2020
DOI: 10.1016/j.enggeo.2020.105801
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Investigating the softening of weak interlayers during landslides using nanoindentation experiments and simulations

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Cited by 53 publications
(16 citation statements)
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“…Previous studies revealed that the petrophysical model of shale can be transformed into a micromechanical parameter model that consists of three dominate mineral groups: high-, medium-, and low-strength minerals. 27,39 For different mineral groups, the mechanical responses to the indentation load were different, which manifest themselves as the different clusters in the mixture distribution. According to the statistical analysis, three clusters were recognized, with mean values of 35.3, 40.2, and 74 GPa, corresponding to the mean estimations of the three mineralogical phases of the shale sample.…”
Section: Results and Analysismentioning
confidence: 99%
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“…Previous studies revealed that the petrophysical model of shale can be transformed into a micromechanical parameter model that consists of three dominate mineral groups: high-, medium-, and low-strength minerals. 27,39 For different mineral groups, the mechanical responses to the indentation load were different, which manifest themselves as the different clusters in the mixture distribution. According to the statistical analysis, three clusters were recognized, with mean values of 35.3, 40.2, and 74 GPa, corresponding to the mean estimations of the three mineralogical phases of the shale sample.…”
Section: Results and Analysismentioning
confidence: 99%
“…In our experiment, a slight increase of the elastic modulus at the beginning of the water treatment was observed, which agreed with the results of previous experiments. 27 This may be caused by capillary suction. At low saturation, water filled the small pores and narrow spaces between grains, generating high capillary suction inside the shale that acted as a confining pressure and led to the closure of pre-existing microcracks possibly increasing the strength after water vapor sorption.…”
Section: Results and Analysismentioning
confidence: 99%
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