Special Section on Uncertainty Management in Complex Multiphysics Structural DynamicsSource: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2020:;volume( 006 ):;issue: 003DOI: 10.1115/1.4047097Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: It has been widely recognized that the inevitable uncertainties in both operational experiments and numerical analyses require efforts to be addressed appropriately within the overall area of Computational Mechanics Engineering. This endeavor includes critical tasks such as numerical model calibration, updating, verification, and validation. Nondeterministic modeling approaches enable characterization, propagation, and quantification of the inevitable uncertainties, providing model predictions over a possible range of outcomes (distributional, interval, fuzzy, etc.) rather than a unique solution with maximum fidelity to a single experiment. Such approaches applied in structural dynamics significantly promote the tendency toward high accuracy and robustness in computer-aided engineering.
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contributor author | Bi, Sifeng | |
contributor author | Beer, Michael | |
contributor author | Ouisse, Morvan | |
contributor author | Cogan, Scott | |
date accessioned | 2022-02-04T14:29:06Z | |
date available | 2022-02-04T14:29:06Z | |
date copyright | 2020/05/14/ | |
date issued | 2020 | |
identifier issn | 2332-9017 | |
identifier other | risk_006_03_030301.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4273758 | |
description abstract | It has been widely recognized that the inevitable uncertainties in both operational experiments and numerical analyses require efforts to be addressed appropriately within the overall area of Computational Mechanics Engineering. This endeavor includes critical tasks such as numerical model calibration, updating, verification, and validation. Nondeterministic modeling approaches enable characterization, propagation, and quantification of the inevitable uncertainties, providing model predictions over a possible range of outcomes (distributional, interval, fuzzy, etc.) rather than a unique solution with maximum fidelity to a single experiment. Such approaches applied in structural dynamics significantly promote the tendency toward high accuracy and robustness in computer-aided engineering. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Special Section on Uncertainty Management in Complex Multiphysics Structural Dynamics | |
type | Journal Paper | |
journal volume | 6 | |
journal issue | 3 | |
journal title | ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg | |
identifier doi | 10.1115/1.4047097 | |
page | 30301 | |
tree | ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2020:;volume( 006 ):;issue: 003 | |
contenttype | Fulltext |