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contributor authorZhou, Bin
contributor authorZi, Bin
contributor authorZhu, Weidong
date accessioned2022-02-06T05:37:33Z
date available2022-02-06T05:37:33Z
date copyright5/13/2021 12:00:00 AM
date issued2021
identifier issn1530-9827
identifier otherjcise_21_6_061006.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4278420
description abstractStatic response analysis of a dual crane system (DCS) is conducted using fuzzy parameters. The fuzzy static equilibrium equation is established and two fuzzy perturbation methods, including the compound function/fuzzy perturbation method (CFFPM) and modified compound function/fuzzy perturbation method (MCFFPM), are presented. The CFFPM uses the level-cut technique to transform the fuzzy static equilibrium equation into several interval equations with different cut levels. The interval Jacobian matrix, the first and second interval virtual work vectors, and the inverse of interval Jacobian matrix are approximated by the first-order Taylor series and Neumann series. The fuzzy static response field for every cut level is obtained by a synthesis of the compound function technique, the interval perturbation method, and the fuzzy algorithm. In the MCFFPM, the fuzzy static response field for every cut level is derived based on the surface rail generation method, the modified Sherman–Morrison–Woodbury (SMW) formula, and the fuzzy theory. Compared with the Monte Carlo method (MCM), numerical examples demonstrate that the MCFFPM has a better accuracy than the CFFPM and both of them bring a higher efficiency than the MCM, especially when it comes to effects of fuzzy parameters on uncertainty quantification (UQ) of the static response of the DCS.
publisherThe American Society of Mechanical Engineers (ASME)
titleStatic Response Analysis of a Dual Crane System Using Fuzzy Parameters
typeJournal Paper
journal volume21
journal issue6
journal titleJournal of Computing and Information Science in Engineering
identifier doi10.1115/1.4050618
journal fristpage061006-1
journal lastpage061006-26
page26
treeJournal of Computing and Information Science in Engineering:;2021:;volume( 021 ):;issue: 006
contenttypeFulltext


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