Creep behavior of slip zone soil of the Majiagou landslide in the Three Gorges area

Sun, Miaojun; Tang, Huiming; Wang, Mingyuan; Shan, Zhigang; Hu, Xinli

doi:10.1007/s12665-016-6002-x

Cited by 44 publications

(20 citation statements)

References 54 publications

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“…Related literature shows that, the nature of soil landslide failure can be regarded as the creep deformation process of sliding mass 43,44 . In general, according to the landslide deformation rate and cumulative displacements, the ideal landslide creep deformation-time curve can be divided into three stages 44 : slow deformation stage with small deformation rate and low slope of cumulative displacements (0 ~ T 1 ), uniform deformation stage with almost uniform deformation rate and gradually increasing cumulative displacements ( T 1 ~ T 2 ), and accelerated deformation stage with high deformation rate and rapidly increasing cumulative displacements until landslide failure occurs ( T 2 ~ T 3 ) (Fig.…”

Section: Study Area and Materialsmentioning

confidence: 99%

Forecasting of landslide displacements using a chaos theory based wavelet analysis-Volterra filter model

Sun

Yin

et al. 2019

Sci Rep

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Landslide displacement time series can directly reflects landslide deformation and stability characteristics. Hence, forecasting of the non-linear and non-stationary displacement time series is necessary and significant for early warning of landslide failure. Traditionally, conventional machine learning methods are adopted as forecasting models, these forecasting models mainly determine the input and output variables experientially and does not address the non-stationary characteristics of displacement time series. However, it is difficult for these conventional machine learning methods to obtain appropriate input-output variables, to determine appropriate model parameters and to acquire satisfied prediction performance. To deal with these drawbacks, this study proposes the wavelet analysis (WA) to decompose the displacement time series into low- and high-frequency components to address the non-stationary characteristics; then proposes thee chaos theory to obtain appropriate input-output variables of forecasting models, and finally proposes Volterra filter model to construct the forecasting model. The GPS monitoring cumulative displacement time series, recorded on the Shuping and Baijiabao landslides, distance measuring equipment monitoring displacements on the Xintan landslide in Three Gorges Reservoir area of China, are used as test data of the proposed chaotic WA-Volterra model. The chaotic WA-support vector machine (SVM) model and single chaotic Volterra model without WA method, are used as comparisons. The results show that there are chaos characteristics in the GPS monitoring displacement time series, the non-stationary characteristics of landslide displacements are captured well by the WA method, and the model input-output variables are selected suitably using chaos theory. Furthermore, the chaotic WA-Volterra model has higher prediction accuracy than the chaotic WA-SVM and single chaotic Volterra models.

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Section: Study Area and Materialsmentioning

confidence: 99%

Forecasting of landslide displacements using a chaos theory based wavelet analysis-Volterra filter model

Sun

Yin

et al. 2019

Sci Rep

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“…According to the behavior shown by these curves, two well-established creep models, the Burgers creep model and the Singh-Mitchell equation, were used to describe the creep behavior of the Bayer red mud. e Burgers creep model [27,28] is made up of the Kelvin and Maxwell models in series as shown in Figure 6. e creep equation of the Burgers creep model is…”

Section: Comparative Analysis Of Two Creep Constitutive Modelsmentioning

confidence: 99%

“…e creep equation of the Singh-Mitchell model is given as [27] Figure 6: e Burgers creep model. 4 Advances in Civil Engineering…”

Section: Comparative Analysis Of Two Creep Constitutive Modelsmentioning

confidence: 99%

Experimental and Theoretical Studies on the Creep Behavior of Bayer Red Mud

Zhao

Huang

Shu

et al. 2018

Advances in Civil Engineering

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Long-term stability and safety of the Bayer red mud (BRM) disposal field is very important for the local residents’ life, which necessitates the knowledge of its creep behavior. In order to investigate the creep behavior of BRM, a series of triaxial drained creep tests were conducted by using an improved triaxial creep apparatus. The results indicate that the creep behavior of BRM is significant with confining and deviatoric stresses being critical factors. The creep strain is in a nonlinear relationship with stress and time, and a larger deviator stress will lead to a larger creep strain. The main failure mechanism of BRM is plastic shear, accompanied by a significant compression and ductile dilatancy. Based on the test results, two well-established creep models, the Burgers creep model and Singh–Mitchell creep model, were used to comparatively analyze the creep behavior of the Bayer red mud under a certain stress level. Then, an improved Burgers creep damage constitutive model with the addition of a damage variable was proposed, whose parameters were also analyzed in detail. The comparison of the calculated values of the creep model and the experimental values shows that the proposed creep damage model can better describe the instant elastic deformation, attenuation creep, steady-state creep, and accelerated creep stages of the Bayer red mud.

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“…Compared with the direct shear test and the ring shear test, a triaxial test has the advantage of well controlling the stress condition and drainage condition, and the shear plane of soil in the triaxial test is not set artificially, which is more consistent with the actual engineering situation. Therefore, triaxial tests are often adopted to study the mechanical properties of slip zone soil [ 19 , 20 ]. However, the soil is usually remolded in the above laboratory tests, which destroy its original structure.…”

Section: Introductionmentioning

confidence: 99%

In Situ Shear Test for Revealing the Mechanical Properties of the Gravelly Slip Zone Soil

Zou

Zhang

Xiong

et al. 2020

Sensors

Self Cite

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Slip zone soil is usually composed of clay or silty clay; in some special geological environments, it contains gravels, which make the properties of the slip zone soil more complex. Unfortunately, in many indoor shear tests, gravels are removed to meet the demands of apparatus size, and the in situ mechanical property of the gravelly slip zone soil is rarely studied. In this study, the shear mechanical property of the gravelly slip zone soil of Huangtupo landslide in the Three Gorges Reservoir area of China was investigated by the in situ shear test. The test results show that the shear deformation process of the gravelly slip zone soil includes an elastic deformation stage, elastic–plastic deformation stage, and plastic deformation stage. Four functions were introduced to express the shear constitutive model of the gravelly slip zone soil, and the asymmetric sigmoid function was demonstrated to be the optimum one to describe the relationship of the shear stress and shear displacement with a correlation coefficient of 0.986. The comparison between the in situ test and indoor direct shear test indicates that gravels increase the strength of the slip zone soil. Therefore, the shear strength parameters of the gravelly slip zone soil obtained by the in situ test are more preferable for evaluating the stability of the landslide and designing the anti-slide structures.

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Creep behavior of slip zone soil of the Majiagou landslide in the Three Gorges area

Cited by 44 publications

References 54 publications

Forecasting of landslide displacements using a chaos theory based wavelet analysis-Volterra filter model

Forecasting of landslide displacements using a chaos theory based wavelet analysis-Volterra filter model

Experimental and Theoretical Studies on the Creep Behavior of Bayer Red Mud

In Situ Shear Test for Revealing the Mechanical Properties of the Gravelly Slip Zone Soil

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