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Proceedings Papers

A Reliability-Based Optimization Framework for Planning Operational Profiles for Unmanned Systems

Indranil Hazra, Arko Chatterjee, Joseph Southgate, Matthew J. Weiner, Katrina M. Groth, Shapour Azarm
Proc. ASME. IDETC-CIE2023, Volume 3A: 49th Design Automation Conference (DAC), V03AT03A047, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116586
https://doi.org/10.1115/DETC2023-116586
View Paper titled, A Reliability-Based Optimization Framework for Planning Operational Profiles for Unmanned Systems
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Topics: Reliability-based optimization, Optimization, Reliability, Bayesian network, Control systems, Cooling, Engineering systems and industry applications, Engines, Event history analysis, Maintainability
Proceedings Papers

A New Framework for Efficient Sequential Sampling-Based RBDO Using Space Mapping

Jeong Woo Park, Ikjin Lee
Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A003, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-89776
https://doi.org/10.1115/DETC2022-89776
View Paper titled, A New Framework for Efficient Sequential Sampling-Based RBDO Using Space Mapping
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Topics: Accuracy and precision, Event history analysis, Failure, Metamodeling, Probability, Reliability-based optimization, Sampling methods, Sensitivity analysis, Simulation
Proceedings Papers

Hierarchical Deep Generative Models for Design Under Free-Form Geometric Uncertainty

Wei (Wayne) Chen, Doksoo Lee, Oluwaseyi Balogun, Wei Chen
Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A042, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-89707
https://doi.org/10.1115/DETC2022-89707
View Paper titled, Hierarchical Deep Generative Models for Design Under Free-Form Geometric Uncertainty
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Topics: Design, Uncertainty, Manufacturing, Design under uncertainty, Optimization, Engineering design, Modeling, Reliability-based optimization, Shapes, Topology
Proceedings Papers

Reliability-Based Optimization of Offshore Salt Caverns for CO2 Abatement

Zhuoyuan Zheng, Yanwen Xu, Bayan Hamdan, Sara Kohtz, Pedro V. M. Costa, Alvaro M. Costa, Carlos H. B. Morais, Pingfeng Wang
Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A024, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-90496
https://doi.org/10.1115/DETC2022-90496
View Paper titled, Reliability-Based Optimization of Offshore Salt Caverns for CO2 Abatement
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Topics: Carbon dioxide, Ocean engineering, Reliability-based optimization, Design, Supercritical carbon dioxide, Uncertainty, Construction, Reliability, Storage, Carbon capture and storage
Proceedings Papers

Stochastic Approximation Methods in Optimal Structural Design: The Use of Intermediate Variables

Kurt Marti
Proc. ASME. DETC-CIE96, Volume 3: 22nd Design Automation Conference, V003T03A042, August 18–22, 1996
Publisher: American Society of Mechanical Engineers
Paper No: 96-DETC/DAC-1458
https://doi.org/10.1115/96-DETC/DAC-1458
View Paper titled, Stochastic Approximation Methods in Optimal Structural Design: The Use of Intermediate Variables
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Topics: Approximation, Structural optimization, Design, Dimensions, Elastic moduli, Optimization, Reliability, Reliability-based optimization, Response surface methodology, Statistical distributions
Proceedings Papers

Design Potential Concept for Reliability-Based Design Optimization

Kyung K. Choi, Jian Tu, Young H. Park
Proc. ASME. IDETC-CIE2000, Volume 2: 26th Design Automation Conference, 303-310, September 10–13, 2000
Publisher: American Society of Mechanical Engineers
Paper No: DETC2000/DAC-14273
https://doi.org/10.1115/DETC2000/DAC-14273
View Paper titled, Design Potential Concept for Reliability-Based Design Optimization
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Topics: Design, Reliability-based optimization, Optimization, Reliability, Probability
Proceedings Papers

Hybrid Analysis Method for Reliability-Based Design Optimization

Kyung K. Choi, Byeng D. Youn
Proc. ASME. IDETC-CIE2001, Volume 2A: 27th Design Automation Conference, 339-348, September 9–12, 2001
Publisher: American Society of Mechanical Engineers
Paper No: DETC2001/DAC-21044
https://doi.org/10.1115/DETC2001/DAC-21044
View Paper titled, Hybrid Analysis Method for Reliability-Based Design Optimization
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Topics: Reliability-based optimization, Failure mechanisms, Reliability
Proceedings Papers

