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Cost optimization of segmental precast concrete bridges superstructure using genetic algorithm

机译:使用遗传算法进行节段预制混凝土桥梁的成本优化

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The construction of segmental precast concrete bridge is an increase due to its superior performance and economic advantages. This type of bridge is appropriate for spans within 30 to 150 m (100 to 500 ft), known as mega-projects and the design optimization would lead to considerable economic benefits. A box-girder cross section superstructure of balanced cantilever construction method is assessed here. The depth of cross section, (variable along the span linearly), bottom flange thickness, and the count of strands are considered as design variables. The optimum design is characterized by geometry, serviceability, ductility, and ultimate limit states specified by AASHTO. Genetic algorithm (GA) is applied in two fronts: as to the saving in construction cost 8% and as to concrete volume 6%. The sensitivity analysis is run by considering different parameters like span/depth ratio, relation between superstructure cost, span length and concrete compressive strength.
机译:由于其卓越的性能和经济优势,节段预制混凝土桥梁的构建是增长。这种类型的桥适合于30至150米(100至500英尺)以内的跨度,称为Mega-Projects,设计优化会导致相当大的经济效益。在此评估平衡悬臂施工方法的箱梁横截面上部结构。横截面的深度,(沿跨度线性的变量线性),底部法兰厚度和股线的计数被认为是设计变量。最佳设计的特征在于Aashto指定的几何形状,可维护性,延展性和最终限制状态。遗传算法(GA)应用于两个前面:至于施工成本8%的节约率和混凝土卷6%。通过考虑跨度/深度比,上部结构成本,跨度长度和混凝土抗压强度之间的不同参数来运行灵敏度分析。

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