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Optimum Design of Reinforced Concrete Continuous Foundation Using Differential Evolution Algorithm

机译:差分进化算法在钢筋混凝土连续基础优化设计中的应用。

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This paper aims to study optimum design of continuous foundation systems that are commonly used for mid-rise reinforced concrete buildings. The differential evolution algorithm (DE) was used for optimum design of reinforced concrete continuous foundation systems compatible with Turkish Standards 500 and 2007 Turkish Earthquake Code and providing certain constraints of these standards. In the optimization problem, the cross-sectional dimensions, spacing of transverse reinforcement, the diameters and numbers of reinforcement were defined as discrete variables and a total of 26 different decision variables were taken into consideration. Two different examples were created by changing the axial load and moment values transmitted from the structure. The material costs were investigated by choosing the T-beam and rectangular cross section for two examples. Besides, the sensitivity of the problem has been investigated with 2880 analyses for different parameters of the algorithm. The outcomes suggest that the optimum design of the continuous foundation systems can be achieved using T-beam sections. The study also shows that the differential evolution algorithm (DE), which is preferred in solving many engineering problems, can be used effectively in the optimum design of the continuous foundation systems.
机译:本文旨在研究通常用于中高层钢筋混凝土建筑的连续地基系统的优化设计。差分演化算法(DE)用于优化设计与土耳其标准500和2007土耳其地震法兼容的钢筋混凝土连续地基系统,并提供了这些标准的某些约束条件。在优化问题中,将横截面尺寸,横向钢筋的间距,直径和钢筋数量定义为离散变量,并考虑了总共26个不同的决策变量。通过改变结构传递的轴向载荷和力矩值创建了两个不同的示例。通过选择两个示例的T型梁和矩形截面来研究材料成本。此外,针对2880个算法的不同参数,对该问题的敏感性进行了研究。结果表明,使用T型钢截面可以实现连续基础系统的最佳设计。研究还表明,在解决许多工程问题时首选的差分演化算法(DE)可以有效地用于连续基础系统的优化设计中。

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