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Keywords: Reliability-based design optimization
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Proceedings Papers
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
... process, and the results show that uncertainties of variables can strongly affect the system reliability and the volume of the salt cavern. salt cavern carbon capture and storage finite element modeling Gaussian process reliability-based design optimization Proceedings of the ASME 2022...
Proceedings Papers
Proc. ASME. IDETC-CIE2010, Volume 1: 36th Design Automation Conference, Parts A and B, 1065-1076, August 15–18, 2010
Publisher: American Society of Mechanical Engineers
Paper No: DETC2010-28597
... 21 03 2011 For reliability-based design optimization (RBDO), generating an input statistical model with confidence level has been recently proposed to offset the inaccurate estimation of the input statistical model with Gaussian distributions. For this, the confidence intervals of mean...
Topics:
Reliability-based optimization
Proceedings Papers
Proc. ASME. IDETC-CIE2009, Volume 5: 35th Design Automation Conference, Parts A and B, 1047-1056, August 30–September 2, 2009
Publisher: American Society of Mechanical Engineers
Paper No: DETC2009-86183
... 30 07 2010 In this work we extend a filter-based sequential quadratic programming (SQP) algorithm to solve reliability-based design optimization (RBDO) problems with highly nonlinear constraints. This filter-based SQP uses the approach of average importance sampling (AAIS...
Proceedings Papers
Proc. ASME. IDETC-CIE2008, Volume 1: 34th Design Automation Conference, Parts A and B, 1123-1132, August 3–6, 2008
Publisher: American Society of Mechanical Engineers
Paper No: DETC2008-49415
... the upper and lower tanks is found to be well represented by a Gaussian distribution. The stochastic behavior of the pressure loading is modeled by a Markov-chain process. All models are integrated in a reliability-based design optimization problem formulation that has both time-independent and time...
