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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

Paper No: DETC2022-89776

DOI: https://doi.org/10.1115/DETC2022-89776

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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

Paper No: DETC2022-89707

DOI: https://doi.org/10.1115/DETC2022-89707

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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

Paper No: DETC2022-90496

DOI: https://doi.org/10.1115/DETC2022-90496

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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

Paper No: 96-DETC/DAC-1458

DOI: https://doi.org/10.1115/96-DETC/DAC-1458

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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

Paper No: DETC2000/DAC-14273

DOI: https://doi.org/10.1115/DETC2000/DAC-14273

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Topics: Design, Reliability-based optimization, Optimization, Reliability, Probability

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

Paper No: DETC2001/DAC-21063

DOI: https://doi.org/10.1115/DETC2001/DAC-21063

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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

Paper No: DETC2001/DAC-21112

DOI: https://doi.org/10.1115/DETC2001/DAC-21112

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Topics: Deformation, Reliability-based optimization, Design sensitivity analysis, Event history analysis, Failure mechanisms, Meshfree methods, Reliability

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

Paper No: DETC2001/DAC-21044

DOI: https://doi.org/10.1115/DETC2001/DAC-21044

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Topics: Reliability-based optimization, Failure mechanisms, 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

Paper No: DETC2020-22275

DOI: https://doi.org/10.1115/DETC2020-22275

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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

Paper No: DETC2020-22019

DOI: https://doi.org/10.1115/DETC2020-22019

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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

Paper No: DETC2019-97278

DOI: https://doi.org/10.1115/DETC2019-97278

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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

Paper No: DETC2019-98307

DOI: https://doi.org/10.1115/DETC2019-98307

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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

Paper No: DETC2019-97718

DOI: https://doi.org/10.1115/DETC2019-97718

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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

Paper No: DETC2019-97721

DOI: https://doi.org/10.1115/DETC2019-97721

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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

Paper No: DETC2018-86382

DOI: https://doi.org/10.1115/DETC2018-86382

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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

Paper No: DETC2017-67522

DOI: https://doi.org/10.1115/DETC2017-67522

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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

Paper No: DETC2017-67426

DOI: https://doi.org/10.1115/DETC2017-67426

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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

Paper No: DETC2017-68045

DOI: https://doi.org/10.1115/DETC2017-68045

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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

A Comprehensive Investigation of Ensembles of Gaussian-Based and Gradient-Based Transformed Reliability Analyses: When and How to Use Them

Po Ting Lin, Wei-Hao Lu, Shu-Ping Lin

Proc. ASME. IDETC-CIE2016, Volume 2A: 42nd Design Automation Conference, V02AT03A016, August 21–24, 2016

Paper No: DETC2016-59151

DOI: https://doi.org/10.1115/DETC2016-59151

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Topics: Reliability, Design, Optimization, Probability, Density, Event history analysis, Failure, Reliability-based optimization, Sensitivity analysis, Uncertainty

Proceedings Papers

Sensitivity Developments for Sensitivity-Based RBDO With Correlated Input Variable and Varying Input Standard Deviation

Hyunkyoo Cho, K. K. Choi, David Lamb

Proc. ASME. IDETC-CIE2016, Volume 2B: 42nd Design Automation Conference, V02BT03A056, August 21–24, 2016

Paper No: DETC2016-60175

DOI: https://doi.org/10.1115/DETC2016-60175

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Topics: Design, Event history analysis, Failure, Optimization, Probability, Reliability, Reliability-based optimization

NARROW

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

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

Reliability-Based Optimization of Offshore Salt Caverns for CO2 Abatement

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

Design Potential Concept for Reliability-Based Design Optimization

A Comparison of Polynomial Based Regression Models in Vehicle Safety Analysis

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

Hybrid Analysis Method for Reliability-Based Design Optimization

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

Reliability-Based Reinforcement Learning Under Uncertainty

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

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

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

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

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

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

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

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

A Comprehensive Investigation of Ensembles of Gaussian-Based and Gradient-Based Transformed Reliability Analyses: When and How to Use Them

Sensitivity Developments for Sensitivity-Based RBDO With Correlated Input Variable and Varying Input Standard Deviation

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