Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Genetic Algorithm–Based Methodology for Design Optimization of Reinforced Concrete Frames
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.
Genetic Algorithm–Based Methodology for Design Optimization of Reinforced Concrete Frames
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.
Genetic Algorithm–Based Methodology for Design Optimization of Reinforced Concrete Frames
Rajeev, S. (Autor:in) / Krishnamoorthy, C. S. (Autor:in)
Computer‐Aided Civil and Infrastructure Engineering ; 13 ; 63-74
01.01.1998
12 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Genetic Algorithm-Based Methodology for Design Optimization of Reinforced Concrete Frames
| British Library Online Contents | 1998
Genetic Algorithm-Based Methodology for Design Optimization of Reinforced Concrete Frames.
| Online Contents | 1998
Flexural Design of Reinforced Concrete Frames by Genetic Algorithm
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Flexural Design of Reinforced Concrete Frames by Genetic Algorithm
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Flexural Design of Reinforced Concrete Frames Using a Genetic Algorithm
| Online Contents | 2003