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Journal Articles

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

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Weifei Hu, Feng Zhao, Xiaoyu Deng, Feiyun Cong, Jianwei Wu, Zhenyu Liu, Jianrong Tan
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
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 Articletitled, A New Sequential Sampling Method for Surrogate Modeling Based on a Hybrid Metric
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Topics: Errors, Metamodeling, Sampling methods, Design, Experimental design, Entropy
Journal Articles

Net-HDMR Metamodeling Method for High-Dimensional Problems

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Jie Liu, Yue Zhao, Fei Lei, Fei Ding
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. September 2023, 145(9): 091706.
Paper No: MD-23-1128
https://doi.org/10.1115/1.4062669
Published Online: June 26, 2023
View Articletitled, Net-HDMR Metamodeling Method for High-Dimensional Problems
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Topics: Interpolation, Metamodeling, Modeling, Sampling methods, Splines, Approximation, Dimensions, Deformation, Construction
Journal Articles

AK-HMC-IS: A Novel Importance Sampling Method for Efficient Reliability Analysis Based on Active Kriging and Hybrid Monte Carlo Algorithm

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Gang Li, Long Jiang, Bin Lu, Wanxin He
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. November 2022, 144(11): 111705.
Paper No: MD-22-1087
https://doi.org/10.1115/1.4054994
Published Online: August 8, 2022
View Articletitled, AK-HMC-IS: A Novel Importance Sampling Method for Efficient Reliability Analysis Based on Active Kriging and Hybrid Monte Carlo Algorithm
Open the PDF for AK-HMC-IS: A Novel Importance Sampling Method for Efficient Reliability Analysis Based on Active Kriging and Hybrid Monte Carlo Algorithm in another window
Topics: Algorithms, Event history analysis, Failure, Probability, Sampling methods, Errors, Density
Journal Articles

A Subspace-Inclusive Sampling Method for the Computational Design of Compositionally Graded Alloys

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Marshall Allen, Tanner Kirk, Richard Malak, Raymundo Arroyave
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. April 2022, 144(4): 041704.
Paper No: MD-21-1420
https://doi.org/10.1115/1.4053629
Published Online: February 15, 2022
View Articletitled, A Subspace-Inclusive Sampling Method for the Computational Design of Compositionally Graded Alloys
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Topics: Additive manufacturing, Algorithms, Alloys, Design, Design methodology, Path planning, Sampling methods, Stainless steel, Nickel titanium alloys, Functionally graded materials
Journal Articles

Mode-Pursuing Sampling Method Using Discriminative Coordinate Perturbation for High-Dimensional Expensive Black-Box Optimization

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Yufei Wu, Teng Long, Renhe Shi, G. Gary Wang
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. April 2021, 143(4): 041703.
Paper No: MD-20-1165
https://doi.org/10.1115/1.4047909
Published Online: October 12, 2020
View Articletitled, Mode-Pursuing Sampling Method Using Discriminative Coordinate Perturbation for High-Dimensional Expensive Black-Box Optimization
Open the PDF for Mode-Pursuing Sampling Method Using Discriminative Coordinate Perturbation for High-Dimensional Expensive Black-Box Optimization in another window
Topics: Design, Optimization, Sampling methods
Journal Articles

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

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Andrew L. Kaminsky, Yi Wang, Kapil Pant
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
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 Articletitled, An Efficient Batch K -Fold Cross-Validation Voronoi Adaptive Sampling Technique for Global Surrogate Modeling
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Topics: Dimensions, Errors, Modeling, Sampling methods, Experimental design
Journal Articles

A New Sampling Approach for the Multi-Scale Design of Metallic Materials

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Pinar Acar
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. August 2020, 142(8): 081702.
Paper No: MD-19-1577
https://doi.org/10.1115/1.4045800
Published Online: February 14, 2020
View Articletitled, A New Sampling Approach for the Multi-Scale Design of Metallic Materials
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Topics: Design, Optimization, Titanium, Sampling methods, Materials properties
Journal Articles

An Adaptive Directional Boundary Sampling Method for Efficient Reliability-Based Design Optimization

