Topics: Event history analysis , Failure , Probability , Simulation , Uncertainty , Vehicles , Optimization , Ceramic matrix composites , Experimental design

Validating Dynamic Engineering Models Under Uncertainty

Zequn Wang, Yan Fu, Ren-Jye Yang, Saeed Barbat, Wei Chen

J. Mech. Des. November 2016, 138(11): 111402. doi: https://doi.org/10.1115/1.4034089

Abstract

View articletitled, Validating Dynamic Engineering Models Under Uncertainty

Open the PDF for in another window

Topics: Dynamic systems , Model validation , Signals , Simulation , Time series , Uncertainty , Dynamic models , Density , Data fusion , Engineering models

Redundancy Allocation for Multistate Systems With Component Dependencies and Load Sharing

Jing Wang, Mian Li

J. Mech. Des. November 2016, 138(11): 111403. doi: https://doi.org/10.1115/1.4034108

Abstract

View articletitled, Redundancy Allocation for Multistate Systems With Component Dependencies and Load Sharing

Open the PDF for in another window

Topics: Failure , Optimization , Redundancy (Engineering) , Reliability , Stress , Maintenance , Cables , Design

Resilience Assessment Based on Time-Dependent System Reliability Analysis

Zhen Hu, Sankaran Mahadevan

J. Mech. Des. November 2016, 138(11): 111404. doi: https://doi.org/10.1115/1.4034109

Abstract

View articletitled, Resilience Assessment Based on Time-Dependent System Reliability Analysis

Open the PDF for in another window

Topics: Event history analysis , Resilience , Failure

Robust Optimization With Parameter and Model Uncertainties Using Gaussian Processes

Yanjun Zhang, Mian Li, Jun Zhang, Guoshu Li

J. Mech. Des. November 2016, 138(11): 111405. doi: https://doi.org/10.1115/1.4034222

Abstract

View articletitled, Robust Optimization With Parameter and Model Uncertainties Using Gaussian Processes

Open the PDF for in another window

Topics: Design , Optimization , Uncertainty

A Sequential Robust Optimization Approach for Multidisciplinary Design Optimization With Uncertainty

Tingting Xia, Mian Li, Jianhua Zhou

J. Mech. Des. November 2016, 138(11): 111406. doi: https://doi.org/10.1115/1.4034113

Abstract

View articletitled, A Sequential Robust Optimization Approach for Multidisciplinary Design Optimization With Uncertainty

Open the PDF for in another window

Topics: Design , Engineering disciplines , Optimization , Robustness , Uncertainty

Robustness Metrics: Consolidating the Multiple Approaches to Quantify Robustness

Simon Moritz Göhler, Tobias Eifler, Thomas J. Howard

J. Mech. Des. November 2016, 138(11): 111407. doi: https://doi.org/10.1115/1.4034112

Abstract

View articletitled, Robustness Metrics: Consolidating the Multiple Approaches to Quantify Robustness

Open the PDF for in another window

Topics: Design , Robustness

Engineering Resilience Quantification and System Design Implications: A Literature Survey

Nita Yodo, Pingfeng Wang

J. Mech. Des. November 2016, 138(11): 111408. doi: https://doi.org/10.1115/1.4034223

Abstract

View articletitled, Engineering Resilience Quantification and System Design Implications: A Literature Survey

Open the PDF for in another window

Topics: Design , Resilience

Deciding Degree of Conservativeness in Initial Design Considering Risk of Future Redesign

Nathaniel B. Price, Nam-Ho Kim, Raphael T. Haftka, Mathieu Balesdent, Sébastien Defoort, Rodolphe Le Riche

J. Mech. Des. November 2016, 138(11): 111409. doi: https://doi.org/10.1115/1.4034347

Abstract

View articletitled, Deciding Degree of Conservativeness in Initial Design Considering Risk of Future Redesign

Open the PDF for in another window

Topics: Design , Probability , Errors , Uncertainty , Failure

Variance-Based Sensitivity Analysis to Support Simulation-Based Design Under Uncertainty

Max M. J. Opgenoord, Douglas L. Allaire, Karen E. Willcox

J. Mech. Des. November 2016, 138(11): 111410. doi: https://doi.org/10.1115/1.4034224

Abstract

View articletitled, Variance-Based Sensitivity Analysis to Support Simulation-Based Design Under Uncertainty

Open the PDF for in another window

Topics: Design , Sensitivity analysis , Uncertainty , Aircraft , Simulation , Algorithms , Conceptual design

Propagation of Modeling Uncertainty by Polynomial Chaos Expansion in Multidisciplinary Analysis

