Generative design: information flow between genetic algorithm and parametric design in a steel structure construction
This paper describes the construction of an information flow that combines parametric modelling and genetic algorithms to optimise both the total weight of a structured steel roof and the shape of its surface to maximise the generation potential of photovoltaic energy. Through the systematisation of...
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ANTAC - Associação Nacional de Tecnologia do Ambiente Construído
2021
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| Acceso en línea: | https://seer.ufrgs.br/ambienteconstruido/article/view/105818 |
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ojs-article-1058182021-08-09T14:42:54Z Generative design: information flow between genetic algorithm and parametric design in a steel structure construction Cruz, Renato Godoi da Arcipreste, Cláudia Maria Pinheiro, Rafael Lemieszek Ribas, Rovadávia Aline de Jesus Generative design, Genetic algorithms, Structural optimization, Environmental optimization, Steel construction This paper describes the construction of an information flow that combines parametric modelling and genetic algorithms to optimise both the total weight of a structured steel roof and the shape of its surface to maximise the generation potential of photovoltaic energy. Through the systematisation of a design process using genetic algorithms integrated with generative design as an architectural design method, architects can work with problem parameterisation, going one step further than the mere formal proposition of solutions. As a result, we present a process in which there is a dialogical relationship between the architect and project in a continuous flow of information in the initial steps of the design process, guided by predefined optimisation objectives. Therefore, it is relevant to note that the designer accepts a reduced creative control over the final shape in favor of control over the core principles that constitute the optimisation algorithms. An approach that involved the designer in a process of post computational processing evaluations is also highlighted, giving him better support to discuss and analyze the design options. ANTAC - Associação Nacional de Tecnologia do Ambiente Construído 2021-08-09 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://seer.ufrgs.br/ambienteconstruido/article/view/105818 Ambiente Construído; v. 21, n. 4 (2021); 271-289 Ambiente Construído; v. 21, n. 4 (2021); 271-289 Ambiente Construído; v. 21, n. 4 (2021); 271-289 1678-8621 1415-8876 eng https://seer.ufrgs.br/ambienteconstruido/article/view/105818/64010 Direitos autorais 2021 Ambiente Construído https://creativecommons.org/licenses/by/4.0 |
| institution |
Universidade Federal do Rio Grande do Sul |
| collection |
OJS |
| language |
eng |
| format |
Online |
| author |
Cruz, Renato Godoi da Arcipreste, Cláudia Maria Pinheiro, Rafael Lemieszek Ribas, Rovadávia Aline de Jesus |
| spellingShingle |
Cruz, Renato Godoi da Arcipreste, Cláudia Maria Pinheiro, Rafael Lemieszek Ribas, Rovadávia Aline de Jesus Generative design: information flow between genetic algorithm and parametric design in a steel structure construction |
| author_facet |
Cruz, Renato Godoi da Arcipreste, Cláudia Maria Pinheiro, Rafael Lemieszek Ribas, Rovadávia Aline de Jesus |
| author_sort |
Cruz, Renato Godoi da |
| title |
Generative design: information flow between genetic algorithm and parametric design in a steel structure construction |
| title_short |
Generative design: information flow between genetic algorithm and parametric design in a steel structure construction |
| title_full |
Generative design: information flow between genetic algorithm and parametric design in a steel structure construction |
| title_fullStr |
Generative design: information flow between genetic algorithm and parametric design in a steel structure construction |
| title_full_unstemmed |
Generative design: information flow between genetic algorithm and parametric design in a steel structure construction |
| title_sort |
generative design: information flow between genetic algorithm and parametric design in a steel structure construction |
| description |
This paper describes the construction of an information flow that combines parametric modelling and genetic algorithms to optimise both the total weight of a structured steel roof and the shape of its surface to maximise the generation potential of photovoltaic energy. Through the systematisation of a design process using genetic algorithms integrated with generative design as an architectural design method, architects can work with problem parameterisation, going one step further than the mere formal proposition of solutions. As a result, we present a process in which there is a dialogical relationship between the architect and project in a continuous flow of information in the initial steps of the design process, guided by predefined optimisation objectives. Therefore, it is relevant to note that the designer accepts a reduced creative control over the final shape in favor of control over the core principles that constitute the optimisation algorithms. An approach that involved the designer in a process of post computational processing evaluations is also highlighted, giving him better support to discuss and analyze the design options. |
| publisher |
ANTAC - Associação Nacional de Tecnologia do Ambiente Construído |
| publishDate |
2021 |
| url |
https://seer.ufrgs.br/ambienteconstruido/article/view/105818 |
| work_keys_str_mv |
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