Sub-structural damage identification through Craig-Bampton sub-structuring and Gray Wolf Optimizer (GWO)

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Abstract In this study, a method is proposed for damage identification of 2D moment resisting frames by utilizing Craig-Bampton sub-structuring and GWO. Initially, an index based on the Discrete Wavelet Transform (DWT) of the first mode shape variation is employed to identify the potentially damaged substructures. Subsequently, the global structure is partitioned into damaged and undamaged substructures, making modal analysis of each substructure more computationally efficient, easier, and less time-consuming. Additionally, an iterative GWO procedure is conducted at a lower computational cost due to the reduction in the size of the decision variable vector, which corresponds to the number of elements in the damaged substructures. Finally, the extent of the damaged elements located in the suspected substructures from the previous stage is estimated based on the GWO results.
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Sub-structural damage identification through Craig-Bampton sub-structuring and Gray Wolf Optimizer (GWO) | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Sub-structural damage identification through Craig-Bampton sub-structuring and Gray Wolf Optimizer (GWO) Vahid Darijani, Mohammad Reza Banan, Mahmoud Reza Banan This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4804131/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 16 Dec, 2024 Read the published version in Iranian Journal of Science and Technology, Transactions of Civil Engineering → Version 1 posted 13 You are reading this latest preprint version Abstract In this study, a method is proposed for damage identification of 2D moment resisting frames by utilizing Craig-Bampton sub-structuring and GWO. Initially, an index based on the Discrete Wavelet Transform (DWT) of the first mode shape variation is employed to identify the potentially damaged substructures. Subsequently, the global structure is partitioned into damaged and undamaged substructures, making modal analysis of each substructure more computationally efficient, easier, and less time-consuming. Additionally, an iterative GWO procedure is conducted at a lower computational cost due to the reduction in the size of the decision variable vector, which corresponds to the number of elements in the damaged substructures. Finally, the extent of the damaged elements located in the suspected substructures from the previous stage is estimated based on the GWO results. damage identification Craig-Bampton sub-structuring GWO DWT Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 16 Dec, 2024 Read the published version in Iranian Journal of Science and Technology, Transactions of Civil Engineering → Version 1 posted Editorial decision: Revision requested 08 Aug, 2024 Reviews received at journal 08 Aug, 2024 Reviews received at journal 07 Aug, 2024 Reviews received at journal 05 Aug, 2024 Reviewers agreed at journal 30 Jul, 2024 Reviewers agreed at journal 29 Jul, 2024 Reviewers agreed at journal 29 Jul, 2024 Reviewers agreed at journal 29 Jul, 2024 Reviewers agreed at journal 29 Jul, 2024 Reviewers invited by journal 29 Jul, 2024 Editor assigned by journal 26 Jul, 2024 Submission checks completed at journal 26 Jul, 2024 First submitted to journal 25 Jul, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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