A statistical damage constitutive model under freeze-thaw and loading for rock and its engineering application

Huang, Shibing; Liu, Quansheng; Cheng, Aiping; Liu, Yanzhang

doi:10.1016/j.coldregions.2017.10.015

Cited by 194 publications

(51 citation statements)

References 21 publications

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“…With the implementation of national strategies such as Western Development and One Belt One Road in China, a variety of infrastructure engineering projects (e.g., tunneling) are carried out in the freezing-thawing zones. e rocks in these zones are subjected to frost pressure and frostheaving force induced by the water freezing and thawing during freezing-thawing cycles [6]. is force complicates rock mechanics under unloading conditions.…”

Section: Introductionmentioning

confidence: 99%

“…But this understanding is still limited as currently most unloading rock failure studies focus on the rock failure behaviour without freezing-thawing damage [7][8][9]. e static mechanical properties and durability of rocks degraded after freezing-thawing cycles [6,[10][11][12][13][14]. e cyclic volumetric expansion and contraction accompanied by pore structure damage until the failure of limestone specimen were observed throughout freezing-thawing process [10].…”

Section: Introductionmentioning

confidence: 99%

“…ey mainly include computed tomography (CT), X-ray CT, nuclear magnetic resonance (NMR), scanning electron microscopy (SEM), and ultrasonic technology [17][18][19][20]. e complex freeze-thaw damage to the rock also attracted research interest on the development of the damage constitutive model under freeze-thaw and loading [6].…”

Section: Introductionmentioning

confidence: 99%

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Microscopic Characteristics of Fractured Sandstone after Cyclic Freezing‐Thawing and Triaxial Unloading Tests

Shen

Zhu

2019

Advances in Civil Engineering

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e understanding of tunneling rock failure characteristics under unloading conditions in the cold region is critical for the proper design of rock tunneling support and mining safety operation. Given this understanding is currently limited, this study aimed to investigate the characteristics of fractured sandstone samples in the microscale after cyclic freezing-thawing and triaxial unloading tests. e samples were first subjected to different cycles of freezing and thawing, followed by the triaxial unloading test and scanning electron microscopy imaging. e peak strength and damage dilatancy stress were measured from the stress-strain curves. e microcrack characteristics (number, length, and width) were obtained through the image analysis. e results show that the decrease in peak strength and damage dilatancy stress was more significant by the first 20 freezing-thawing cycles when the pore pressure gradient is maximum compared to the later freezing-thawing cycles. e mechanical properties also significantly deteriorated when the severe freezing-thawing treatments were performed. e fracture section mainly had the morphology of honeycomb-like microstructure, stripped microstructure, and flocculent microstructure. e cracking extent was mainly influenced by the freezing-thawing rather than the triaxial unloading test, but the azimuthal angle of microcracks was significantly altered by the triaxial unloading. To properly design rock tunneling support and safe operation of mining in the cold region, both impact of cyclic freezing-thawing and the excavation operation direction should be considered.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Microscopic Characteristics of Fractured Sandstone after Cyclic Freezing‐Thawing and Triaxial Unloading Tests

Shen

Zhu

2019

Advances in Civil Engineering

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“…Park et al [18],Yang et al [19], Gao et al [20], and Zhou et al [21] used CT scanning technology, nuclear magnetic resonance technology, scanning electron microscope and other detection methods to study the degradation mechanism of different rocks under freezing and thawing conditions, and analyzed the freeze-thaw failure mechanism of the rock. Huang et al [22], Eslami et al [23] studied the damage characteristics of rock under freezing and thawing cycles and different stress fields and obtained the evolution law of total damage of frozen-thawed rock. Moreover, a rock damage constitutive model under the coupling of freeze-thaw cycles and loads was established, which was based on the meso-damage theory and the macroscopic statistical damage theory.…”

Section: Introductionmentioning

confidence: 99%

Uniaxial Compression Fractal Damage Constitutive Model of Rock Subjected to Freezing and Thawing

Zhou¹,

Jiang²,

Luo³

et al. 2020

Period. Polytech. Civil Eng.

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Mechanical properties of the rock in the cold regions are often affected by freeze-thaw cycles and loads. It is of great theoretical significance and engineering value to establish a uniaxial compression damage constitutive model of the rock under freeze-thaw cycles that can reflect the relationship between macroscopic and mesoscopic structural damage. In this paper, macroscopic and mesoscopic methods are combined with statistical methods to quantitatively analyze the damage degree of rock under freeze-thaw cycles and loads. Combined with the fractal features of the macroscopic image of the section, a fractal damage constitutive model considering the residual strength of rock is established. In addition, the model is subsequently verified by the experiment. The experiment shows that the mechanical properties of rocks subjected to freeze-thaw cycles and loads are determined by freeze-thaw damage variables, load damage variables, and their coupling effects. As the number of freeze-thaw cycles increases, the uniaxial compressive strength and elastic modulus of rocks decrease, and peak strain increases. By using the fractal dimension of the compression fracture surface as a bridge considering the residual strength of the rock, the constitutive model can better reflect the compaction stage, elastic deformation stage and plastic deformation stage of the uniaxial compression process of the freeze-thaw rocks.

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“…Yan examined the effects of variations in mechanical ventilation speed and different cold regions on the design of the thermal insulation layer on the basis of the numerical mode l [25,26]. Li emphasized the effects of soil temperature and moisture content around the tunnel on the optimal thickness of the tunnel insulation layer [27][28][29]. e thermal insulation performance index of a thermal insulation material is mainly determined by thermal conductivity [30][31][32].…”

Section: Introductionmentioning

confidence: 99%

Thermal Conductivity Characteristics of Thermal Insulation Materials Immersed in Water for Cold‐Region Tunnels

Sun

Zhuang

et al. 2020

Advances in Materials Science and Engineering

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This study investigates the distribution of pore water on the basis of the measured mass moisture content after soaking the tunnel insulation material. This study also analyzes the influence of the distribution of pore water on the thermal conductivity of the material on the basis of this mass moisture content. Scanning images of phenolic and polyurethane insulation boards are obtained by computer tomography (CT). The gray volume moisture content (Gv) is deduced based on the CT scanning images, to determine the distribution of pore water (Gv is the ratio of the volume of the water sample (represented by the gray value) to the volume of the saturated water sample (represented by the gray value) which is the gray volume moisture content of the sample). The correlation between gray volume moisture content and mass moisture content is determined by comparing different algorithms of gray volume moisture content and volume moisture content. The relationship between mass moisture content and thermal conductivity can be determined using a self-made quasi-steady-state tester, whereas the relationship between gray volume moisture content and thermal conductivity can be derived indirectly. Related experimental research can predict the thermal conductivity of thermal insulation materials by using a new perspective and shows the influence of pore water distribution on the thermal conductivity of materials.

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A statistical damage constitutive model under freeze-thaw and loading for rock and its engineering application

Cited by 194 publications

References 21 publications

Microscopic Characteristics of Fractured Sandstone after Cyclic Freezing‐Thawing and Triaxial Unloading Tests

Microscopic Characteristics of Fractured Sandstone after Cyclic Freezing‐Thawing and Triaxial Unloading Tests

Uniaxial Compression Fractal Damage Constitutive Model of Rock Subjected to Freezing and Thawing

Thermal Conductivity Characteristics of Thermal Insulation Materials Immersed in Water for Cold‐Region Tunnels

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