Application of genetic algorithms to optimization of maintenance inspection, repair and reinforcement

机译：遗传算法在维修，修复和加固优化中的应用

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A study was made to identify the optimum plan that minimizes the costs of inspection, repair and reinforcement for reinforced concrete structures, using genetic algorithms (GAs). With reinforced concrete structures, their strength decreases with time due to salt damage, neutralization or other factors, and then safety and functionality also deteriorate. At present, therefore, regular inspections are made according to the maintenance and inspection manuals and the structures are repaired or reinforced based on the inspection results so as to ensure that their strength exceeds the structural requirement. In this study, an attempt was made to extract the cheapest inspection, repair and reinforcement strategy using inspection intervals and the methods and timing of repiar and reinforcement as parameters, under the restriction of keeping the safety and functionality of structures above the structurally required goals.

机译：采用研究来确定使用遗传算法（气体）最大限度地降低钢筋混凝土结构的检测，修复和加固费用的最佳计划。通过钢筋混凝土结构，它们的强度随着盐损伤，中和或其他因素而随时间而减少，然后安全性和功能性也恶化。因此，目前，根据维护和检查手册进行定期检查，并且基于检测结果修复或加强结构，以确保其强度超过结构要求。在这项研究中，在通过在构造上所需目标上方保持建筑物的安全性和功能的限制，采用检验间隔和参数的方法和调控作为参数的方法和时间来提取最便宜的检查，修复和强化战略，以提取最便宜的检查，修复和加固策略。

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《International conference on applications of statistics and probability》|2000年||共6页
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Masashi Suzuki; Kiyotaka Seki; Hideo Kan; Hitoshi Furuta; Michiyuki Hirokane; Makiko Saito; Yuji Takahashi; Yoshiteru Otani;
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中图分类概率论、数理统计的应用;
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Application of genetic algorithms to optimization of maintenance inspection, repair and reinforcement

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