. ISFA2020, 2020 International Symposium on Flexible Automation, V001T07A007, July 8–9, 2020

Paper No: ISFA2020-9640

DOI: https://doi.org/10.1115/ISFA2020-9640

View Paper titled, Material Model Calibration by Deep Learning for Additively Manufactured Alloys

Topics: Additive manufacturing, Alloys, Calibration, Machine learning

Journal Articles

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

Hongyi Xu

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

Paper No: MD-19-1674

DOI: 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

Control Variate Multifidelity Estimators for the Variance and Sensitivity Analysis of Mesostructure–Structure Systems

Hongyi Xu, Zhao Liu

ASME J. Risk Uncertainty Part B. June 2019, 5(2): 020907.

Paper No: RISK-18-1053

DOI: https://doi.org/10.1115/1.4042835

Published Online: April 15, 2019

View Article titled, Control Variate Multifidelity Estimators for the Variance and Sensitivity Analysis of Mesostructure–Structure Systems

Topics: Design, Sensitivity analysis

Proceedings Papers

Multi-Material Topology Optimization of Structures Infilled With Conformal Metamaterials

Panagiotis Vogiatzis, Shikui Chen, Xianfeng David Gu, Ching-Hung Chuang, Hongyi Xu, Na Lei

Proc. ASME. IDETC-CIE2018, Volume 2B: 44th Design Automation Conference, V02BT03A009, August 26–29, 2018

Paper No: DETC2018-85663

DOI: https://doi.org/10.1115/DETC2018-85663

View Paper titled, Multi-Material Topology Optimization of Structures Infilled With Conformal Metamaterials

Topics: Metamaterials, Optimization, Topology, Design, Shapes, Structural elements (Construction)

Journal Articles

A Structural Equation Modeling-Based Strategy for Design Optimization of Multilayer Composite Structural Systems

Junqi Yang, Hongyi Xu, Zhenfei Zhan, Ching-Hung Chuang

J. Mech. Des. November 2018, 140(11): 111407.

Paper No: MD-18-1226

DOI: https://doi.org/10.1115/1.4040984

Published Online: September 7, 2018

View Article titled, A Structural Equation Modeling-Based Strategy for Design Optimization of Multilayer Composite Structural Systems

Topics: Composite materials, Design, Optimization, Modeling

Proceedings Papers

Study of the Design Representation Methods for the Optimization of Multi-Layer Composite Structures

Hongyi Xu, Junqi Yang, Ching-Hung Chuang, Zhenfei Zhan

Proc. ASME. IDETC-CIE2017, Volume 2B: 43rd Design Automation Conference, V02BT03A002, August 6–9, 2017

Paper No: DETC2017-67309

DOI: https://doi.org/10.1115/DETC2017-67309

View Paper titled, Study of the Design Representation Methods for the Optimization of Multi-Layer Composite Structures

Topics: Composite materials, Design, Optimization, Switches

Proceedings Papers

Mixed-Variable Metamodeling Methods for Designing Multi-Material Structures

Hongyi Xu, Ching-Hung Chuang, Ren-Jye Yang

Proc. ASME. IDETC-CIE2016, Volume 2B: 42nd Design Automation Conference, V02BT03A021, August 21–24, 2016

Paper No: DETC2016-59176

DOI: https://doi.org/10.1115/DETC2016-59176

View Paper titled, Mixed-Variable Metamodeling Methods for Designing Multi-Material Structures

Topics: Design, Artificial neural networks, Errors, Optimization, Polynomials, Structural design

Proceedings Papers

Model Bias Characterization Considering Discrete and Continuous Design Variables

Xiangxue Zhao, Zhimin Xi, Hongyi Xu, Ren-Jye Yang

Proc. ASME. IDETC-CIE2016, Volume 2B: 42nd Design Automation Conference, V02BT03A053, August 21–24, 2016

Paper No: DETC2016-60109

DOI: https://doi.org/10.1115/DETC2016-60109

View Paper titled, Model Bias Characterization Considering Discrete and Continuous Design Variables

Topics: Design, Modeling, Errors, Regression models, Approximation, Simulation models

Proceedings Papers

Improving Multiobjective Multidisciplinary Optimization With a Data Mining-Based Hybrid Method

Hongyi Xu, Ching-Hung Chuang, Ren-Jye Yang

Proc. ASME. IDETC-CIE2015, Volume 2B: 41st Design Automation Conference, V02BT03A029, August 2–5, 2015

Paper No: DETC2015-47361

DOI: https://doi.org/10.1115/DETC2015-47361

View Paper titled, Improving Multiobjective Multidisciplinary Optimization With a Data Mining-Based Hybrid Method

