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Journal Articles

Designing Connectivity-Guaranteed Porous Metamaterial Units Using Generative Graph Neural Networks

Zihan Wang, Austin Bray, Kiarash Naghavi Khanghah, Hongyi Xu
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. February 2025, 147(2): 021706.
Paper No: MD-24-1409
https://doi.org/10.1115/1.4066128
Published Online: September 26, 2024
View Article titled, Designing Connectivity-Guaranteed Porous Metamaterial Units Using Generative Graph Neural Networks
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Topics: Design, Metamaterials, Voxel, Thermal conductivity, Graph neural networks
Journal Articles

Reconstruction and Generation of Porous Metamaterial Units via Variational Graph Autoencoder and Large Language Model

Accepted Manuscript
Kiarash Naghavi Khanghah, Zihan Wang, Hongyi Xu
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng.
Paper No: JCISE-24-1176
https://doi.org/10.1115/1.4066095
Published Online: July 31, 2024
View Article titled, Reconstruction and Generation of Porous Metamaterial Units via Variational Graph Autoencoder and Large Language Model
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Topics: Large language models, Metamaterials, Design, Artificial intelligence, Computer-aided design, Databases, Engineering systems and industry applications, Machine learning, Shape optimization, Topology
Proceedings Papers

Platform Hydrodynamic and Structural Control Co-Optimization for the Floating Offshore Wind Turbines

Jinbin Liang, Xianping Du, Jianbo Yi, Guowei Qian, Peng Xie, Hongyi Xu
Proc. ASME. IDETC-CIE2023, Volume 3A: 49th Design Automation Conference (DAC), V03AT03A004, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-117541
https://doi.org/10.1115/DETC2023-117541
View Paper titled, Platform Hydrodynamic and Structural Control Co-Optimization for the Floating Offshore Wind Turbines
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Topics: Dampers, Design, Floating wind turbines, Hydrodynamics, Optimization
Proceedings Papers

Design of Mixed-Category Stochastic Microstructures: A Comparison of Curvature Functional-Based and Deep Generative Model-Based Methods

Leidong Xu, Kiarash Naghavi Khanghah, Hongyi Xu
Proc. ASME. IDETC-CIE2023, Volume 3B: 49th Design Automation Conference (DAC), V03BT03A011, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-114601
https://doi.org/10.1115/DETC2023-114601
View Paper titled, Design of Mixed-Category Stochastic Microstructures: A Comparison of Curvature Functional-Based and Deep Generative Model-Based Methods
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Topics: Design
Journal Articles

Designing Mixed-Category Stochastic Microstructures by Deep Generative Model-Based and Curvature Functional-Based Methods

Leidong Xu, Kiarash Naghavi Khanghah, Hongyi Xu
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. April 2024, 146(4): 041702.
Paper No: MD-23-1394
https://doi.org/10.1115/1.4063824
Published Online: November 7, 2023
View Article titled, Designing Mixed-Category Stochastic Microstructures by Deep Generative Model-Based and Curvature Functional-Based Methods
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Topics: Design
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
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-89932
https://doi.org/10.1115/DETC2022-89932
View Paper titled, Phononic Metamaterial Design via Transfer Learning-Based Topology Optimization Framework
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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
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. April 2022, 144(4): 041705.
Paper No: MD-21-1373
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
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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
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-67629
https://doi.org/10.1115/DETC2021-67629
View Paper titled, A Gaussian Mixture Variational Autoencoder-Based Approach for Designing Phononic Bandgap Metamaterials
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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
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2020-24634
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
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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
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. March 2021, 143(3): 031713.
Paper No: MD-20-1545
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
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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
Publisher: American Society of Mechanical Engineers
Paper No: DETC2020-22082
https://doi.org/10.1115/DETC2020-22082
View Paper titled, Quantification of Uncertainties Distributed in Network-Like Systems
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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
Publisher: American Society of Mechanical Engineers
Paper No: ISFA2020-9640
https://doi.org/10.1115/ISFA2020-9640
View Paper titled, Material Model Calibration by Deep Learning for Additively Manufactured Alloys
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Topics: Additive manufacturing, Alloys, Calibration, Machine learning
eBook Chapter

A Multiscale Material Modeling Approach to Predict the Mechanical Properties of Powder Bed Fusion (PBF) Metal

Series: ASTM Selected Technical Papers
Publisher: ASTM International
Published: 2020
ISBN: 978-0-8031-7708-6
Open the PDF for A Multiscale Material Modeling Approach to Predict the Mechanical Properties of Powder Bed Fusion (PBF) Metal in another window
Journal Articles

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

Hongyi Xu
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Technical Briefs
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
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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
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. June 2019, 5(2): 020907.
Paper No: RISK-18-1053
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
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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
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-85663
https://doi.org/10.1115/DETC2018-85663
View Paper titled, Multi-Material Topology Optimization of Structures Infilled With Conformal Metamaterials
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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
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research-Article
J. Mech. Des. November 2018, 140(11): 111407.
Paper No: MD-18-1226
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
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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
Publisher: American Society of Mechanical Engineers
Paper No: DETC2017-67309
https://doi.org/10.1115/DETC2017-67309
View Paper titled, Study of the Design Representation Methods for the Optimization of Multi-Layer Composite Structures
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Topics: Composite materials, Design, Optimization, Switches
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
Publisher: American Society of Mechanical Engineers
Paper No: DETC2016-60109
https://doi.org/10.1115/DETC2016-60109
View Paper titled, Model Bias Characterization Considering Discrete and Continuous Design Variables
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Topics: Design, Modeling, Errors, Regression models, Approximation, Simulation models
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
Publisher: American Society of Mechanical Engineers
Paper No: DETC2016-59176
https://doi.org/10.1115/DETC2016-59176
View Paper titled, Mixed-Variable Metamodeling Methods for Designing Multi-Material Structures
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Topics: Design, Artificial neural networks, Errors, Optimization, Polynomials, Structural design