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Proceedings Papers

Research on Crack Resistance of Nuclear Grade Nickel-Based Alloy Welding Materials

Ying Ao, Changzheng Xu, Guo He, Zhanpeng Lv, Ping Zhu, Maolong Zhang, Jiasheng Zou
Proc. ASME. ICONE29, Volume 10: Advanced Methods of Manufacturing for Nuclear Reactors and Components, V010T10A004, August 8–12, 2022
Publisher: American Society of Mechanical Engineers
Paper No: ICONE29-89321
https://doi.org/10.1115/ICONE29-89321
View Paper titled, Research on Crack Resistance of Nuclear Grade Nickel-Based Alloy Welding Materials
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Topics: Alloys, Crystals, Ductility, Fracture (Materials), Fracture (Process), Nickel, Stress corrosion cracking, Welding
Proceedings Papers

Data-Driven Design via Scalable Gaussian Processes for Multi-Response Big Data With Qualitative Factors

Liwei Wang, Suraj Yerramilli, Akshay Iyer, Daniel Apley, Ping Zhu, Wei Chen
Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A018, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-71570
https://doi.org/10.1115/DETC2021-71570
View Paper titled, Data-Driven Design via Scalable Gaussian Processes for Multi-Response Big Data With Qualitative Factors
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Topics: Data-driven design, Design, Metamodeling, Optimization, Topology, Machine learning, Architecture, Blocks (Building materials), Compliant mechanisms, Metamaterials
Proceedings Papers

Global Sensitivity Analysis for Field Response Based on the Manifold of Feature Covariance Matrix

Zhouzhou Song, Zhao Liu, Can Xu, Ping Zhu
Proc. ASME. IDETC-CIE2021, Volume 3B: 47th Design Automation Conference (DAC), V03BT03A010, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-69086
https://doi.org/10.1115/DETC2021-69086
View Paper titled, Global Sensitivity Analysis for Field Response Based on the Manifold of Feature Covariance Matrix
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Topics: Manifolds, Sensitivity analysis
Journal Articles

Scalable Gaussian Processes for Data-Driven Design Using Big Data With Categorical Factors

Liwei Wang, Suraj Yerramilli, Akshay Iyer, Daniel Apley, Ping Zhu, Wei Chen
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. February 2022, 144(2): 021703.
Paper No: MD-21-1235
https://doi.org/10.1115/1.4052221
Published Online: September 15, 2021
View Article titled, Scalable Gaussian Processes for Data-Driven Design Using Big Data With Categorical Factors
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Topics: Data-driven design, Design, Machine learning, Metamaterials, Modeling, Optimization
Journal Articles

Sequential Sampling Framework for Metamodeling Uncertainty Reduction in Multilevel Optimization of Hierarchical Systems

Can Xu, Ping Zhu, Zhao Liu
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. October 2021, 143(10): 101701.
Paper No: MD-20-1657
https://doi.org/10.1115/1.4050654
Published Online: April 9, 2021
View Article titled, Sequential Sampling Framework for Metamodeling Uncertainty Reduction in Multilevel Optimization of Hierarchical Systems
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Topics: Design, Metamodeling, Optimization, Uncertainty
Journal Articles

Data-Driven Topology Optimization With Multiclass Microstructures Using Latent Variable Gaussian Process

Liwei Wang, Siyu Tao, Ping Zhu, Wei Chen
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. March 2021, 143(3): 031708.
Paper No: MD-20-1410
https://doi.org/10.1115/1.4048628
Published Online: November 13, 2020
View Article titled, Data-Driven Topology Optimization With Multiclass Microstructures Using Latent Variable Gaussian Process
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Topics: Design, Modeling, Optimization, Topology, Stiffness
Proceedings Papers

Data-Driven Multiscale Topology Optimization Using Multi-Response Latent Variable Gaussian Process

Liwei Wang, Siyu Tao, Ping Zhu, Wei Chen
Proc. ASME. IDETC-CIE2020, Volume 11A: 46th Design Automation Conference (DAC), V11AT11A057, August 17–19, 2020
Publisher: American Society of Mechanical Engineers
Paper No: DETC2020-22595
https://doi.org/10.1115/DETC2020-22595
View Paper titled, Data-Driven Multiscale Topology Optimization Using Multi-Response Latent Variable Gaussian Process
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Topics: Design, Optimization, Topology
Proceedings Papers

Uncertainty-Based Multidisciplinary Design Optimization for Feedback-Coupled Systems Under Both Parametric and Metamodeling Uncertainties

