Nonlinear Seismic Response and Residual Drift Determination Combining Ground Acceleration Data with Recorded Videos

Nonlinear Seismic Response and Residual Drift Determination Combining Ground Acceleration Data with Recorded Videos | 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 Nonlinear Seismic Response and Residual Drift Determination Combining Ground Acceleration Data with Recorded Videos Ruben boroschek, Trevor Yeow, Koichi Kusunoki This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5728190/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 28 Mar, 2025 Read the published version in Bulletin of Earthquake Engineering → Version 1 posted 5 You are reading this latest preprint version Abstract While we can only instrument a small number of structures with traditional sensors, cities have become surrounded by video cameras that record response of whatever is in their field of view. In this paper we have a proof of concept that if we combine the seismic response data derived from video cameras with input obtained from accelerometers installed at ground level, the linear and nonlinear response of the structure can be estimated. We present an application and validation in a laboratory environment on a plane steel frame under varying shaking amplitudes. Linear and nonlinear responses are monitored using standard acceleration and displacement sensors and later compared with the displacements derived from videos using standard computer vision techniques. No targets were used to track key features in the structure. The comparison of computer vision derived displacements with the traditional sensor data gives excellent results with differences in displacement time histories of less than 1%. Later, the derived computer vision relative to ground displacements are used in parametric input-output system identification to estimate the evolution of the modal parameters as a function of response amplitude. For this case, the synchronized input from an inertial accelerometer is used. The result from this identification process is nearly identical to the ones obtained using the traditional acceleration sensors. To extend its use, double differentiation of the computer vision derived displacement is used to estimate accelerations in a reduced frequency band with practically no difference with acceleration records on the selected band. There are several advantages detected from combining standard sensors and computer vision techniques, like full space definition of possible monitoring points and limiting the distortion of acceleration records due to structural rotations and the possibility to obtain residual displacements. The methodology to obtain reliable displacement is presented together with the determination of varying modal property as a function of shaking intensity and damage level. computer vision residual displacements system identification nonlinear response damage detection hybrid structural health monitoring Full Text Cite Share Download PDF Status: Published Journal Publication published 28 Mar, 2025 Read the published version in Bulletin of Earthquake Engineering → Version 1 posted Reviewers agreed at journal 07 Jan, 2025 Reviewers invited by journal 07 Jan, 2025 Editor invited by journal 05 Jan, 2025 Editor assigned by journal 30 Dec, 2024 First submitted to journal 28 Dec, 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. 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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-5728190","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":398845761,"identity":"8006d3d4-2014-470d-8bb9-d2c25d75526d","order_by":0,"name":"Ruben boroschek","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA5ElEQVRIiWNgGAWjYDACCQiVwM8MZbCxg6gCIrRINsO0gPUaEKHF4ACUwUBIi/ns5mMfPvyxyzM+znv4BWObXR4fM/MBhh94tMjcOZY8c2ZbcrHZYb40C0Ygg42ZLYGxB48WCYkcY2behgOJ2w7zmBkwth1IbGPmMWDG5zCwFp4/BxI3N8O18H8gQgvbgcQNzDzGD6C2MODXInMsmRHol8QZQIcxJJxLBmphMziI1y/SzYcZgCGW2N9/xvjDhzK7xPntzQ8f/KjArQUZsEkkQFkHiNPAwMD8gViVo2AUjIJRMLIAAEzFR/aR06XTAAAAAElFTkSuQmCC","orcid":"https://orcid.org/0000-0003-2253-2334","institution":"Universidad de Chile Facultad de Ciencias Fisicas y Matematicas","correspondingAuthor":true,"prefix":"","firstName":"Ruben","middleName":"","lastName":"boroschek","suffix":""},{"id":398845762,"identity":"2a11e3ba-cb24-4eb1-9989-ce3d7f922fcd","order_by":1,"name":"Trevor Yeow","email":"","orcid":"","institution":"Institute of Integrated Research, institute of science tokyo, Japan","correspondingAuthor":false,"prefix":"","firstName":"Trevor","middleName":"","lastName":"Yeow","suffix":""},{"id":398845763,"identity":"cd712310-01f8-4f26-bbe7-3b661550ebca","order_by":2,"name":"Koichi Kusunoki","email":"","orcid":"","institution":"University of Tokyo","correspondingAuthor":false,"prefix":"","firstName":"Koichi","middleName":"","lastName":"Kusunoki","suffix":""}],"badges":[],"createdAt":"2024-12-29 03:11:12","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-5728190/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5728190/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s10518-025-02142-9","type":"published","date":"2025-03-28T15:56:59+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":79604770,"identity":"c96f0fff-c6b8-4fa9-a05c-7c2fcfb94bc1","added_by":"auto","created_at":"2025-03-31 16:04:49","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":3263780,"visible":true,"origin":"","legend":"","description":"","filename":"ResidualDriftandResponseVisionandInertialSensor.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5728190/v1_covered_1db1a9d2-8e20-4fa0-835e-98897bbcf50c.pdf"}],"financialInterests":"","formattedTitle":"Nonlinear Seismic Response and Residual Drift Determination Combining Ground Acceleration Data with Recorded Videos","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":true,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"bulletin-of-earthquake-engineering","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"beee","sideBox":"Learn more about [Bulletin of Earthquake Engineering](https://www.springer.com/journal/10518)","snPcode":"10518","submissionUrl":"https://submission.nature.com/new-submission/10518/3","title":"Bulletin of Earthquake Engineering","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"computer vision, residual displacements, system identification, nonlinear response, damage detection, hybrid structural health monitoring","lastPublishedDoi":"10.21203/rs.3.rs-5728190/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5728190/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"While we can only instrument a small number of structures with traditional sensors, cities have become surrounded by video cameras that record response of whatever is in their field of view. 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