nonlinear site effect model for the horizontal component of ground-motion prediction equations using VS30 derived from the KiK-net and K-NET sites in Japan | 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 site effect model for the horizontal component of ground-motion prediction equations using VS30 derived from the KiK-net and K-NET sites in Japan Hou Ruibin, John Zhao This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4845064/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 The time-averaged shear-wave velocity in the top 30 meters of soil and rock, V S30 , is the most commonly used site-effect proxy for ground-motion prediction equations (GMPEs). This article presents a nonlinear site amplification model, referred to as the 1D T VS30 model, which uses V S30 as a site-effect proxy for the horizontal component of motion for GMPEs, based on seismic data from Japan. The site amplification ratios were from Hou and Zhao ( 2022 ) using site period T S , and the site shear-wave velocity profiles were also from Hou and Zhao ( 2022 ) based on the selected KiK-net and K-NET networks. The data distribution characteristics show that 1D site amplification ratio data could compensate well for the scarcity of empirical data at strong shaking levels, and provide a more confident constraint on model development. The 1D T VS30 model in this study has a larger between-site standard deviation and slightly smaller within-site standard deviation than the 1D T S model that we published previously. The predicted site amplification ratios from the two models are close for sites with shallow soil but are significantly different for sites with deep soil. The method proposed in our previous study is recommended to implement the 1D T VS30 model into GMPEs. We also performed an informal test to validate our model. This matches well with ground-motion records with moderately or strong nonlinear site response in the NGA-West2 and NGA-Subduction datasets, especially for the NGA-Subduction records at the spectral periods up to 1.0s. Further comparison with other published models suggests that the nonlinearity of our model is moderately stronger than, or close to that of the NGA-West2 and NGA-Subduction models and is weaker than that of an existing model for Taiwan. Full Text Supplementary Files Esupp1Suppinfo20240801.docx Esupp21DNLVS30Modelrelease.xlsm Esupp3EmpiricaldatafromNGA.xlsx 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. 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