Study on the creep behaviours and the improved Burgers model of a loess landslide considering matric suction

Chang, Zhilu; Gao, Huanxiang; Huang, Faming; Chen, Jiawu; Huang, Jingsong; Guo, Zhengfu

doi:10.1007/s11069-020-04046-0

Cited by 31 publications

(9 citation statements)

References 37 publications

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“…The collapse is largely affected by the distance to the river and the stream. Due to the erosion of the river, the stability of the slope rock and soil mass deteriorates with the increase in soil moisture content [85,86]. According to statistical calculation, the area with a distance of less than 300 m to the river system has the highest concentration of collapses (35%).…”

Section: Collapse-related Environmental Factor and Connection Resultsmentioning

confidence: 99%

Uncertainties Analysis of Collapse Susceptibility Prediction Based on Remote Sensing and GIS: Influences of Different Data-Based Models and Connections between Collapses and Environmental Factors

Fan

Huang

et al. 2020

Remote Sensing

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To study the uncertainties of a collapse susceptibility prediction (CSP) under the coupled conditions of different data-based models and different connection methods between collapses and environmental factors, An’yuan County in China with 108 collapses is used as the study case, and 11 environmental factors are acquired by data analysis of Landsat TM 8 and high-resolution aerial images, using a hydrological and topographical spatial analysis of Digital Elevation Modeling in ArcGIS 10.2 software. Accordingly, 20 coupled conditions are proposed for CSP with five different connection methods (Probability Statistics (PSs), Frequency Ratio (FR), Information Value (IV), Index of Entropy (IOE) and Weight of Evidence (WOE)) and four data-based models (Analytic Hierarchy Process (AHP), Multiple Linear Regression (MLR), C5.0 Decision Tree (C5.0 DT) and Random Forest (RF)). Finally, the CSP uncertainties are assessed using the area under receiver operation curve (AUC), mean value, standard deviation and significance test, respectively. Results show that: (1) the WOE-based models have the highest AUC accuracy, lowest mean values and average rank, and a relatively large standard deviation; the mean values and average rank of all the FR-, IV- and IOE-based models are relatively large with low standard deviations; meanwhile, the AUC accuracies of FR-, IV- and IOE-based models are consistent but higher than those of the PS-based model. Hence, the WOE exhibits a greater spatial correlation performance than the other four methods. (2) Among all the data-based models, the RF model has the highest AUC accuracy, lowest mean value and mean rank, and a relatively large standard deviation. The CSP performance of the RF model is followed by the C5.0 DT, MLR and AHP models, respectively. (3) Under the coupled conditions, the WOE-RF model has the highest AUC accuracy, a relatively low mean value and average rank, and a high standard deviation. The PS-AHP model is opposite to the WOE-RF model. (4) In addition, the coupled models show slightly better CSP performances than those of the single data-based models not considering connect methods. The CSP performance of the other models falls somewhere in between. It is concluded that the WOE-RF is the most appropriate coupled condition for CSP than the other models.

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Section: Collapse-related Environmental Factor and Connection Resultsmentioning

confidence: 99%

Uncertainties Analysis of Collapse Susceptibility Prediction Based on Remote Sensing and GIS: Influences of Different Data-Based Models and Connections between Collapses and Environmental Factors

Fan

Huang

et al. 2020

Remote Sensing

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“…The model can describe the accelerated creep stage of gypsum under the acid solution. [84,85]. Its mechanic model and dynamics are shown in Figure 14.…”

Section: The Creep Constitutive Model Of Gypsum Under Acidmentioning

confidence: 99%

Features and Constitutive Model of Gypsum’s Uniaxial Creep Damage considering Acidization