S. Dubreuil, N. Bartoli, C. Gogu, T. Lefebvre

J. Mech. Des. November 2016, 138(11): 111411. doi: https://doi.org/10.1115/1.4034110

Abstract

View articletitled, Propagation of Modeling Uncertainty by Polynomial Chaos Expansion in Multidisciplinary Analysis

Open the PDF for in another window

Topics: Approximation , Design , Modeling , Polynomials , Uncertainty , Engineering disciplines , Errors , Algorithms , Chaos

Extending Expected Improvement for High-Dimensional Stochastic Optimization of Expensive Black-Box Functions

Piyush Pandita, Ilias Bilionis, Jitesh Panchal

J. Mech. Des. November 2016, 138(11): 111412. doi: https://doi.org/10.1115/1.4034104

Abstract

View articletitled, Extending Expected Improvement for High-Dimensional Stochastic Optimization of Expensive Black-Box Functions

Open the PDF for in another window

Topics: Design , Optimization , Uncertainty , Simulation , Noise (Sound) , Approximation

Technical Brief

Reliability-Based Design Optimization Concerning Objective Variation Under Mixed Probabilistic and Interval Uncertainties

Jianhua Zhou, Min Xu, Mian Li

J. Mech. Des. November 2016, 138(11): 114501. doi: https://doi.org/10.1115/1.4034346

Abstract

View articletitled, Reliability-Based Design Optimization Concerning Objective Variation Under Mixed Probabilistic and Interval Uncertainties

Open the PDF for in another window

Topics: Optimization , Uncertainty , Reliability-based optimization

Identifying Uncertainty in Laser Powder Bed Fusion Additive Manufacturing Models

Felipe Lopez, Paul Witherell, Brandon Lane

J. Mech. Des. November 2016, 138(11): 114502. doi: https://doi.org/10.1115/1.4034103

Abstract

View articletitled, Identifying Uncertainty in Laser Powder Bed Fusion Additive Manufacturing Models

Open the PDF for in another window

Topics: Lasers , Uncertainty , Errors , Modeling , Uncertainty quantification , Additive manufacturing

All Issues

Email alerts

Accepted Manuscript Alert

New Issue Alert

RSS Feeds

Open Issues RSS Feed

Latest
Most Read
Most Cited

Large Language Models for Predicting Empathic Accuracy Between a Designer and a User

J. Mech. Des (April 2025)

Repurposing as a Decommissioning Strategy for Complex Systems: A Systematic Review

J. Mech. Des (May 2025)

A Dataset Generation Framework for Symmetry-Induced Mechanical Metamaterials

J. Mech. Des (April 2025)

Bi-Level Interturn Short-Circuit Fault Monitoring for Wind Turbine Generators With Benchmark Dataset Development

J. Mech. Des (April 2025)

Looking Beyond Self-Reported Cognitive Load: Comparing Pupil Diameter against Self-Reported Cognitive Load in Design Tasks

J. Mech. Des

Guest Editorial

Special Issue: Simulation-Based Design Under Uncertainty

Research Papers

Design Automation

Reliability Analysis in the Presence of Aleatory and Epistemic Uncertainties, Application to the Prediction of a Launch Vehicle Fallout Zone

Validating Dynamic Engineering Models Under Uncertainty

Redundancy Allocation for Multistate Systems With Component Dependencies and Load Sharing

Resilience Assessment Based on Time-Dependent System Reliability Analysis

Robust Optimization With Parameter and Model Uncertainties Using Gaussian Processes

A Sequential Robust Optimization Approach for Multidisciplinary Design Optimization With Uncertainty

Robustness Metrics: Consolidating the Multiple Approaches to Quantify Robustness

Engineering Resilience Quantification and System Design Implications: A Literature Survey

Deciding Degree of Conservativeness in Initial Design Considering Risk of Future Redesign

Variance-Based Sensitivity Analysis to Support Simulation-Based Design Under Uncertainty

Propagation of Modeling Uncertainty by Polynomial Chaos Expansion in Multidisciplinary Analysis

Extending Expected Improvement for High-Dimensional Stochastic Optimization of Expensive Black-Box Functions

Technical Brief

Reliability-Based Design Optimization Concerning Objective Variation Under Mixed Probabilistic and Interval Uncertainties

Identifying Uncertainty in Laser Powder Bed Fusion Additive Manufacturing Models

Email alerts

RSS Feeds

ASME Journals

ASME Conference Proceedings

ASME eBooks

Resources

Opportunities

Issues

Guest Editorial

Research Papers

Design Automation

Technical Brief

Email alerts

RSS Feeds

ASME Journals

ASME Conference Proceedings

ASME eBooks

Resources

Opportunities

This Feature Is Available To Subscribers Only