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Genetic Algorithm–Based Methodology for Design Optimization of Reinforced Concrete Frames
Author(s) -
Rajeev S.,
Krishnamoorthy C. S.
Publication year - 1998
Publication title -
computer‐aided civil and infrastructure engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.773
H-Index - 82
eISSN - 1467-8667
pISSN - 1093-9687
DOI - 10.1111/0885-9507.00086
Subject(s) - optimal design , genetic algorithm , computer science , mathematical optimization , reinforcement , reinforced concrete , ideal (ethics) , variable (mathematics) , structural engineering , mathematics , engineering , machine learning , mathematical analysis , philosophy , epistemology
Design optimization of reinforced concrete plane frames using genetic algorithm–based methodology is presented in this paper. Most of the approaches reported in the literature consider the design variables to be continuous, and the optimal solution obtained requires further modification to make it constructible. Since the area of reinforcement after detailing is different from that obtained theoretically, use of area of reinforcement as a continuous variable cannot provide rational solutions. Aspects such as detailing and placing of reinforcement in beams and columns and other issues related to construction are brought into the optimal design model presented in this paper. Genetic algorithm–based methodologies provide ideal techniques for handling such issues and generate rational optimal solutions. Examples of reinforced concrete plane frames are solved, and results are presented. Emphasis is placed on genetic modeling aspects, which provide mechanisms for considering realistically the practical issues, resulting in a rigorous optimal design model providing rational solutions.