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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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Claim

Databases of one-way slabs under concentrated loads: parameter analyses and validation of the proposed approach

Research datakeyboard_double_arrow_right Dataset 27 Jan 2022 English Publisher:Zenodo
Authors: De Sousa, Alex Micael Dantas; Lantsoght, Eva Olivia Leontien; Debs, Mounir Khalil El;

doi: 10.5281/zenodo.5911469 , 10.5281/zenodo.5911468

Databases of one-way slabs under concentrated loads: parameter analyses and validation of the proposed approach

Abstract

This database includes information about loading, geometry, failure loads, and failure modes of slabs under concentrated loads under different support conditions. Different datasets were organized for (i) identifying the relation between specific parameters on the governing failure mechanism of the tested slabs and (ii) for validating a proposed approach to predict the shear and punching capacity of slabs under concentrated loads using the ACI 318-19 code expressions.

ACKNOWLEDGMENTS: The authors acknowledge the financial support provided by the Brazilian National Council for Scientific and Technological Development (CNPq) (grant number #303438/2016-9) and the S��o Paulo Research Foundation (FAPESP) (grant number #2018/21573-2 and grant number #2019/20092-3).

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Keywords

database of one-way slabs, one-way shear, punching, reinforced concrete

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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