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Journal Articles

Evidence-Theory-Based Reliability Analysis From the Perspective of Focal Element Classification Using Deep Learning Approach

L. Chen, Z. Zhang, G. Yang, Q. Zhou, Y. Xia, C. Jiang

J. Mech. Des. July 2023, 145(7): 071702.

Paper No: MD-22-1753

DOI: https://doi.org/10.1115/1.4062271

Published Online: May 17, 2023

View Article titled, Evidence-Theory-Based Reliability Analysis From the Perspective of Focal Element Classification Using Deep Learning Approach

Topics: Dimensions, Errors, Event history analysis, Reliability, Uncertainty, Probability, Construction

Journal Articles

A dimension-selection based constrained multi-objective optimization algorithm using a combination of AI methods

Di Wu, Dmitry Sotnikov, G. Gary Wang, Eric Coatanea, Mika Lyly, Tiina Slami

J. Mech. Des.

Paper No: MD-23-1006

DOI: https://doi.org/10.1115/1.4062548

Published Online: May 16, 2023

View Article titled, A dimension-selection based constrained multi-objective optimization algorithm using a combination of AI methods

Topics: Algorithms, Design, Dimensions, Optimization, Pareto optimization

Journal Articles

Tolerancing for an Apple Pie: A Fundamental Theory of Tolerances

Joshua Roland Campbell, George A. Hazelrigg

J. Mech. Des. June 2023, 145(6): 061401.

Paper No: MD-22-1028

DOI: https://doi.org/10.1115/1.4057040

Published Online: March 29, 2023

View Article titled, Tolerancing for an Apple Pie: A Fundamental Theory of Tolerances

Topics: Design, Optimization, Product design, Preferences, Dimensions, Taguchi methods, Manufacturing, Temperature, Reliability, Risk

Journal Articles

Optimum Design for a New Reconfigurable Two-Wheeled Self-Balancing Robot Based on Virtual Equivalent Parallel Mechanism

Hongyan Tang, James W. Zhang, Lanqing Pan, Dan Zhang

J. Mech. Des. May 2023, 145(5): 053302.

Paper No: MD-22-1678

DOI: https://doi.org/10.1115/1.4056575

Published Online: January 10, 2023

View Article titled, Optimum Design for a New Reconfigurable Two-Wheeled Self-Balancing Robot Based on Virtual Equivalent Parallel Mechanism

Topics: Design, Kinematics, Optimization, Robots, Gravity (Force), Parallel mechanisms, Construction, Steering wheels, Dimensions, Chain

Journal Articles

Do Human and Computational Evaluations of Similarity Align? An Empirical Study of Product Function

Ananya Nandy, Kosa Goucher-Lambert

J. Mech. Des. April 2022, 144(4): 041404.

Paper No: MD-21-1367

DOI: https://doi.org/10.1115/1.4053858

Published Online: March 1, 2022

View Article titled, Do Human and Computational Evaluations of Similarity Align? An Empirical Study of Product Function

Topics: Crowdsourcing, Design, Dimensions

Journal Articles

So You Think Your System Is Complex?: Why and How Existing Complexity Measures Rarely Agree

Anthony Hennig, Taylan G. Topcu, Zoe Szajnfarber

J. Mech. Des. April 2022, 144(4): 041401.

Paper No: MD-21-1320

DOI: https://doi.org/10.1115/1.4052701

Published Online: November 11, 2021

View Article titled, So You Think Your System Is Complex?: Why and How Existing Complexity Measures Rarely Agree

Topics: Architecture, Design, Modular construction, Physics, Sensitivity analysis, System architecture, Flow (Dynamics), Dimensions, Performance

Journal Articles

High-Dimensional Reliability Method Accounting for Important and Unimportant Input Variables

Jianhua Yin, Xiaoping Du

J. Mech. Des. April 2022, 144(4): 041702.

Paper No: MD-21-1105

DOI: https://doi.org/10.1115/1.4051982

Published Online: November 11, 2021

View Article titled, High-Dimensional Reliability Method Accounting for Important and Unimportant Input Variables

Topics: Dimensions, Event history analysis, Reliability, Failure, Probability

Includes: Supplementary data

Journal Articles

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

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

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

Paper No: MD-19-1886

DOI: 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

Online Data-Driven Prediction of Spatio-Temporal System Behavior Using High-Fidelity Simulations and Sparse Sensor Measurements

