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