Squeezed branch pile groups optimization method based on improved genetic algorithm

被引：0
|
作者：
Hui Y.-X. [1 ,2 ,3 ]
Chen J.-W. [1 ]
机构：
[1] School of Civil and Hydraulic Engineering, Ningxia University, Yinchuan
[2] Ningxia Communications Construction Co.，Ltd., Yinchuan
[3] Ningxia Engineering Technology Research Center for Maintenance, Yinchuan
来源：
Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) | 2023年 / 53卷 / 07期
关键词：
genetic algorithm; geotechnical engineering; pile foundation optimization; squeezed branch pile; variable stiffness leveling;
D O I：
10.13229/j.cnki.jdxbgxb.20210983
中图分类号：
学科分类号：
摘要：
The disk-shaped settlement distribution of pile group may cause secondary stress，which possibly leads to overall tilting and cracking of the building. Therefore，it is necessary to optimize the design of the squeezed branch pile group. Based on this，we took an improved genetic algorithm to refine the method. The calculated top axial force of pile group was grouped according to the sizes，the number of bearing discs in each group of piles were used as the design variables. Then，a model with the minimum-number discs subject to the constraints of the bearing capacity and the maximum settlement and settlement difference was built. With the help of Python language，ABAQUS was developed to establish an automatic optimization platform to solve the above optimization model and obtain the best pile group arrangement. Result shows that the optimized pile group foundation can reduce the number of bearing discs while decreasing the differential settlement，leading to the uniform deformation of the raft slab and pile top forces ，which are beneficial to use the structure securely. © 2023 Editorial Board of Jilin University. All rights reserved.
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页码：2089 / 2098
页数：9
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