A Comparison of Polynomial Based Regression Models in Vehicle Safety Analysis

Lei Gu
Proc. ASME. IDETC-CIE2001, Volume 2A: 27th Design Automation Conference, 509-514, September 9–12, 2001
Publisher: American Society of Mechanical Engineers
Paper No: DETC2001/DAC-21063
https://doi.org/10.1115/DETC2001/DAC-21063
View Paper titled, A Comparison of Polynomial Based Regression Models in Vehicle Safety Analysis
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Topics: Polynomials, Regression models, Safety, Vehicles, Design, Finite element analysis, Simulation, Algorithms, Gages, Optimization
Proceedings Papers

Stable Evaluation of Probabilistic Constraint in Reliability-Based Design Optimization for Large Deformation Problem

Young H. Park
Proc. ASME. IDETC-CIE2001, Volume 2B: 27th Design Automation Conference, 947-954, September 9–12, 2001
Publisher: American Society of Mechanical Engineers
Paper No: DETC2001/DAC-21112
https://doi.org/10.1115/DETC2001/DAC-21112
View Paper titled, Stable Evaluation of Probabilistic Constraint in Reliability-Based Design Optimization for Large Deformation Problem
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Topics: Deformation, Reliability-based optimization, Design sensitivity analysis, Event history analysis, Failure mechanisms, Meshfree methods, Reliability
Proceedings Papers

Sampling-Based Reliability Analysis Using Deep Feedforward Neural Network (DFNN)

Ungki Lee, Ikjin Lee
Proc. ASME. IDETC-CIE2020, Volume 5: 24th Reliability, Stress Analysis, and Failure Prevention Conference (RSAFP), V005T05A006, August 17–19, 2020
Publisher: American Society of Mechanical Engineers
Paper No: DETC2020-22275
https://doi.org/10.1115/DETC2020-22275
View Paper titled, Sampling-Based Reliability Analysis Using Deep Feedforward Neural Network (DFNN)
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Topics: Artificial neural networks, Event history analysis, Feedforward control, Design, Trains, Dimensions, Shapes, Analytical methods, Density, Polynomials
Proceedings Papers

Reliability-Based Reinforcement Learning Under Uncertainty

Zequn Wang, Narendra Patwardhan
Proc. ASME. IDETC-CIE2020, Volume 11A: 46th Design Automation Conference (DAC), V11AT11A038, August 17–19, 2020
Publisher: American Society of Mechanical Engineers
Paper No: DETC2020-22019
https://doi.org/10.1115/DETC2020-22019
View Paper titled, Reliability-Based Reinforcement Learning Under Uncertainty
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Topics: Optimization, Reliability, Uncertainty, Control equipment, Design, Dynamics (Mechanics), Modeling, Pendulums, Poles (Building), Reliability-based optimization
Proceedings Papers

Second-Order Reliability Method Based on Edgeworth Expansion With Application to Reliability-Based Design Optimization

Rami Mansour, Mårten Olsson
Proc. ASME. IDETC-CIE2019, Volume 2B: 45th Design Automation Conference, V02BT03A034, August 18–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DETC2019-97278
https://doi.org/10.1115/DETC2019-97278
View Paper titled, Second-Order Reliability Method Based on Edgeworth Expansion With Application to Reliability-Based Design Optimization
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Topics: Reliability, Reliability-based optimization, Failure, Probability
Proceedings Papers

A Comparative Study of Formulations and Algorithms for Reliability-Based Co-Design Problems

Tonghui Cui, James T. Allison, Pingfeng Wang
Proc. ASME. IDETC-CIE2019, Volume 2B: 45th Design Automation Conference, V02BT03A019, August 18–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DETC2019-98307
https://doi.org/10.1115/DETC2019-98307
View Paper titled, A Comparative Study of Formulations and Algorithms for Reliability-Based Co-Design Problems
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Topics: Algorithms, Design, Reliability, Horizontal axis wind turbines, Optimization, Uncertainty, Control systems, Dynamic systems, Engineering systems and industry applications, Failure
Proceedings Papers

Confidence-Based Design Optimization Under Data Uncertainty Using Most Probable Point-Based Approach

Yongsu Jung, Hyunkyoo Cho, Ikjin Lee
Proc. ASME. IDETC-CIE2019, Volume 2B: 45th Design Automation Conference, V02BT03A042, August 18–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DETC2019-97718
https://doi.org/10.1115/DETC2019-97718
View Paper titled, Confidence-Based Design Optimization Under Data Uncertainty Using Most Probable Point-Based Approach
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Topics: Design, Optimization, Reliability-based optimization, Uncertainty
Proceedings Papers