Zhao Liu, Zhouzhou Song, Ping Zhu, Can Xu
Proc. ASME. IDETC-CIE2020, Volume 11B: 46th Design Automation Conference (DAC), V11BT11A041, August 17–19, 2020
Publisher: American Society of Mechanical Engineers
Paper No: DETC2020-22161
https://doi.org/10.1115/DETC2020-22161
View Paper titled, Uncertainty-Based Multidisciplinary Design Optimization for Feedback-Coupled Systems Under Both Parametric and Metamodeling Uncertainties
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Topics: Chaos, Design, Feedback, Optimization, Polynomials, Uncertainty
Journal Articles

Mapping-Based Hierarchical Sensitivity Analysis for Multilevel Systems With Multidimensional Correlations

Can Xu, Ping Zhu, Zhao Liu, Wei Tao
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. January 2021, 143(1): 011707.
Paper No: MD-20-1030
https://doi.org/10.1115/1.4047689
Published Online: August 13, 2020
View Article titled, Mapping-Based Hierarchical Sensitivity Analysis for Multilevel Systems With Multidimensional Correlations
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Topics: Chaos, Modeling, Polynomials, Sensitivity analysis, Composite materials, Uncertainty
Proceedings Papers

Gaussian Process Emulation for Big Data in Data-Driven Metamaterials Design

Ramin Bostanabad, Yu-Chin Chan, Liwei Wang, Ping Zhu, Wei Chen
Proc. ASME. IDETC-CIE2019, Volume 2A: 45th Design Automation Conference, V02AT03A006, August 18–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DETC2019-98027
https://doi.org/10.1115/DETC2019-98027
View Paper titled, Gaussian Process Emulation for Big Data in Data-Driven Metamaterials Design
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Topics: Design, Metamaterials
Proceedings Papers

A Novel Hierarchical Framework for Uncertainty Analysis of Multiscale Systems Combined Vine Copula With Sparse PCE

Can Xu, Zhao Liu, Wei Tao, Ping Zhu
Proc. ASME. IDETC-CIE2019, Volume 2B: 45th Design Automation Conference, V02BT03A044, August 18–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DETC2019-97832
https://doi.org/10.1115/DETC2019-97832
View Paper titled, A Novel Hierarchical Framework for Uncertainty Analysis of Multiscale Systems Combined Vine Copula With Sparse PCE
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Topics: Chaos, Polynomials, Uncertainty analysis
Journal Articles

A Vine Copula-Based Hierarchical Framework for Multiscale Uncertainty Analysis

Can Xu, Zhao Liu, Wei Tao, Ping Zhu
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. March 2020, 142(3): 031101.
Paper No: MD-19-1392
https://doi.org/10.1115/1.4045177
Published Online: November 1, 2019
View Article titled, A Vine Copula-Based Hierarchical Framework for Multiscale Uncertainty Analysis
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Topics: Uncertainty, Uncertainty analysis, Polynomials, Modeling, Probability, Fittings
Journal Articles

Globally Approximate Gaussian Processes for Big Data With Application to Data-Driven Metamaterials Design

Ramin Bostanabad, Yu-Chin Chan, Liwei Wang, Ping Zhu, Wei Chen
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. November 2019, 141(11): 111402.
Paper No: MD-19-1164
https://doi.org/10.1115/1.4044257
Published Online: September 16, 2019
View Article titled, Globally Approximate Gaussian Processes for Big Data With Application to Data-Driven Metamaterials Design
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Topics: Design, Metamaterials, Modeling, Optimization, Dimensions, Databases, Shapes, Noise (Sound)
Proceedings Papers

Lightweight Design of Three-Dimensional Woven Composite Automobile Shock Tower

Wei Tao, Ping Zhu, Zhao Liu, Wei Chen
Proc. ASME. IDETC-CIE2018, Volume 3: 20th International Conference on Advanced Vehicle Technologies; 15th International Conference on Design Education, V003T01A021, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-85519
https://doi.org/10.1115/DETC2018-85519
View Paper titled, Lightweight Design of Three-Dimensional Woven Composite Automobile Shock Tower
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Topics: Automobiles, Design, Shock (Mechanics), Woven composites, Optimization, Algorithms, Composite materials, Elasticity, Mechanical behavior, Modeling
Proceedings Papers

Investigation of Sessile Droplet Wetting, Dynamics and Evaporation on Micro-Structured Substrates

