|Table of Contents|

Integrated design method of optimal mix proportion of transparent similar materials for soft soil subgrade(PDF)

长安大学学报(自然科学版)[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2025年4期
Page:
29-38
Research Field:
道路工程
Publishing date:

Info

Title:
Integrated design method of optimal mix proportion of transparent similar materials for soft soil subgrade
Author(s):
YANG Jin-bo12 LI Cong-cong3 WEN Hai-jia4 LI Liang-yong3 XIE Peng3 HUANG Bin3
(1. School of Civil Engineering, Chang'an University, Xi'an 710064, Shaanxi, China; 2. Capital Construction Department, Chang'an University, Xi'an 710064, Shaanxi, China; 3. School of Civil Engineering and Architecture, Hainan University, Haikou 570228, Hainan, China; 4. School of Civil Engineering, Chongqing University, Chongqing 400045, China)
Keywords:
subgrade engineering transparent similar material optimal mix proportion linear regression analysis support vector regression integrated design method
PACS:
U416.1
DOI:
10.19721/j.cnki.1671-8879.2025.04.003
Abstract:
Based on the orthogonal test data of the configured similar material samples, a new integrated design method for the optimal mix proportion of transparent similar materials for soft soil subgrade was developed by combining the multiple linear regression and support vector regression(SVR). The unit weight, internal friction angle and cohesion were selected as the evaluation indexes of physical and mechanical properties of the material. The particle size of quartz sand and ratio of rubber to stone(the mass ratio of nano-silica to quartz sand)were selected as influencing factors. The orthogonal test scheme with two factors and three levels was designed. The evaluation indexes of physical and mechanical properties of transparent cemented soil samples were determined by the ring sampler test and consolidated quick direct shear test. Taking the physical parameters, strength characteristics and deformation characteristics of the material as the entry point, the feasibility of the transparent similar material configured to simulate the natural soft soil material was verified. The test data were randomly divided according to the ratio of 2:8, and 20% of the data were used to fit the multiple linear regression equations. The remaining 80% of the data were used for machine learning to quantify the optimal mix proportion. The SVR evaluation model of the optimal mix proportion validity test was constructed, and the integrated design method for the optimal mix proportion of transparent similar materials for soft soil was established. Based on a practical project in Guangdong Province, the application of the established method was completed, and the transparent similar material was highly consistent with the parameters of the undisturbed soil. The research results show that the unit weight, internal friction angle and cohesion of the transparent cemented soil are 12.53-16.13 kN/m3, 14.82°-27.07° and 2.3-31.0 kPa, respectively. The normalized strength evolution path has constitutive similarity with the stress-strain response of natural soft soil. The configured transparent cemented soil can effectively simulate the natural soft soil. The particle size of quartz sand and the ratio of rubber to stone have significant effects on the unit weight, internal friction angle and cohesion. The changes in the unit weight, internal friction angle and cohesion can be effectively expressed by the particle size of quartz sand and the ratio of rubber to stone. The fitting goodnesses of the established SVR evaluation model for the unit weight, internal friction angle and cohesion are 0.980 4, 0.979 6 and 0.999 7, respectively. The research results can provide theoretical supports for the design and implementation of visual model tests related to soft soil subgrade.9 tabs, 11 figs, 30 refs.

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Last Update: 2025-07-25