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Proceedings Papers

Descriptor Aided Bayesian Optimization for Mixed Variable Materials Design With High Dimensional Qualitative Variables

Akshay Iyer, Suraj Yerramilli, James M. Rondinelli, Daniel W. Apley, Wei Chen

Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A049, August 14–17, 2022

Paper No: DETC2022-90177

DOI: https://doi.org/10.1115/DETC2022-90177

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Topics: Design, Optimization

Proceedings Papers

Phononic Metamaterial Design via Transfer Learning-Based Topology Optimization Framework

Zihan Wang, Ran Zhuang, Weikang Xian, Jiawei Tian, Ying Li, Shikui Chen, Hongyi Xu

Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A048, August 14–17, 2022

Paper No: DETC2022-89932

DOI: https://doi.org/10.1115/DETC2022-89932

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Topics: Design, Energy gap, Metamaterials, Optimization, Topology

Proceedings Papers

Experimental Investigation of Topology-Optimized Beams With Isotropic and Anisotropic Base Material Assumptions

Hajin Kim, Josephine V. Carstensen

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A033, August 14–17, 2022

Paper No: DETC2022-89001

DOI: https://doi.org/10.1115/DETC2022-89001

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Topics: Additive manufacturing, Anisotropy, Manufacturing, Optimization, Topology

Proceedings Papers

Data Fusion as a Latent Space Learning Problem

Jonathan Tammer Eweis-Labolle, Nicholas Oune, Ramin Bostanabad

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A032, August 14–17, 2022

Paper No: DETC2022-90233

DOI: https://doi.org/10.1115/DETC2022-90233

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Topics: Calibration, Data fusion

Proceedings Papers

Evaluating Designer Learning and Performance in Interactive Deep Generative Design

Ashish M. Chaudhari, Daniel Selva

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A020, August 14–17, 2022

Paper No: DETC2022-90477

DOI: https://doi.org/10.1115/DETC2022-90477

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Topics: Collaboration, Design, Generative design, Machinery, Metamaterials, Semantics, Stress

Proceedings Papers

A Decision-Centric Perspective on Evolving Cyber-Physical-Social Systems: Effectiveness, Group Value, and Opportunities

Anton van Beek

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A010, August 14–17, 2022

Paper No: DETC2022-90161

DOI: https://doi.org/10.1115/DETC2022-90161

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Topics: Decision making, Modeling, Space, Transparency

Proceedings Papers

Multi-Fidelity Reduced-Order Models for Multiscale Damage Analyses With Automatic Calibration

Shiguang Deng, Carlos Mora, Diran Apelian, Ramin Bostanabad

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A031, August 14–17, 2022

Paper No: DETC2022-90163

DOI: https://doi.org/10.1115/DETC2022-90163

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Topics: Calibration, Damage

Proceedings Papers

A Multi-Fidelity Approach for Reliability Assessment Based on the Probability of Model Inconsistency

Bharath Pidaparthi, Samy Missoum

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A030, August 14–17, 2022

Paper No: DETC2022-90115

DOI: https://doi.org/10.1115/DETC2022-90115

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Topics: Failure, Heat exchangers, Probability, Reliability, Support vector machines

Proceedings Papers

Agent-Based Simulation of Optimal Trust in a Decision Support System in One-on-One Collaboration

Mostaan Lotfalian Saremi, Alparslan Emrah Bayrak

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A021, August 14–17, 2022

Paper No: DETC2022-90770

DOI: https://doi.org/10.1115/DETC2022-90770

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Topics: Collaboration, Simulation, Decision making, Simulation models

Proceedings Papers

Towards the Understanding of Nudging Strategies in Cyber-Physical-Social System In Manufacturing Environments

Xiaoou Yang, Ahreum Lim, Aliki Nicolaides, Beshoy Morkos

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A011, August 14–17, 2022

Paper No: DETC2022-90863

DOI: https://doi.org/10.1115/DETC2022-90863

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Topics: Design, Manufacturing

Proceedings Papers

Envelope Method for Time- and Space-Dependent Reliability-Based Design

Hao Wu, Xiaoping Du

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A002, August 14–17, 2022

Paper No: DETC2022-89492

DOI: https://doi.org/10.1115/DETC2022-89492

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Topics: Design, Reliability, Uncertainty

Proceedings Papers

Surrogate Models and Time Series for Flow Prediction on the Red River Dam Network

Reza Alizadeh, Janet K. Allen, Farrokh Mistree

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A023, August 14–17, 2022

Paper No: DETC2022-88163

DOI: https://doi.org/10.1115/DETC2022-88163

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Topics: Artificial neural networks, Dams, Flow (Dynamics), Machine learning, Metamodeling, Rivers, Time series

Proceedings Papers

Designing Privacy Risk Frameworks for Evolving Cyber-Physical Social Systems: Knowledge Gaps Illuminated by the Case of Autonomous Vehicles and Bystander Privacy

