Simultaneous Bayesian Calibration and Engineering Design With an Application to a Vibration Isolation SystemSource: Journal of Verification, Validation and Uncertainty Quantification:;2021:;volume( 006 ):;issue: 001::page 011007-1Author:Ehrett, Carl
,
Brown, D. Andrew
,
Kitchens, Christopher
,
Xu, Xinyue
,
Platz, Roland
,
Atamturktur, Sez
DOI: 10.1115/1.4050075Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Calibration of computer models and the use of those design models are two activities traditionally carried out separately. This paper generalizes existing Bayesian inverse analysis approaches for computer model calibration to present a methodology combining calibration and design in a unified Bayesian framework. This provides a computationally efficient means to undertake both tasks while quantifying all relevant sources of uncertainty. Specifically, compared with the traditional approach of design using parameter estimates from previously completed model calibration, this generalized framework inherently includes uncertainty from the calibration process in the design procedure. We demonstrate our approach to the design of a vibration isolation system. We also demonstrate how, when adaptive sampling of the phenomenon of interest is possible, the proposed framework may select new sampling locations using both available real observations and the computer model. This is especially useful when a misspecified model fails to reflect that the calibration parameter is functionally dependent upon the design inputs to be optimized.
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contributor author | Ehrett, Carl | |
contributor author | Brown, D. Andrew | |
contributor author | Kitchens, Christopher | |
contributor author | Xu, Xinyue | |
contributor author | Platz, Roland | |
contributor author | Atamturktur, Sez | |
date accessioned | 2022-02-05T22:11:43Z | |
date available | 2022-02-05T22:11:43Z | |
date copyright | 3/9/2021 12:00:00 AM | |
date issued | 2021 | |
identifier issn | 2377-2158 | |
identifier other | vvuq_006_01_011007.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4277099 | |
description abstract | Calibration of computer models and the use of those design models are two activities traditionally carried out separately. This paper generalizes existing Bayesian inverse analysis approaches for computer model calibration to present a methodology combining calibration and design in a unified Bayesian framework. This provides a computationally efficient means to undertake both tasks while quantifying all relevant sources of uncertainty. Specifically, compared with the traditional approach of design using parameter estimates from previously completed model calibration, this generalized framework inherently includes uncertainty from the calibration process in the design procedure. We demonstrate our approach to the design of a vibration isolation system. We also demonstrate how, when adaptive sampling of the phenomenon of interest is possible, the proposed framework may select new sampling locations using both available real observations and the computer model. This is especially useful when a misspecified model fails to reflect that the calibration parameter is functionally dependent upon the design inputs to be optimized. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Simultaneous Bayesian Calibration and Engineering Design With an Application to a Vibration Isolation System | |
type | Journal Paper | |
journal volume | 6 | |
journal issue | 1 | |
journal title | Journal of Verification, Validation and Uncertainty Quantification | |
identifier doi | 10.1115/1.4050075 | |
journal fristpage | 011007-1 | |
journal lastpage | 011007-13 | |
page | 13 | |
tree | Journal of Verification, Validation and Uncertainty Quantification:;2021:;volume( 006 ):;issue: 001 | |
contenttype | Fulltext |