Random Forests Machine Learning Applied to PEER Structural Performance Experimental Columns Database
Author:
Affiliation:
1. School of Science and Technology, Hellenic Open University, Parodos Aristotelous 18, 26335 Patras, Greece
2. Department of Food Science & Technology, University of Patras, Agrinio Campus, G. Seferi 2, 30100 Agrinio, Greece
Abstract
Funder
the Alexander S. Onassis Public Benefit Foundation
Publisher
MDPI AG
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Link
https://www.mdpi.com/2076-3417/13/23/12821/pdf
Reference30 articles.
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2. Megalooikonomou, K.G. (2019). Seismic Assessment and Retrofit of Reinforced Concrete Columns, Cambridge Scholars Publishing. [1st ed.].
3. Machine Learning-Based Failure Mode Recognition of Circular Reinforced Concrete Bridge Columns: Comparative Study;Mangalathu;ASCE J. Struct. Eng.,2019
4. The promise of implementing machine learning in earthquake engineering: A state-of-the-art review;Xie;Earthq. Spectra,2020
5. Surrogate modeling and failure surface visualization for efficient seismic vulnerability assessment of highway bridges;Ghosh;Probab. Eng. Mech.,2013
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1. A Machine-Learning-Based Failure Mode Classification Model for Reinforced Concrete Columns Using Simple Structural Information;Applied Sciences;2024-02-02
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