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contributor authorBi, Sifeng
contributor authorBeer, Michael
contributor authorOuisse, Morvan
contributor authorCogan, Scott
date accessioned2022-02-04T14:29:06Z
date available2022-02-04T14:29:06Z
date copyright2020/05/14/
date issued2020
identifier issn2332-9017
identifier otherrisk_006_03_030301.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4273758
description abstractIt 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.
publisherThe American Society of Mechanical Engineers (ASME)
titleSpecial Section on Uncertainty Management in Complex Multiphysics Structural Dynamics
typeJournal Paper
journal volume6
journal issue3
journal titleASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
identifier doi10.1115/1.4047097
page30301
treeASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2020:;volume( 006 ):;issue: 003
contenttypeFulltext


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