Selection of accelerometric time histories for the Lazio region (Italy) by clustering of probabilistic seismic hazard data

Selection of accelerometric time histories for the Lazio region (Italy) by clustering of probabilistic seismic hazard data | 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 Selection of accelerometric time histories for the Lazio region (Italy) by clustering of probabilistic seismic hazard data Salomon Hailemikael, Guido Martini, Claudia Mascandola, Simone Barani, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4687858/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 27 Aug, 2025 Read the published version in Bulletin of Earthquake Engineering → Version 1 posted 5 You are reading this latest preprint version Abstract Selection of accelerometric time histories is a fundamental step in seismic microzonation studies as well as in structural and ground response analyses. In this study, we propose an update of the procedure of Mascandola et al. ( 2020 ) for record selection in vast areas, which is based on cluster analysis of seismic hazard data to identify zones (called mesozones) that are homogeneous in terms of seismic hazard. This procedure was applied in the Lazio region in Central Italy. For each mesozone, two conditional spectra (computed for two conditioning oscillator periods) were defined and then adopted as reference for the selection of real accelerometric records. Such records were selected from a large sample of accelerograms that include earthquakes having magnitude and distance consistent with the seismic scenarios controlling the hazard. Before record selection, two algorithms for seismic mesozonation were compared: K-means and spectral clustering. We found that the latter provides a zonation that is more consistent with the spatial distribution of the seismic hazard as well as of hazard disaggregation, and is therefore suggested for record selection in vast areas. Full Text Supplementary Files Supplementarymaterial1.docx Cite Share Download PDF Status: Published Journal Publication published 27 Aug, 2025 Read the published version in Bulletin of Earthquake Engineering → Version 1 posted Reviewers agreed at journal 13 Mar, 2025 Editor invited by journal 13 Mar, 2025 Reviewers invited by journal 06 Jul, 2024 Editor assigned by journal 05 Jul, 2024 First submitted to journal 04 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. 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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-4687858","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":323436648,"identity":"2e83fdd6-31c0-40f6-8a7d-be1273a99e33","order_by":0,"name":"Salomon 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