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Zeng Meng, Dequan Zhang, Zhaotao Liu, Gang Li
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research-Article
J. Mech. Des. December 2018, 140(12): 121406.
Paper No: MD-18-1193
https://doi.org/10.1115/1.4040883
Published Online: September 18, 2018
View Articletitled, An Adaptive Directional Boundary Sampling Method for Efficient Reliability-Based Design Optimization
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Topics: Design, Errors, Optimization, Pareto optimization, Reliability, Reliability-based optimization, Sampling methods, Shells, Failure
Journal Articles

A Bayesian Sampling Method for Product Feature Extraction From Large-Scale Textual Data

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Sunghoon Lim, Conrad S. Tucker
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research-Article
J. Mech. Des. June 2016, 138(6): 061403.
Paper No: MD-15-1456
https://doi.org/10.1115/1.4033238
Published Online: April 20, 2016
View Articletitled, A Bayesian Sampling Method for Product Feature Extraction From Large-Scale Textual Data
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Topics: Algorithms, Errors, Feature extraction, Information retrieval, Probability, Sampling methods, Product design, Machinery, Machine learning, Mining
Journal Articles

Metamodel-Based Optimization for Problems With Expensive Objective and Constraint Functions

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Moslem Kazemi, G. Gary Wang, Shahryar Rahnamayan, Kamal Gupta
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Technical Briefs
J. Mech. Des. January 2011, 133(1): 014505.
https://doi.org/10.1115/1.4003035
Published Online: January 10, 2011
View Articletitled, Metamodel-Based Optimization for Problems With Expensive Objective and Constraint Functions
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Topics: Algorithms, Design, Optimization, Sampling methods
Journal Articles

Q2S2: A New Methodology for Merging Quantitative and Qualitative Information in Experimental Design

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Rahul Rai, Matthew Campbell
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. March 2008, 130(3): 031103.
https://doi.org/10.1115/1.2829884
Published Online: February 5, 2008
View Articletitled, Q2S2: A New Methodology for Merging Quantitative and Qualitative Information in Experimental Design
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Topics: Design, Experimental design, Sampling methods, Optimization, Computer simulation, Switches
Journal Articles

Mode Pursuing Sampling Method for Discrete Variable Optimization on Expensive Black-Box Functions

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Behnam Sharif, G. Gary Wang, Tarek Y. ElMekkawy
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. February 2008, 130(2): 021402.
https://doi.org/10.1115/1.2803251
Published Online: January 3, 2008
View Articletitled, Mode Pursuing Sampling Method for Discrete Variable Optimization on Expensive Black-Box Functions
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Topics: Algorithms, Design, Optimization, Sampling methods
Journal Articles

Metamodeling Development for Vehicle Frontal Impact Simulation

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R. J. Yang, N. Wang, C. H. Tho, J. P. Bobineau, B. P. Wang
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Technical Papers
J. Mech. Des. September 2005, 127(5): 1014–1020.
https://doi.org/10.1115/1.1906264
Published Online: January 14, 2005
View Articletitled, Metamodeling Development for Vehicle Frontal Impact Simulation
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Topics: Design, Metamodeling, Modeling, Simulation, Vehicles, Deformation, Response surface methodology, Errors, Sampling methods
Journal Articles

SAMS: Stochastic Analysis With Minimal Sampling—A Fast Algorithm for Analysis and Design Under Uncertainty

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A. Mawardi, R. Pitchumani
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Technical Papers
J. Mech. Des. July 2005, 127(4): 558–571.
https://doi.org/10.1115/1.1866157
Published Online: June 28, 2004
View Articletitled, SAMS: Stochastic Analysis With Minimal Sampling—A Fast Algorithm for Analysis and Design Under Uncertainty
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Topics: Algorithms, Composite materials, Cycles, Density, Manufacturing, Sampling methods, Temperature, Uncertainty, Design under uncertainty, Approximation
Journal Articles

Towards a Better Understanding of Modeling Feasibility Robustness in Engineering Design

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Xiaoping Du, Research Associate, Wei Chen, Assistant Professor
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Technical Papers
J. Mech. Des. December 2000, 122(4): 385–394.
https://doi.org/10.1115/1.1290247
Published Online: June 1, 1999
View Articletitled, Towards a Better Understanding of Modeling Feasibility Robustness in Engineering Design
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Topics: Design, Modeling, Optimization, Probability, Robustness, Sampling methods, Corners (Structural elements), Statistical analysis, Simulation