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Inventory of Seismic Structural Evaluations, Performance Functions and Taxonomies for Buildings (INSSEPT)

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dc.contributor.authorZaker Esteghamati, Mohsenen
dc.contributor.authorLee, Jeonghyunen
dc.contributor.authorMusetich, Matthewen
dc.contributor.authorFlint, Madeleine M.en
dc.contributor.authorSharifi Mood, Mahyaren
dc.contributor.departmentCivil and Environmental Engineeringen
dc.date.accessioned2019-12-13T21:23:35Zen
dc.date.available2019-12-13T21:23:35Zen
dc.date.issued2019-11-25en
dc.description.abstractRelational database of published performance-based earthquake engineering and probabilistic seismic demand analysis results for mid-rise buildings. The database schema is organized based on building taxonomy information and prioritizes structural engineering use cases including comparison of alternative structural systems in early building design and regional seismic portfolio risk analysis. Data provenance, use cases, and sample queries are available in the accompanying manual, as well as two interactive Jupyter notebooks. A full description of the data provenance and schema design is provided in a related manuscript: Zaker Esteghamati, M., Lee J., Musetich M., Flint M. M., `INSSEPT: An open-source relational database of seismic performance estimation to aid with early design of buildings.'en
dc.description.sponsorshipNSF: CMMI-1455466en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.17603/ds2-k1g7-vg97en
dc.identifier.urihttp://hdl.handle.net/10919/95985en
dc.language.isoenen
dc.publisherDesignSafe-CIen
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 3.0 United Statesen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/en
dc.subjectSeismicen
dc.subjectEarthquakeen
dc.subjectPBEEen
dc.subjectFragilityen
dc.subjectPerformanceen
dc.subjectBuildingen
dc.subjectStructureen
dc.subjectPSDAen
dc.titleInventory of Seismic Structural Evaluations, Performance Functions and Taxonomies for Buildings (INSSEPT)en
dc.typeDataseten
dc.typeManualen
dc.type.dcmitypeTexten

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