Nonlinear Seismic Fragility Analysis of RC Framed Structure Using Incremental Dynamic Analysis

Nonlinear Seismic Fragility Analysis of RC Framed Structure Using Incremental Dynamic Analysis | 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 Fragility Analysis of RC Framed Structure Using Incremental Dynamic Analysis Prajakta.S.Bavache, Dr. R. M. Desai This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7221204/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This study presents a comprehensive assessment of the seismic performance of framed structural systems through the application of nonlinear dynamic analysis techniques. The methodology involves subjecting a structural model to a series of ground motion records, each scaled progressively to simulate increasing seismic intensity levels. This approach enables the evaluation of structural behavior across a broad range of performance states, from initial elastic response to ultimate collapse. Critical engineering demand parameters, such as inter-storey drift and base shear, are tracked throughout the analysis to characterize the development of structural damage. Based on the dynamic response data, analytical fragility curves are constructed to quantify the likelihood of exceeding predefined damage states under varying seismic intensities. These curves serve as a probabilistic tool for identifying potential vulnerabilities and for estimating seismic risk. The outcomes contribute valuable insights into structural reliability under earthquake loading and support the implementation of performance-based assessment frameworks. By integrating contemporary analytical procedures and recent developments in seismic evaluation, the study enhances the accuracy and applicability of fragility-based approaches in structural engineering. Civil Engineering Nonlinear analysis Fragility analysis RC framed Structure Ground Motion Peak Ground Acceleration Incremental Dynamic Analysis Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted 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. 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-7221204","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":491249107,"identity":"4a7858b9-94bd-44b7-8428-00b704d17052","order_by":0,"name":"Prajakta.S.Bavache","email":"","orcid":"","institution":"Sanjay Ghodawat University, Kolhapur","correspondingAuthor":false,"prefix":"","firstName":"","middleName":"","lastName":"Prajakta.S.Bavache","suffix":""},{"id":491249108,"identity":"e3c508e8-fd74-441c-9579-94abefa401ed","order_by":1,"name":"Dr. R. M. 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