Gui-Ping Zhu, Kian-Soo Ong, Karen Siew-Ling Chong, Hu-Lin Huang, Fei Duan
Proc. ASME. MNHMT2016, Volume 1: Micro/Nanofluidics and Lab-on-a-Chip; Nanofluids; Micro/Nanoscale Interfacial Transport Phenomena; Micro/Nanoscale Boiling and Condensation Heat Transfer; Micro/Nanoscale Thermal Radiation; Micro/Nanoscale Energy Devices and Systems, V001T01A003, January 4–6, 2016
Publisher: American Society of Mechanical Engineers
Paper No: MNHMT2016-6446
https://doi.org/10.1115/MNHMT2016-6446
View Paper titled, Investigation of Sessile Droplet Wetting, Dynamics and Evaporation on Micro-Structured Substrates
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Topics: Drops, Dynamics (Mechanics), Evaporation, Wetting, Columns (Structural), Diamonds, Shapes, Water, Ethanol, Nanoparticles
Proceedings Papers

Simulation of an Advanced Twin-Spool Industrial Gas Turbine

Ping Zhu, H. I. H. Saravanamuttoo
Proc. ASME. GT1991, Volume 3: Coal, Biomass and Alternative Fuels; Combustion and Fuels; Oil and Gas Applications; Cycle Innovations, V003T07A001, June 3–6, 1991
Publisher: American Society of Mechanical Engineers
Paper No: 91-GT-034
https://doi.org/10.1115/91-GT-034
View Paper titled, Simulation of an Advanced Twin-Spool Industrial Gas Turbine
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Topics: Industrial gases, Simulation, Turbines, Design, Compressors, Gas turbines, Pipelines, Sales
Journal Articles

An Adaptive Response Surface Method Using Bayesian Metric and Model Bias Correction Function

Lei Shi, Ren-Jye Yang, Ping Zhu
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research-Article
J. Mech. Des. March 2014, 136(3): 031005.
Paper No: MD-13-1043
https://doi.org/10.1115/1.4026095
Published Online: January 10, 2014
View Article titled, An Adaptive Response Surface Method Using Bayesian Metric and Model Bias Correction Function
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Topics: Response surface methodology, Uncertainty, Algorithms
Proceedings Papers

Transport of Magnetic Particles Under a Uniform Magnetic Field in Microchannels

Gui-Ping Zhu, Nam-Trung Nguyen
Proc. ASME. ICNMM2013, ASME 2013 11th International Conference on Nanochannels, Microchannels, and Minichannels, V001T10A002, June 16–19, 2013
Publisher: American Society of Mechanical Engineers
Paper No: ICNMM2013-73047
https://doi.org/10.1115/ICNMM2013-73047
View Paper titled, Transport of Magnetic Particles Under a Uniform Magnetic Field in Microchannels
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Topics: Magnetic fields, Magnetic particles, Microchannels, Magnetic induction, Flow (Dynamics), Fluids, Water, Diffusion (Physics), Ferrofluids, Heat
Proceedings Papers

Extended Objective-Oriented Sequential Sampling Method for Robust Design of Complex Systems Against Design Uncertainty

Siliang Zhang, Ping Zhu, Paul D. Arendt, Wei Chen
Proc. ASME. IDETC-CIE2012, Volume 2: 32nd Computers and Information in Engineering Conference, Parts A and B, 1237-1246, August 12–15, 2012
Publisher: American Society of Mechanical Engineers
Paper No: DETC2012-70799
https://doi.org/10.1115/DETC2012-70799
View Paper titled, Extended Objective-Oriented Sequential Sampling Method for Robust Design of Complex Systems Against Design Uncertainty
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Topics: Complex systems, Crashworthiness, Design, Design under uncertainty, Sampling methods
Proceedings Papers

On the Efficiency of Oscillating Water Column (OWC) Devices in Converting Ocean Wave Energy to Electricity Under Weakly Nonlinear Waves

Jean-Roch Nader, Song-Ping Zhu, Paul Cooper
Proc. ASME. OMAE2012, Volume 7: Ocean Space Utilization; Ocean Renewable Energy, 659-666, July 1–6, 2012
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2012-84271
https://doi.org/10.1115/OMAE2012-84271
View Paper titled, On the Efficiency of Oscillating Water Column (OWC) Devices in Converting Ocean Wave Energy to Electricity Under Weakly Nonlinear Waves
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Topics: Nonlinear waves, Water, Wave energy, Waves