Vivek Rao, Ankita Joshi, Soo Min Kang, Susan Lin, (Erin) Junghyun Song, Drew Miller, Kosa Goucher-Lambert, Alice Agogino

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A012, August 14–17, 2022

Paper No: DETC2022-90958

DOI: https://doi.org/10.1115/DETC2022-90958

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Topics: Autonomous vehicles, Design, Risk, Security

Proceedings Papers

Am I Right? Investigating the Influence of Trait Empathy and Attitudes Towards Sustainability on the Accuracy of Concept Evaluations in Sustainable Design

Mohammad Alsager Alzayed, Elizabeth M. Starkey, Sarah C. Ritter, Rohan Prabhu

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A007, August 14–17, 2022

Paper No: DETC2022-90029

DOI: https://doi.org/10.1115/DETC2022-90029

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Topics: Design, Green design, Sustainability

Proceedings Papers

Multi-Objective Bayesian Optimization Supported by Gaussian Process Classifiers and Conditional Probabilities

Homero Valladares, Andres Tovar

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A039, August 14–17, 2022

Paper No: DETC2022-91343

DOI: https://doi.org/10.1115/DETC2022-91343

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Topics: Composite materials, Optimization, Probability

Proceedings Papers

Bi-Objective Surrogate Feasibility Robust Design Optimization Utilizing Expected Non-Dominated Improvement With Relaxation

Randall J. Kania, Shapour Azarm

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A038, August 14–17, 2022

Paper No: DETC2022-91112

DOI: https://doi.org/10.1115/DETC2022-91112

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Topics: Design, Optimization, Relaxation (Physics)

Proceedings Papers

An Algorithm for Multi-Objective Efficient Parametric Optimization

Jonathan M. Weaver-Rosen, Richard J. Malak, Jr.

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A024, August 14–17, 2022

Paper No: DETC2022-88567

DOI: https://doi.org/10.1115/DETC2022-88567

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Topics: Algorithms, Optimization, Engineering design, Optimization algorithms, Design

Proceedings Papers

Generative Design of Cyber-Physical-Human System Families: Concepts and Research Issues

David W. Rosen, Young Mi Choi

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A013, August 14–17, 2022

Paper No: DETC2022-91265

DOI: https://doi.org/10.1115/DETC2022-91265

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Topics: Design, Generative design, Design methodology, Cyber-physical systems

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

Digital Engineering Platform for Synergistic Decision-Making In Manufacturing Plant Operations: Research Questions

B. P. Gautham, Natarajan Swaminathan, Rishabh Shukla, Trinath Gaduparthi, Chetan Malhotra

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A014, August 14–17, 2022

Paper No: DETC2022-91277

DOI: https://doi.org/10.1115/DETC2022-91277

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Topics: Decision making, Digital engineering, Manufacturing

NARROW

Descriptor Aided Bayesian Optimization for Mixed Variable Materials Design With High Dimensional Qualitative Variables

Phononic Metamaterial Design via Transfer Learning-Based Topology Optimization Framework

Experimental Investigation of Topology-Optimized Beams With Isotropic and Anisotropic Base Material Assumptions

Data Fusion as a Latent Space Learning Problem

Evaluating Designer Learning and Performance in Interactive Deep Generative Design

A Decision-Centric Perspective on Evolving Cyber-Physical-Social Systems: Effectiveness, Group Value, and Opportunities

Multi-Fidelity Reduced-Order Models for Multiscale Damage Analyses With Automatic Calibration

A Multi-Fidelity Approach for Reliability Assessment Based on the Probability of Model Inconsistency

Agent-Based Simulation of Optimal Trust in a Decision Support System in One-on-One Collaboration

Towards the Understanding of Nudging Strategies in Cyber-Physical-Social System In Manufacturing Environments

Envelope Method for Time- and Space-Dependent Reliability-Based Design

Surrogate Models and Time Series for Flow Prediction on the Red River Dam Network

Designing Privacy Risk Frameworks for Evolving Cyber-Physical Social Systems: Knowledge Gaps Illuminated by the Case of Autonomous Vehicles and Bystander Privacy

Am I Right? Investigating the Influence of Trait Empathy and Attitudes Towards Sustainability on the Accuracy of Concept Evaluations in Sustainable Design

Multi-Objective Bayesian Optimization Supported by Gaussian Process Classifiers and Conditional Probabilities

Bi-Objective Surrogate Feasibility Robust Design Optimization Utilizing Expected Non-Dominated Improvement With Relaxation

An Algorithm for Multi-Objective Efficient Parametric Optimization

Generative Design of Cyber-Physical-Human System Families: Concepts and Research Issues

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

Digital Engineering Platform for Synergistic Decision-Making In Manufacturing Plant Operations: Research Questions

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