Fundamental Period of Steel Braced RC Structures

This dataset comprises 17,280 unique building models, with each model characterized by different building parameters and corresponding eigenvalue modal analysis results for both Concentrically Braced Frames (CBFs) and Eccentrically Braced Frames (EBFs). Building parameters taken into consideration include, but are not limited to, the type and installation position of bracing, the number of storeys, the dimensions of bays in X and Y directions, the depth of the beam, the width of the column, the type of bracing, and the properties of the materials used.Additionally, the data is presented in a tabular CSV format, which allows for easy access and manipulation of the data. Each row in the CSV file represents a unique building model, with the corresponding parameters and fundamental vibrational period specified in the columns. This format facilitates easy navigation, understanding, and application of the data.In conclusion, this dataset serves as an extensive tool for future research in structural engineering, particularly in the area of seismic behaviour. It paves the way for a more nuanced understanding of steel-braced reinforced concrete structures and aids in the development of sophisticated predictive models. Its significant potential for reuse in diverse contexts, from refining design methodologies to developing machine learning models, underlines its broader value to the academic and professional community.

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Identifier
DOI https://doi.org/10.17632/dm227xmgx2.1
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-0r-kqq9
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:314209
Provenance
Creator Rahman, T
Publisher Data Archiving and Networked Services (DANS)
Contributor Taimur Rahman
Publication Year 2023
Rights info:eu-repo/semantics/openAccess; License: http://creativecommons.org/licenses/by/4.0; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Representation
Resource Type Dataset
Discipline Other