X. Zhao, S. Azarm, B. Balachandran

J. Mech. Des. February 2021, 143(2): 021701.

Paper No: MD-20-1012

DOI: https://doi.org/10.1115/1.4047690

Published Online: August 18, 2020

View Article titled, Online Data-Driven Prediction of Spatio-Temporal System Behavior Using High-Fidelity Simulations and Sparse Sensor Measurements

Topics: Dimensions, Sensors, Simulation, Wings, Modeling, Errors, Particulate matter, Aircraft, Tensors

Journal Articles

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

Andrew L. Kaminsky, Yi Wang, Kapil Pant

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

Paper No: MD-19-1928

DOI: 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

Investigation of Viability to Replace Draft Animals With All-Wheel-Drive Motorcycles on Small Farms

Guillermo F. Diaz Lankenau, Amos G. Winter V

J. Mech. Des. January 2021, 143(1): 011401.

Paper No: MD-19-1880

DOI: https://doi.org/10.1115/1.4047001

Published Online: July 24, 2020

View Article titled, Investigation of Viability to Replace Draft Animals With All-Wheel-Drive Motorcycles on Small Farms

Topics: Design, Engineering prototypes, Motorcycles, Vehicles, Wheels, Feedback, Dimensions, Testing, Soil, Plasma spraying

Includes: Supplementary data

Journal Articles

Shared-Gaussian Process: Learning Interpretable Shared Hidden Structure Across Data Spaces for Design Space Analysis and Exploration

Wei Xing, Shireen Y. Elhabian, Vahid Keshavarzzadeh, Robert M. Kirby

J. Mech. Des. August 2020, 142(8): 081707.

Paper No: MD-19-1708

DOI: https://doi.org/10.1115/1.4046074

Published Online: March 4, 2020

View Article titled, Shared-Gaussian Process: Learning Interpretable Shared Hidden Structure Across Data Spaces for Design Space Analysis and Exploration

Topics: Design, Dimensions, Optimization, Simulation, Space, Topology, Density, Stress

Journal Articles

A Preference-Based Approach to Assess a Component’s Design Readiness for Additive Manufacturing

Seyedeh Elaheh Ghiasian, Prakhar Jaiswal, Rahul Rai, Kemper Lewis

J. Mech. Des. August 2020, 142(8): 082001.

Paper No: MD-19-1640

DOI: https://doi.org/10.1115/1.4045604

Published Online: February 14, 2020

View Article titled, A Preference-Based Approach to Assess a Component’s Design Readiness for Additive Manufacturing

Topics: Additive manufacturing, Design, Machinery, Manufacturing, Preferences, Resolution (Optics), Dimensions, Printing

Journal Articles

Flexure Pivot Oscillator With Intrinsically Tuned Isochronism

E. Thalmann, M. H. Kahrobaiyan, I. Vardi, S. Henein

J. Mech. Des. July 2020, 142(7): 075001.

Paper No: MD-19-1323

DOI: https://doi.org/10.1115/1.4045388

Published Online: December 12, 2019

View Article titled, Flexure Pivot Oscillator With Intrinsically Tuned Isochronism

Topics: Bending (Stress), Gravity (Force), Stiffness, Torque, Design, Dimensions

Journal Articles

Evidence-Based Structural Uncertainty Quantification by Dimension Reduction Decomposition and Marginal Interval Analysis

Lixiong Cao, Jie Liu, Chao Jiang, Zhantao Wu, Zheng Zhang

J. Mech. Des. May 2020, 142(5): 051701.

Paper No: MD-18-1475

DOI: https://doi.org/10.1115/1.4044915

Published Online: November 11, 2019

View Article titled, Evidence-Based Structural Uncertainty Quantification by Dimension Reduction Decomposition and Marginal Interval Analysis

Topics: Dimensions, Uncertainty, Uncertainty quantification

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

J. Mech. Des. November 2019, 141(11): 111402.

Paper No: MD-19-1164

DOI: 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

Topics: Design, Metamaterials, Modeling, Optimization, Dimensions, Databases, Shapes, Noise (Sound)

Journal Articles

Maximum Entropy Method-Based Reliability Analysis With Correlated Input Variables via Hybrid Dimension-Reduction Method