Determination of the Number of Input Data Through Bi-Objective Confidence-Based Design Optimization

Yongsu Jung, Hyunkyoo Cho, Zunyi Duan, Ikjin Lee
Proc. ASME. IDETC-CIE2019, Volume 2B: 45th Design Automation Conference, V02BT03A043, August 18–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DETC2019-97721
https://doi.org/10.1115/DETC2019-97721
View Paper titled, Determination of the Number of Input Data Through Bi-Objective Confidence-Based Design Optimization
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Topics: Design, Optimization, Reliability-based optimization, Uncertainty
Proceedings Papers

Most Probable Point-Based Approximated Dimension Reduction Method in Reliability-Based Design Optimization

Yongsu Jung, Hyunkyoo Cho, Ikjin Lee
Proc. ASME. IDETC-CIE2018, Volume 2B: 44th Design Automation Conference, V02BT03A062, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-86382
https://doi.org/10.1115/DETC2018-86382
View Paper titled, Most Probable Point-Based Approximated Dimension Reduction Method in Reliability-Based Design Optimization
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Topics: Dimensions, Reliability-based optimization, Approximation, Event history analysis, Finite element analysis, Reliability, Design, Failure, Probability
Proceedings Papers

Design Under Uncertainty for a Piezoelectric Energy Harvester to Power a Tire Pressure Monitoring System

Amin Toghi Eshghi, Soobum Lee, Young-Cheol Kim
Proc. ASME. IDETC-CIE2017, Volume 8: 29th Conference on Mechanical Vibration and Noise, V008T12A059, August 6–9, 2017
Publisher: American Society of Mechanical Engineers
Paper No: DETC2017-67522
https://doi.org/10.1115/DETC2017-67522
View Paper titled, Design Under Uncertainty for a Piezoelectric Energy Harvester to Power a Tire Pressure Monitoring System
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Topics: Design under uncertainty, Energy harvesting, Monitoring systems, Pressure, Tires, Design, Uncertainty, Optimization, Reliability-based optimization, Algorithms
Proceedings Papers

Sequential Kriging Optimization for Time-Variant Reliability-Based Design Involving Stochastic Processes

Mingyang Li, Zequn Wang
Proc. ASME. IDETC-CIE2017, Volume 2A: 43rd Design Automation Conference, V02AT03A042, August 6–9, 2017
Publisher: American Society of Mechanical Engineers
Paper No: DETC2017-67426
https://doi.org/10.1115/DETC2017-67426
View Paper titled, Sequential Kriging Optimization for Time-Variant Reliability-Based Design Involving Stochastic Processes
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Topics: Design, Optimization, Reliability, Stochastic processes, Uncertainty, Failure, Modeling, Probability, Reliability-based optimization, Simulation
Proceedings Papers

Reliability-Based Design Optimization (RBDO) for Electric Vehicle Market Systems

Ungki Lee, Namwoo Kang, Ikjin Lee
Proc. ASME. IDETC-CIE2017, Volume 2A: 43rd Design Automation Conference, V02AT03A038, August 6–9, 2017
Publisher: American Society of Mechanical Engineers
Paper No: DETC2017-68045
https://doi.org/10.1115/DETC2017-68045
View Paper titled, Reliability-Based Design Optimization (RBDO) for Electric Vehicle Market Systems
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Topics: Electric vehicles, Reliability-based optimization, Design, Uncertainty, Batteries, Battery life, Engineering systems and industry applications, Failure, Preferences, Product design
Proceedings Papers

Model Uncertainty Approximation Using a Copula-Based Approach for Reliability Based Design Optimization

Hao Pan, Zhimin Xi, Ren-Jye Yang
Proc. ASME. IDETC-CIE2016, Volume 1A: 36th Computers and Information in Engineering Conference, V01AT02A026, August 21–24, 2016
Publisher: American Society of Mechanical Engineers
Paper No: DETC2016-60071
https://doi.org/10.1115/DETC2016-60071
View Paper titled, Model Uncertainty Approximation Using a Copula-Based Approach for Reliability Based Design Optimization
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Topics: Approximation, Reliability-based optimization, Uncertainty, Automotive design, Design engineering, Product design, Reliability