{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T14:59:58Z","timestamp":1790866798308,"version":"4.1.0"},"reference-count":0,"publisher":"University of Kragujevac, Faculty of Mechanical and Civil Engineering","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"abstract":"<jats:p>Nonlinear moment\u2013curvature (M\u2013\u03c6) analysis is essential for evaluating the strength and ductility of reinforced concrete (RC) structures. Traditional numerical methods, such as iterative fiber analysis, provide high accuracy but are computationally intensive. This paper presents the evolution of approaches \u2013 from empirical and classical numerical methods to modern artificial intelligence (AI)-based models. Examples of applying artificial neural networks (ANN) and hybrid ANFIS models for predicting the nonlinear response of beams, columns, and beam\u2013column joints are analyzed. Special attention is given to model architecture, input\u2013output parameters, and prediction accuracy. The paper discusses differences between pointwise and parametric models, as well as recent approaches enhancing ANN interpretability. The study provides a critical review of ANN applications in defining moment\u2013curvature relationships and identifies directions for future research in structural engineering.<\/jats:p>","DOI":"10.46793\/et26.g06m","type":"proceedings-article","created":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T14:42:38Z","timestamp":1790865758000},"page":"G35-G43","source":"Crossref","is-referenced-by-count":0,"title":["Evolution of nonlinear analysis of RC sections: From iterative computations to rapid moment\u2013curvature prediction using ANN models"],"prefix":"10.46793","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0182-7993","authenticated-orcid":false,"given":"Bojan","family":"Milo\u0161evi\u0107","sequence":"first","affiliation":[{"name":"University of Kragujevac, Faculty of Mechanical Engineering and Civil Engineering in Kraljevo, Kraljevo, Serbia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0447-7426","authenticated-orcid":false,"given":"Nenad","family":"Koji\u0107","sequence":"additional","affiliation":[{"name":"Academy of technical and art applied studies, Department of Information and Communication Technologies, Belgrade, Serbia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marijana","family":"Janicijevi\u0107 Mila\u010dak","sequence":"additional","affiliation":[{"name":"University of Kragujevac, Faculty of Mechanical Engineering and Civil Engineering in Kraljevo, Kraljevo, Serbia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"24947","published-online":{"date-parts":[[2026]]},"event":{"name":"XII Triennial International Scientific Conference Engineering Today","acronym":"ET2026"},"container-title":["Conference Proceedings"],"original-title":[],"deposited":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T14:42:39Z","timestamp":1790865759000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.et.kg.ac.rs\/proceedings\/et2026-g06\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":0,"URL":"https:\/\/doi.org\/10.46793\/et26.g06m","relation":{},"subject":[],"published":{"date-parts":[[2026]]}}}