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常规三轴压缩条件下岩石蠕变破坏时间预测模型

张亮亮 程桦 姚直书 王晓健

岩土力学2025,Vol.46Issue(7):2011-2022,12.
岩土力学2025,Vol.46Issue(7):2011-2022,12.DOI:10.16285/j.rsm.2024.1176

常规三轴压缩条件下岩石蠕变破坏时间预测模型

Prediction model for rock creep failure time under conventional triaxial compression

张亮亮 1程桦 2姚直书 3王晓健3

作者信息

  • 1. 安徽理工大学 土木建筑学院,安徽 淮南 232001||安徽理工大学 矿山建设工程安徽省高校重点实验室,安徽 淮南 232001
  • 2. 安徽理工大学 土木建筑学院,安徽 淮南 232001||安徽大学 资源与环境工程学院,安徽 合肥 230022
  • 3. 安徽理工大学 土木建筑学院,安徽 淮南 232001
  • 折叠

摘要

Abstract

To compensate for the lack of prediction models for rock creep failure time under conventional triaxial compression conditions and their low accuracy,based on the Norton creep constitutive relationship,a new rock creep failure time prediction model under conventional triaxial compression conditions is established by replacing the creep stress of Kachanov rock creep failure time function with a constant creep rate function.A method for determining the model parameters is proposed and its influencing factors are analyzed.The conventional triaxial compression creep test of sandy mudstone was carried out,and the creep failure time test data of five different types of rock were statistically analyzed to verify the rationality and accuracy of the new model.The results show that under the conventional triaxial compression conditions,the logarithm of the constant creep rate of rocks is linearly related to the logarithm of their creep failure time.The new model can weaken the adverse effects of heterogeneity between samples on the prediction results,and its applicability is more extensive compared to the prediction model established from the perspective of creep stress.The creep test results of six different types of rock are basically consistent with the prediction results of the new model,which verifies its accuracy and rationality.

关键词

岩石蠕变/损伤率/Norton方程/蠕变速率/破坏时间

Key words

rock creep/damage rate/Norton equation/creep rate/failure time

分类

建筑与水利

引用本文复制引用

张亮亮,程桦,姚直书,王晓健..常规三轴压缩条件下岩石蠕变破坏时间预测模型[J].岩土力学,2025,46(7):2011-2022,12.

基金项目

矿山建设工程安徽省高校重点实验室开放基金(No.GXZDSYS2023104) (No.GXZDSYS2023104)

国家自然科学基金(No.52404069) (No.52404069)

安徽省高校科研资助项目(No.2023AH051203) (No.2023AH051203)

安徽理工大学高层次引进人才科研启动基金(No.2022yjrc32).This work was supported by the Open Research Fund of Anhui Key Laboratory of Mining Construction Engineering(GXZDSYS2023104),the National Natural Science Foundation of China(52404069),the Natural Science Research Project of Anhui Educational Committee(2023AH051203)and the Scientific Research Foundation for High-level Talents of Anhui University of Science and Technology(2022yjrc32). (No.2022yjrc32)

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