岩土力学2025，Vol.46Issue(5)：1368-1378,11.DOI:10.16285/j.rsm.2024.0940
基于响应面法的生物基质改良膨胀土配比优化研究
Optimization of the ratio of expansive soil improved by biological matrix based on response surface method
摘要
Abstract
This study proposes using a xanthan gum-biochar-coconut fiber composite,termed bio-matrix,to amend the topsoil of expansive soil fill slopes,addressing issues of cracking and poor vegetation growth.The response surface methodology(RSM)was employed to analyze the cracking and strength characteristics of expansive soil amended with bio-matrix at different ratios during dry-wet cycles.The analysis revealed the effects of individual factors and their interactions on the crack ratio and shear strength of expansive soil.Underlying mechanisms were further investigated using scanning electron microscope(SEM),X-ray diffraction(XRD),and tensile tests.Results indicated that all factors significantly influenced the crack ratio and shear strength of expansive soil.The primary interactions were observed between xanthan gum and coconut fiber,with negligible interaction among other factor pairs.The high viscosity and colloidal properties of hydrated xanthan gum enhanced the interfacial bonding between soil particles and fibers,intertwining with coconut fiber to form a stable three-dimensional network,thus improving soil tensile strength.Multi-objective satisfaction function optimization identified the optimal bio-matrix ratio:0.60％xanthan gum,3.60％biochar,and 0.24％coconut fiber.Compared to unmodified expansive soil,the optimized bio-matrix reduced the crack ratio by 71.04％,increased shear strength by 93.73％,and enhanced vegetation coverage by 223.77％.These findings enhanced a theoretical foundation for the application of bio-matrix in ecological protection of expansive soil slopes.关键词
膨胀土/生物基质/响应面法/裂隙率/抗剪强度/满意度Key words
expansive soil/biological matrix/response surface method/crack rate/shear strength/satisfaction分类
土木建筑引用本文复制引用
欧阳淼,张红日,王桂尧,邓人睿,郭鸥,汪磊,高游..基于响应面法的生物基质改良膨胀土配比优化研究[J].岩土力学,2025,46(5):1368-1378,11.基金项目
国家自然科学基金重点项目(No.42330701) （No.42330701）
国家自然科学基金项目(No.42477143) （No.42477143）
广西重点研发计划项目(No.AB23075184) （No.AB23075184）
湖南省研究生科研创新项目(No.QL20220195) （No.QL20220195）
交通运输行业重点科技项目(No.2022-MS5-125).This work was supported by the Key Project of the National Natural Science Foundation of China(42330701),the National Natural Science Foundation of China(42477143),Guangxi Key Research and Development Program Project(AB23075184),the Hunan Provincial Graduate Student Research Innovation Project(QL20220195)and the Key Scientific & Technological Project of the Transportation Industry(2022-MS5-125). （No.2022-MS5-125）
