Modeling the nonlinear behavior of ACC for SCFST columns using experimental-data and a novel evolutionary-algorithm

Title
Modeling the nonlinear behavior of ACC for SCFST columns using experimental-data and a novel evolutionary-algorithm
Authors
Keywords
Axial compression capacity (ACC), Machine learning, Gene expression programing (GEP), Square concrete-filled steel tubular (SCFST) columns, Empirical correlations, External validation
Journal
Structures
Volume 30, Issue -, Pages 692-709
Publisher
Elsevier BV
Online
2021-02-04
DOI
10.1016/j.istruc.2021.01.036

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