Journal of Jilin University(Engineering and Technology Edition) ›› 2023, Vol. 53 ›› Issue (7): 2089-2098.doi: 10.13229/j.cnki.jdxbgxb.20210983

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Squeezed branch pile groups optimization method based on improved genetic algorithm

Ying-xin HUI1,2,3(),Jia-wei CHEN1   

  1. 1.School of Civil and Hydraulic Engineering，Ningxia University，Yinchuan 750021，China
    2.Ningxia Communications Construction Co. ，Ltd. ，Yinchuan 750004，China
    3.Ningxia Engineering Technology Research Center for Maintenance，Yinchuan 750004，China
  • Received:2021-09-28 Online:2023-07-01 Published:2023-07-20

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Abstract:

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.

Key words: geotechnical engineering, squeezed branch pile, pile foundation optimization, genetic algorithm, variable stiffness leveling

CLC Number: 

  • TU473.1

Fig.1

Schematic diagram of chromosome coding"

Fig.2

Schematic diagram of population cross operation"

Fig.3

Schematic diagram of population mutationoperation"

Fig.4

Procedure of squeezed branch pile group optimization"

Table 1

Model parameters for finite element calculation of soils"

类别厚度/mγ/（kN·m-3）E/MPaν/kPac/kPaφ/（°）
桩身-25.03.0×1040.15--
承台1.525.03.15×1040.15--
土13.518.024.60.308.28.3
土25.018.527.10.3015.418.0
土315.019.036.00.3028.020.8
土420.019.340.00.3030.022.5

Fig.5

Schematic diagram of squeezed branch pilegroup foundation （unit： m）"

Fig.6

Overall model of squeezed branch pile groupfoundation"

Fig.7

Region division of piled raft foundation"

Table 2

Grouping situation of pile group"

组别G1G2G3G4G5G6G7G8
桩数91612842084

Fig.8

Schematic diagram of characteristic parametersof squeezed branch pile group foundation（unit： m）"

Fig.9

Schematic diagram of optimization design scheme of pile group"

Table 3

Distribution situation of bearing discs"

承力盘数G1G2G3G4G5G6G7G8
设计承力盘数44444444
优化承力盘数64200000

Fig.10

Comparison of settlement of raft before andafter optimization design"

Table 4

Comparison of optimization results of pile group foundation"

方案最大沉降值/mm最小沉降值/mm沉降差异值/mm桩顶轴力最大值/kN桩顶轴力最小值/kN桩顶轴力差异值/kN
设计方案70.157.612.52381.41056.61324.8
优化方案72.164.57.61572.31154.2418.1

Fig.11

Distribution of settlement on top of piles atcenterline"

Fig.12

Distribution of axial force on top of piles atcenterline"

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