岩土工程学报2026，Vol.48Issue(4)：708-718,11.DOI:10.11779/CJGE20250099
压实膨润土水化膨胀力的跨尺度理论预测模型
Cross-scale theoretical prediction model for hydration swelling pressure of compacted bentonite
摘要
Abstract
Compacted bentonite is an ideal buffer/backfill material for high-level waste repositories,and its hydration swelling pressure is critical to the structural stability of the repository.This work is devoted to a cross-scale theoretical model of the hydration swelling pressure in bentonite.Firstly,the structure of bentonite is divided into microstructure units with their equivalent physical-mechanical properties calculated;secondly,the probability distribution of each microstructure units in soil structures is solved based on the principle of minimum energy and maximum entropy;then,by analyzing the mechanical connection between the particles and the microstructure units,and the microstructure units and the structure of soil,the cross-scale connection between the aggregate particles and the structure of bentonite in terms of physical-mechanical properties is realized.At last,a theoretical prediction model for the hydration swelling pressure of soil is established.At the same time,the hydration swelling test is performed on Gaomiaozi bentonite to measure its hydration swelling pressure.The applicability and accuracy of this theoretical model are examined by comparing the measured values with predicted values.The results show that the model applicability is well,and the error between the predicted value and the experimental result is less than 16%.The theoretical model also provides a new idea for the research on the cross-scale structural properties of bentonite.It could be used for the prediction and evaluation of the hydration swelling characteristics of buffer materials,which would contribute to the design and construction of repositories.关键词
压实膨润土/膨胀力/跨尺度/理论模型/结构性研究Key words
compacted bentonite/swelling pressure/cross-scale/theoretical modeling/structural studies分类
建筑与水利引用本文复制引用
陈永贵,李泽垚,孙曌,叶为民,王琼..压实膨润土水化膨胀力的跨尺度理论预测模型[J].岩土工程学报,2026,48(4):708-718,11.基金项目
国家自然科学基金项目(42430713 （）
42125701) （）
上海市教委科研创新计划项目(2023ZKZD26)This work was supported by National Natural Science Foundation of China(Grant Nos.42430713,42125701)and Innovation Program of Shanghai Municipal Education Commission(Grant No.2023ZKZD26). （2023ZKZD26）