Topics: Mining, Optimization, Design, Algorithms, Chaos, Complex systems, Optimization algorithms, Probability, Product design, Vehicles

Journal Articles

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

Hongyi Xu, Zhen Jiang, Daniel W. Apley, Wei Chen

J. Verif. Valid. Uncert. June 2016, 1(2): 021002.

Paper No: VVUQ-14-1007

DOI: 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

Topics: Stochastic processes, Uncertainty quantification

Journal Articles

A Machine Learning-Based Design Representation Method for Designing Heterogeneous Microstructures

Hongyi Xu, Ruoqian Liu, Alok Choudhary, Wei Chen

J. Mech. Des. May 2015, 137(5): 051403.

Paper No: MD-14-1507

DOI: https://doi.org/10.1115/1.4029768

Published Online: May 1, 2015

View Article titled, A Machine Learning-Based Design Representation Method for Designing Heterogeneous Microstructures

Topics: Design, Machinery, Fillers (Materials), Polymer nanocomposites

Proceedings Papers

A Machine Learning-Based Design Representation Method for Designing Heterogeneous Microstructures

Hongyi Xu, Ruoqian Liu, Alok Choudhary, Wei Chen

Proc. ASME. IDETC-CIE2014, Volume 2B: 40th Design Automation Conference, V02BT03A009, August 17–20, 2014

Paper No: DETC2014-34570

DOI: https://doi.org/10.1115/DETC2014-34570

View Paper titled, A Machine Learning-Based Design Representation Method for Designing Heterogeneous Microstructures

Topics: Design, Machinery, Dimensions, Materials properties, Optimization, Polymer nanocomposites

Journal Articles

A Descriptor-Based Design Methodology for Developing Heterogeneous Microstructural Materials System

Hongyi Xu, Yang Li, Catherine Brinson, Wei Chen

J. Mech. Des. May 2014, 136(5): 051007.

Paper No: MD-13-1306

DOI: https://doi.org/10.1115/1.4026649

Published Online: March 21, 2014

View Article titled, A Descriptor-Based Design Methodology for Developing Heterogeneous Microstructural Materials System

Topics: Design, Optimization, Materials properties, Polymer nanocomposites, Algorithms

Proceedings Papers

Descriptor-Based Methodology for Designing Heterogeneous Microstructural Materials System

Hongyi Xu, Yang Li, Catherine Brinson, Wei Chen

Proc. ASME. IDETC-CIE2013, Volume 3A: 39th Design Automation Conference, V03AT03A049, August 4–7, 2013

Paper No: DETC2013-12232

DOI: https://doi.org/10.1115/DETC2013-12232

View Paper titled, Descriptor-Based Methodology for Designing Heterogeneous Microstructural Materials System

Topics: Design, Polymer nanocomposites

Journal citation

NARROW

Phononic Metamaterial Design via Transfer Learning-Based Topology Optimization Framework

Design of Phononic Bandgap Metamaterials Based on Gaussian Mixture Beta Variational Autoencoder and Iterative Model Updating

A Gaussian Mixture Variational Autoencoder-Based Approach for Designing Phononic Bandgap Metamaterials

Generating Pseudo-Data to Enhance the Performance of Classification-Based Engineering Design: A Preliminary Investigation

Quantitative Representation of Aleatoric Uncertainties in Network-Like Topological Structural Systems

Quantification of Uncertainties Distributed in Network-Like Systems

Material Model Calibration by Deep Learning for Additively Manufactured Alloys

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

Control Variate Multifidelity Estimators for the Variance and Sensitivity Analysis of Mesostructure–Structure Systems

Multi-Material Topology Optimization of Structures Infilled With Conformal Metamaterials

A Structural Equation Modeling-Based Strategy for Design Optimization of Multilayer Composite Structural Systems

Study of the Design Representation Methods for the Optimization of Multi-Layer Composite Structures

Mixed-Variable Metamodeling Methods for Designing Multi-Material Structures

Model Bias Characterization Considering Discrete and Continuous Design Variables

Improving Multiobjective Multidisciplinary Optimization With a Data Mining-Based Hybrid Method

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

A Machine Learning-Based Design Representation Method for Designing Heterogeneous Microstructures

A Machine Learning-Based Design Representation Method for Designing Heterogeneous Microstructures

A Descriptor-Based Design Methodology for Developing Heterogeneous Microstructural Materials System

Descriptor-Based Methodology for Designing Heterogeneous Microstructural Materials System

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