4.6 Article

Nonlinear creep properties and time-to-failure prediction of sandstone under saturated and dry conditions

Journal

ENVIRONMENTAL EARTH SCIENCES
Volume 81, Issue 24, Pages -

Publisher

SPRINGER
DOI: 10.1007/s12665-022-10666-5

Keywords

Nonlinear creep; Moisture content; Driving stress ratio; Time-to-failure

Funding

  1. National Natural Science Foundation of China [12172230, U22A20166, U2013603, 51804203]
  2. Department of Science and Technology of Guangdong Province [2019ZT08G315]

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This study investigated the influence of moisture content on the creep behavior of sandstone. It was found that the creep stress had a greater impact on creep deformation and rate, while moisture content played a dominant role in creep time-to-failure. The power-law creep model was found to be the most accurate in predicting sandstone creep deformation.
The moisture content of rock significantly influences its time-dependent deformation behavior. This paper studied the creep behavior of sandstone under saturated and dry conditions under different driving stress ratio (not the same creep stress level).Their impacts on the time-to-failure (TTF) of sandstone were also investigated. The results show that under an identical driving stress ratio, the dry specimens' creep strain and steady-state creep rate are relatively higher than those of the saturated ones. Nevertheless, the water-saturated specimen has a shorter creep strain path and TTF due to the softening effect of water. It is evident that in terms of creep deformation and creep rate, the impact of creep stress is much more significant than that of moisture content; however, in terms of creep TTF, the moisture content of sandstone plays a dominant role. The rationality of the generalized Kelvin, Burgers, and power-law creep models were evaluated based on the experimental data. The power-law model was found to be capable of fitting the test data, and better predicting sandstone creep deformation than other two models. Finally, based on the assumption of a critical strain value epsilon(cri), a method for predicting creep TTF from limited laboratory data was proposed, providing a foundation for incorporating TTF prediction into continuum numerical simulations.

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