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Parametric optimization of steel floor system cost using Evolver

机译:使用Evolver对钢地板系统成本进行参数优化

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This paper examines the application of Evolver, a genetic algorithm (GA) solving program, in a three-parameter optimization of a steel truss floor system with a concrete slab floor deck. The floor system is comprised of truss girders supporting beams running in a direction perpendicular to the truss girders with a composite floor deck along the top. Using Evolver, three parameters are optimized for two truss girder topologies in order to find the least cost floor system. The weight of the structural members is correlated to the expenses of material, labor, equipment, overhead, and profit required for the construction of the floor through information given by Means Building Construction Cost Data and interviews with steel fabricators. This procedure may be modified to optimize the cost of any floor area that may use different truss girder topologies, beam sections, and connections. Parametric optimization is defined in this paper as the combination of configuration, size, and topology optimization of a truss girder, the size optimization of beams, and the optimization of the spacings of both beams and truss girders in the system.
机译:本文研究了遗传算法(GA)解决程序Evolver在带有混凝土楼板甲板的钢桁架楼板系统的三参数优化中的应用。楼板系统由桁架梁组成,这些桁架梁支撑梁在垂直于桁架梁的方向上延伸,并沿着顶部设有复合地板。使用Evolver,针对两个桁架梁拓扑优化了三个参数,以便找到成本最低的地板系统。结构构件的重量通过“均值建筑施工成本数据”提供的信息以及与钢结构制造商的访谈,与地板的材料,人工,设备,间接费用和建筑所需的利润相关联。可以修改此过程,以优化可能使用不同桁架梁拓扑,梁截面和连接的任何地板面积的成本。本文将参数优化定义为桁架梁的配置,尺寸和拓扑优化,梁的尺寸优化以及系统中梁和桁架梁的间距的优化的组合。

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