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

机译：遗传算法在维修检查，维修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：进行了一项研究，以确定使用遗传算法（GA）的最佳计划，该计划可以最大程度地减少对钢筋混凝土结构进行检查，维修和加固的费用。对于钢筋混凝土结构，其强度会因盐害，中和或其他因素而随时间降低，因此安全性和功能性也会下降。因此，目前根据维护和检查手册进行定期检查，并根据检查结果对结构进行修理或加固，以确保其强度超过结构要求。在这项研究中，尝试在保持结构的安全性和功能性超出结构要求的限制的情况下，以检查间隔以及更换和加固的方法和时间作为参数来提取最便宜的检查，维修和加固策略。

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《International conference on applications of statistics and probability;ICASP8》|1999年|p.643-648|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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中图分类一般工业技术;
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Application of genetic algorithms to optimization of maintenance inspection, repair and reinforcement

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