Damage detection of frame structure using a novel time-domain regression method

Damage detection of frame structure using a novel time-domain regression method | 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 Damage detection of frame structure using a novel time-domain regression method Xingle Ji, Xueyong Xu, Huang Kun This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4098093/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 9 You are reading this latest preprint version Abstract Shear structure model is the most frequently used to model for the damage detection of frame building structures. However, due to the existence of modelling error, using a shear structure model to perform damage detection of a complex frame structure often results in inaccurate detection results. In this paper, a novel reduced model for the frame is proposed, which converts a multi-story multi-bay plane frame into a beam-like model, having one translational and two rotational degrees-of-freedom for each floor. Based on the new model, a novel time-domain regression method (TDRM) was established using the spectral density function between the horizontal acceleration of the frame floor and the reference response to identify the equivalent layer stiffness and damping parameters. Finally, a five-story two-bay frame structure is used to demonstrate the efficacy of the proposed time-domain regression method of estimating structural parameters and identifying structural damage.The results show that this method can identify, locate, and quantify the structural stiffness changes accurately. Frame structure Regression method Parameter identification Damage detection Structural health monitoring Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 18 Apr, 2024 Reviews received at journal 18 Apr, 2024 Reviews received at journal 30 Mar, 2024 Reviewers agreed at journal 28 Mar, 2024 Reviewers agreed at journal 25 Mar, 2024 Reviewers invited by journal 23 Mar, 2024 Editor assigned by journal 18 Mar, 2024 Submission checks completed at journal 18 Mar, 2024 First submitted to journal 14 Mar, 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. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4098093","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":283615664,"identity":"c746709a-da6d-4b13-abe3-3833ceca590e","order_by":0,"name":"Xingle Ji","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA3klEQVRIiWNgGAWjYDACZiB+wMDGww/iJBQQqyUBqEWyAcQwINamBCA2OABiEaPF4Djv4RcJFXwyxudXJ354YMAgzy92AL8WyWa+NIuEM2w8ZjfebpYAOsxw5uwE/Fr4mXnMDBLbQFrObgBpSTC4TUALG1jLPzYe4xlnN/8gSgvQFuMHiQ1sPAb8vduIs0WymceMIeEYG4/EDd5tFgkGEoT9YnD+jPGHDzXH7Pn7z26++aPCRp5fmoAWkHckGBiOMTBIgFVKEFQOAswfGBhqgL46QJTqUTAKRsEoGIEAAJOSPkATQyKGAAAAAElFTkSuQmCC","orcid":"","institution":"Huzhou Vocational and Technical College","correspondingAuthor":true,"prefix":"","firstName":"Xingle","middleName":"","lastName":"Ji","suffix":""},{"id":283615665,"identity":"930e5628-6b62-4f33-ba04-ae3784370b4f","order_by":1,"name":"Xueyong Xu","email":"","orcid":"","institution":"Huzhou Vocational and Technical College","correspondingAuthor":false,"prefix":"","firstName":"Xueyong","middleName":"","lastName":"Xu","suffix":""},{"id":283615666,"identity":"1b7690ec-3d66-4e53-b294-76f7f0062e14","order_by":2,"name":"Huang Kun","email":"","orcid":"","institution":"Huzhou Vocational and Technical College","correspondingAuthor":false,"prefix":"","firstName":"Huang","middleName":"","lastName":"Kun","suffix":""}],"badges":[],"createdAt":"2024-03-14 07:13:47","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4098093/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4098093/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":53527363,"identity":"1140f5f5-4525-46c8-9d75-7fac74b85d04","added_by":"auto","created_at":"2024-03-27 05:20:44","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":724565,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4098093/v1_covered_e4311940-6d09-46c3-96d7-49a086c1613e.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Damage detection of frame structure using a novel time-domain regression method","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"discover-applied-sciences","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"","sideBox":"Learn more about [Discover Applied Sciences](https://link.springer.com/journal/42452)","snPcode":"42452","submissionUrl":"https://submission.springernature.com/new-submission/42452/3","title":"Discover Applied Sciences","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Discover Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Frame structure, Regression method, Parameter identification, Damage detection, Structural health monitoring","lastPublishedDoi":"10.21203/rs.3.rs-4098093/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4098093/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eShear structure model is the most frequently used to model for the damage detection of frame building structures. 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