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LAYOUT DESIGN METHOD OF PILES UNDER RAFT FOUNDATION USING GENETIC ALGORITHMS

机译:基于遗传算法的筏板桩基础布局设计方法

摘要

The present invention relates to a pile arrangement design method that is completed by applying a genetic algorithm to a pile arrangement design so that an optimal pile arrangement design is possible with the minimum number of piles satisfying the design criteria for basic inequality.;The present invention is a method for arranging the pile of the foundation of the lower part of the structure using a genetic algorithm, the method comprising the steps of calculating the minimum number of piles that can satisfy the bearing capacity of the foundation ground against the structure load (S11); Generating each object of the initial group represented by a combination of design variables by selectively placing the position information of each pile with respect to a predetermined number of piles on the lower foundation of the structure (S21); Searching for an optimal combination of design variables while performing hybridization and mutation processes through genetic algorithms for each individual in the initial group (S23); And calculating an inequality settled amount calculated at the time of applying the structure load to the optimal combination of design variables and evaluating whether the calculated inequality settles to meet the design criteria (S31). .;Genetic Algorithms, Piles, Batch Design, Optimization
机译:本发明涉及一种通过将遗传算法应用于桩布置设计而完成的桩布置设计方法,从而可以在满足基本不等式设计标准的最小桩数的情况下进行最优桩布置设计。是一种使用遗传算法排列结构下部基础桩的方法,该方法包括以下步骤:计算能够满足基础荷载对结构载荷的最小桩数(S11 );通过有选择地将每个桩相对于预定数量的桩的位置信息放置在结构的下部基础上,生成由设计变量的组合表示的初始组的每个对象(S21);在通过遗传算法为初始组中的每个个体执行杂交和突变过程的同时,寻找设计变量的最佳组合(S23);然后,计算将结构载荷施加到设计变量的最佳组合并评估所计算出的不等式是否满足设计标准时所计算出的不等式沉降量(S31)。 。;遗传算法,桩,批处理设计,优化

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