Optimizing reinforced concrete beams cost based on AI-based Lagrange functions

This study aims to develop artificial neural networks (ANNs)-based forward Lagrange networks optimizing ductile doubly reinforced concrete (RC) beams. Cost (CIb) of materials and manufacture were established as an objective function, which is minimized considering constraints according to engineer’s...

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Autors principals:	Won-Kee Hong, Van Tien Nguyen, Manh Cuong Nguyen
Format:	Artigo
Idioma:	Inglês
Publicat:	Taylor & Francis Group 2022-11-01
Col·lecció:	Journal of Asian Architecture and Building Engineering
Matèries:	artificial neural networks doubly reinforced concrete beams lagrange multiplier method optimization design charts random design range
Accés en línia:	http://dx.doi.org/10.1080/13467581.2021.2007105
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