2023
DOI: 10.1016/j.coldregions.2023.103803
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Mechanical properties and modified binary–medium constitutive model for red–bed soft rock subjected to freeze–thaw cycles

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Cited by 9 publications
(4 citation statements)
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“…The siliceous material is finely grained. The iron-muddy material is yellowish-brown to black-brown and reddish-brown, mainly in a granular form [18,19].…”
Section: Mineral Analysis and Identificationmentioning
confidence: 99%
“…The siliceous material is finely grained. The iron-muddy material is yellowish-brown to black-brown and reddish-brown, mainly in a granular form [18,19].…”
Section: Mineral Analysis and Identificationmentioning
confidence: 99%
“…When the applied stress on a material remains essentially constant and considering the time-hardening characteristics, the equivalent creep strain rate can be calculated using Equation (1).…”
Section: Long-term Settlement Prediction Analysismentioning
confidence: 99%
“…Red bed formations are extensively employed in various engineering projects, such as highways, railways, water resources, and hydropower applications [1,2].…”
Section: Introductionmentioning
confidence: 99%
“…This is mainly due to the strong hydrophilicity and weak permeability of the red beds, which are prone to softening and plastic deformation under the action of water; After absorbing water, the red beds are easy to expand, and after losing water, they are easy to contract; The weathering resistance of the red beds are weak, they are easy to collapse, and their compressive and shear strength are low (Marat et al 2022;Wang et al 2017;Wu et al 2018;Zhang et al 2016). The red beds have different lithology or poor binding force with other rock strata, which can easily cause differential deformation and lead to rock mass sliding along the bedding plane (He et al 2023;Liu et al 2020). Therefore, the identification of rock types, especially the rapid determination of red beds, is of great significance for major scientific and engineering issues such as risk assessment and rapid response of geological disasters in red beds distribution area.…”
Section: Introductionmentioning
confidence: 99%