Ensemble Machine Learning Models for Estimating Mechanical Curves of Concrete-Timber-Filled Steel Tubes
Description
A set of 88 models of CTFSTs was provided in ABAQUS software, focusing on parameters of D, as steel tube diameter, D/t as the diameter-to-thickness ratio, and AT, AC, and AS for cross-sectional areas of timber, concrete, and steel, respectively. Moreover, fc, fy, and fT present the compressive strength of concrete, steel tube, and timber used in the CTFSTs. A full description of the inputs and outputs has been provided in the paper titled "Ensemble Machine Learning Models for Estimating Mechanical Curves of Concrete-Timber-Filled Steel Tubes" published in Engineering Applications of Artificial Intelligence. Please see the link below to find the paper.
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Publication Details
DOI
Publisher
Mendeley Data
Subfield
Civil and Structural Engineering
Field
Engineering
Domain
Physical Sciences
Confidence Score
56%
Source
Scholar Data Model