Integrating Energy-Based Principles to Damage Quantification of Code Compliant Frame Members Through Machine Learning Methods

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Authors: Ziya Müderrisoğlu, Ahmet Anıl Dindar, Ahmet Güllü, Ali Bozer, Hasan Özkaynak
Cited by: 1

Abstract

This is the image of the energy dissipation prediction of the RC beam and colums as per the study titled as "Integrating Energy-Based Principles to Damage Quantification of Code Compliant Frame Members Through Machine Learning Methods" by Ziya Muderrisoglu1*, Ahmet Anıl Dindar2, Ahmet Güllü3, Ali Bozer4, Hasan Özkaynak1 1 Istanbul Beykent University, Department of Civil Engineering, Istanbul, Türkiye 2 Gebze Technical University, Department of Civil Engineering, Kocaeli, Türkiye 3 Istanbul Technical University, Faculty of Civil Engineering, Istanbul, Türkiye 4 Eskişehir Technical University, Department of Civil Engineering, Eskişehir, Türkiye

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
26 May 2026
Language
EN
Document type
Dataset