Spatial variability characteristics of the effective friction angle of Crag deposits and its effects on slope stability

Agbaje, Samzu; Xue, Zhang; Ward, D.; Dhimitri, Luisa; Patelli, Edoardo

doi:10.1016/j.compgeo.2021.104532

Cited by 6 publications

(2 citation statements)

References 35 publications

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“…In recent years, more attention has been paid to the spatial variability of soil parameters in geotechnical engineering. With the help of this random field model, relevant scholars have studied the influence of shield tunnel surface deformation [17,18], excavation surface stability [19], foundation settlement and liquefaction [20,21], slope stability [22][23][24], and other problems. e research results show that there is a great difference between random field theory and random variable theory.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Loess Collapsibility Based on Random Field Theory in Xi’an, China

Zhang

Han

et al. 2022

Mathematical Problems in Engineering

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The engineering properties of collapsible loess have significant uncertainty. Accurate prediction of collapsible deformation is crucial for the safety of engineering construction in loess areas. Taking the typical collapsible loess stratum as the research object in Xi’an, based on the random field theory, combined with the Monte Carlo strategy and modulus reduction method, the stochastic finite element analysis of loess self-weight collapsibility is carried out to study the influence of the spatial variability of compression modulus on the self-weight collapsibility of loess. The results show that the loess tends to be stratified and average along the depth direction with the increase of transverse correlation distance. The random field result of self-weight collapsibility considering the spatial variability of compression modulus is significantly greater than the deterministic result of layered average and the calculated value of loess code. Considering the low compression modulus dominance effect of compression modulus with positive skewed distribution of random field, the equivalent characteristic value of the compression modulus calculated by the layered average modeling for the collapsibility evaluation of typical loess strata in Xi'an area is proposed.

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Section: Introductionmentioning

confidence: 99%

Evaluation of Loess Collapsibility Based on Random Field Theory in Xi’an, China

Zhang

Han

et al. 2022

Mathematical Problems in Engineering

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“…He proposed a model to calculate the failure probability of a mammal bioerosion levee considering the peak flow discharge and flood duration. Agbaje et al [5] studied the influence of the effective friction angle on slope stability based on the Grag deposits in the East of England, UK. It pointed out that the total factor of safety was usually higher, leading to overestimation of the stability of a slope.…”

Section: Introductionmentioning

confidence: 99%

Risk Assessment of Dike Based on Risk Chain Model and Fuzzy Influence Diagram

Wang

Xia

Teng

et al. 2022

Water

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For the risk assessment of flood defense, a comprehensive understanding of risk factors affecting dike failure is essential. Traditional risk assessment methods are mostly based on experts’ experience and focus on just one type of failure mode of flood defensive structures. The risk resources, including the analytical factors and non-analytical factors, were summarized firstly according to the general experience of dikes. The uncertainty of the resources that affect dike safety can be quantified by membership degree. Hence, a fuzzy influence diagram based on fuzzy mathematics was proposed to assess the safety of the dikes. We evaluated the multi-failure modes at the same time by a fuzzy influence diagram. Taking a dike as an example, the expected value of the dike failure was 6.25%. Furthermore, the chance of damage to this dike was “very unlikely” according to the descriptive term of the Intergovernmental Panel on Climate Change (IPCC). The evaluation result was obtained as a probabilistic value, which enabled an intuitive perception of the safety of the dikes. Therefore, we provided some reasonable suggestions for project management and regular maintenance. Since the proposed method can account for uncertainties, it is well suited for the risk assessment of dikes with obvious uncertainties.

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Stability and reliability analysis of rock slope based on parameter conditioned random field

Chen,

Jiang

2024

Bull Eng Geol Environ

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Spatial variability characteristics of the effective friction angle of Crag deposits and its effects on slope stability

Cited by 6 publications

References 35 publications

Evaluation of Loess Collapsibility Based on Random Field Theory in Xi’an, China

Evaluation of Loess Collapsibility Based on Random Field Theory in Xi’an, China

Risk Assessment of Dike Based on Risk Chain Model and Fuzzy Influence Diagram

Stability and reliability analysis of rock slope based on parameter conditioned random field

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