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Section-Based DataBase Schema: optimal design of reinforced concrete elements based on multi-objective brute force search (Code)

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Mendeley Data2024-03-27 更新2024-06-26 收录
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This repository contains Python codes implementing the Section Beam Database Search (SBDBS) method for optimizing Reinforced Concrete (RC) beam design. Utilizing a multi-objective optimization approach, the codes facilitate the generation of optimal beam sections considering various design variables, adhering to ACI code constraints. By employing non-dominated sorting improved brute force search method, the SBDBS significantly reduces computational cost, ensuring optimal solutions for cost, moment resistance, and energy dissipation. Intended for researchers, engineers, and decision-makers, this tool aids in achieving cost-effective, robust RC design.

创建时间:
2024-01-23
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