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contributor authorMesnil, Olivier
contributor authorRecoquillay, Arnaud
contributor authorDruet, Tom
contributor authorSerey, Valentin
contributor authorHoang, Huu Tinh
contributor authorImperiale, Alexandre
contributor authorDemaldent, Edouard
date accessioned2022-02-06T05:47:11Z
date available2022-02-06T05:47:11Z
date copyright4/19/2021 12:00:00 AM
date issued2021
identifier issn2572-3901
identifier othernde_4_4_041003.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4278757
description abstractIn guided wave structural health monitoring (GW-SHM), a strong need for reliable and fast simulation tools has been expressed throughout the literature to optimize SHM systems or demonstrate performance. Even though guided wave simulations can be conducted with most finite elements software packages, computational and hardware costs are always prohibitive for large simulation campaigns. A novel SHM module has been recently added to the civa software and relies on unassembled high-order finite elements to overcome these limitations. This article focuses on the thorough validation of civa for SHM to identify the limits of the models. After introducing the key elements of the civa SHM solution, a first validation is presented on a stainless steel pipe representative of the oil and gas industry. Second, validation is conducted on a composite panel with and without stiffener representative of some structures in the aerospace industry. Results show a good match between the experimental and simulated datasets, but only if the input parameters are fully determined before the simulations.
publisherThe American Society of Mechanical Engineers (ASME)
titleExperimental Validation of Transient Spectral Finite Element Simulation Tools Dedicated to Guided Wave-Based Structural Health Monitoring
typeJournal Paper
journal volume4
journal issue4
journal titleJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
identifier doi10.1115/1.4050708
journal fristpage041003-1
journal lastpage041003-12
page12
treeJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2021:;volume( 004 ):;issue: 004
contenttypeFulltext


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