Wanxin He, Gang Li, Peng Hao, Yan Zeng

J. Mech. Des. October 2019, 141(10): 101405.

Paper No: MD-18-1690

DOI: https://doi.org/10.1115/1.4043734

Published Online: July 19, 2019

View Article titled, Maximum Entropy Method-Based Reliability Analysis With Correlated Input Variables via Hybrid Dimension-Reduction Method

Topics: Dimensions, Errors, Event history analysis, Entropy, Probability, Failure

Journal Articles

Kinematic Design of a Novel Two Degree-of-Freedom Parallel Mechanism for Minimally Invasive Surgery

Wen-ao Cao, Shi-jie Xu, Kun Rao, Tengfei Ding

J. Mech. Des. October 2019, 141(10): 104501.

Paper No: MD-18-1376

DOI: https://doi.org/10.1115/1.4043583

Published Online: May 23, 2019

View Article titled, Kinematic Design of a Novel Two Degree-of-Freedom Parallel Mechanism for Minimally Invasive Surgery

Topics: Degrees of freedom, Design, Dimensions, Displacement, Engineering prototypes, Kinematics, Parallel mechanisms, Surgery, Manipulators, Rotation

Journal Articles

Control of Process Settings for Large-Scale Additive Manufacturing With Sustainable Natural Composites

Yadunund Vijay, Naresh D. Sanandiya, Stylianos Dritsas, Javier G. Fernandez

J. Mech. Des. August 2019, 141(8): 081701.

Paper No: MD-18-1510

DOI: https://doi.org/10.1115/1.4042624

Published Online: April 16, 2019

View Article titled, Control of Process Settings for Large-Scale Additive Manufacturing With Sustainable Natural Composites

Topics: Additive manufacturing, Composite materials, Design, Dimensions, Extruding, Pareto optimization, Printing, Shrinkage (Materials), Sustainability, Manufacturing

Journal Articles

Adaptive Dimensionality Reduction for Fast Sequential Optimization With Gaussian Processes

Seyede Fatemeh Ghoreishi, Samuel Friedman, Douglas L. Allaire

J. Mech. Des. July 2019, 141(7): 071404.

Paper No: MD-18-1596

DOI: https://doi.org/10.1115/1.4043202

Published Online: March 28, 2019

View Article titled, Adaptive Dimensionality Reduction for Fast Sequential Optimization With Gaussian Processes

Topics: Design, Optimization, Dimensions, Wings

Journal citation

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Supplemental Material

Manuscript

Evidence-Theory-Based Reliability Analysis From the Perspective of Focal Element Classification Using Deep Learning Approach

A dimension-selection based constrained multi-objective optimization algorithm using a combination of AI methods

Tolerancing for an Apple Pie: A Fundamental Theory of Tolerances

Optimum Design for a New Reconfigurable Two-Wheeled Self-Balancing Robot Based on Virtual Equivalent Parallel Mechanism

Do Human and Computational Evaluations of Similarity Align? An Empirical Study of Product Function

So You Think Your System Is Complex?: Why and How Existing Complexity Measures Rarely Agree

High-Dimensional Reliability Method Accounting for Important and Unimportant Input Variables

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

Online Data-Driven Prediction of Spatio-Temporal System Behavior Using High-Fidelity Simulations and Sparse Sensor Measurements

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

Investigation of Viability to Replace Draft Animals With All-Wheel-Drive Motorcycles on Small Farms

Shared-Gaussian Process: Learning Interpretable Shared Hidden Structure Across Data Spaces for Design Space Analysis and Exploration

A Preference-Based Approach to Assess a Component’s Design Readiness for Additive Manufacturing

Flexure Pivot Oscillator With Intrinsically Tuned Isochronism

Evidence-Based Structural Uncertainty Quantification by Dimension Reduction Decomposition and Marginal Interval Analysis

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

Maximum Entropy Method-Based Reliability Analysis With Correlated Input Variables via Hybrid Dimension-Reduction Method

Kinematic Design of a Novel Two Degree-of-Freedom Parallel Mechanism for Minimally Invasive Surgery

Control of Process Settings for Large-Scale Additive Manufacturing With Sustainable Natural Composites

Adaptive Dimensionality Reduction for Fast Sequential Optimization With Gaussian Processes

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