et al. 2020

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Acidic fluids cause rock erosion and further endanger the safety of rock engineering, especially the corrosion of pillars by acidic or weakly acidic groundwater. In this paper, the rock samples in the gypsum mining area were taken as the research object. Uniaxial compression creep tests were carried out under neutral water, pH=6 and pH=5 hydrochloric acid solutions, respectively. Meanwhile, the specimens before and after saturation were observed by an electron microscope scanner. The results show that (1) the gypsum specimens with pH=5 hydrochloric acid were damaged at the first stress level, while that with pH=6 and pH=7 were destroyed at the second stress level. The failure modes of the three groups were basically the same, with cleavage and end damage of different degrees. The difference is that the failure time of the former is earlier than that of the latter, which indicates that the stronger acidity causes greater corrosion on the creep of the samples. (2) From the perspective of microstructure, the samples saturated in the neutral aqueous solution and dry state are compact and complete in structure, and the whole is relatively homogeneous. However, after saturating in the acid solution, the samples significantly increased dense pores with large size and loose structure. Due to the rapid increase, the surfaces of the samples are almost like “holes”. (3) A new nonlinear creep constitutive model was established by connecting Burgers model with nonlinear viscoplastic body (NVPB) model in series, which can well describe the creep characteristics of gypsum rocks under acid corrosion.

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“…Recently, based on the development of unsaturated soil theory and test methods, there have been many valuable achievements in the study of compression behavior of loesses. Chang et al (2020) (Chang et al, 2020) conducted consolidation and drainage triaxial shearing tests on undisturbed Q 3 loess and undisturbed Q 2 loess in Yan'an New Area. The results explored that the matrix suction controlled the strength and initial Young's modulus of unsaturated loess.…”

Section: Introductionmentioning

confidence: 99%

The Compression Behavior of Undisturbed and Compacted Loess Under the Controlling of Total Suction and Injected Solutions

Zhang

Lan

et al. 2022

Front. Earth Sci.

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Thousands of square kilometers of habitable land have been created on the Loess Plateau in China. In arid and semi-arid area of Northwest China, the mechanical behavior of structural loess is sensitive to water intrusion and human engineering activities. Meanwhile, the higher water salinity in loess and seasonal variation of ambient humidity are common in this area. Due to different physical and mechanical properties of natural and compacted loess, the impacts of ambient humidity and saline water migration on their deformation are still unclear. This paper developed an oedometer test to investigate the compression behavior of natural and compacted loess under environmental humidity (represented by total suction Ψ) and injection water salinity (represented by osmotic suction Ψπ) changing. The results showed that the void ratio variation Δe of compacted loess (the dry density is 1.8 g/m3) under the impact of total suctions (from 14.01 to 146.23 MPa) and salinities of injected solution (0.17 mol/L NaCl, 0.29 mol/L Na2SO4 and distilled water) were under 0.01. The variation of void ratio for undisturbed loess increased about 8 times with 10 times decreasing of total suction, which was corresponding to the increase of relative humidity (RH). In the stage of solution injection, the deformation of undisturbed loess increased with the Ψ-Ψπ increasing, and the differences between different samples reached to nearly 20 times. The mechanism was that the salt inside undisturbed loess would deliquescence when the RH was higher than DRH (Deliquescence Relative Humidity), and the natural structure collapsed. The compression index Cc of samples generally decreased with Ψ-Ψπ, and the compressibility of undisturbed loess was higher. The swelling indices Cs of samples slightly decreased with Ψ-Ψπ, but the variation was not significant. The strain-stress relationships of loess can be well described by Duncan-Chang constitutive model. Interestingly, the difference of initial deformation modulus ΔEs of two loesses, which represented the structural compression under the coupling of total suction and osmotic suction, linearly related to the Ψ-Ψπ. The Δεmax between the structural loess and compacted loess exponential increased with Ψ-Ψπ. In the engineering practice, the humidity and saline water intrusion should be considered in the long-term behavior of loess in shallow layer.

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Study on the creep behaviours and the improved Burgers model of a loess landslide considering matric suction

Cited by 31 publications

References 37 publications

Uncertainties Analysis of Collapse Susceptibility Prediction Based on Remote Sensing and GIS: Influences of Different Data-Based Models and Connections between Collapses and Environmental Factors

Uncertainties Analysis of Collapse Susceptibility Prediction Based on Remote Sensing and GIS: Influences of Different Data-Based Models and Connections between Collapses and Environmental Factors

Features and Constitutive Model of Gypsum’s Uniaxial Creep Damage considering Acidization

The Compression Behavior of Undisturbed and Compacted Loess Under the Controlling of Total Suction and Injected Solutions

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