Mobilisation-based characteristic value of shear strength for ultimate limit states

Tabarroki, Mohammad; Ching, Jianye; Phoon, Kok‐Kwang; Yingzhong, Chen

doi:10.1080/17499518.2020.1859121

Cited by 10 publications

(4 citation statements)

References 38 publications

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“…To reproduce the spatial correlation of the soil property, another method is developed named random field method. According to the random field theory, researchers investigate a variety of geotechnical issues such as the bearing capacity of footings (Griffiths et al, 2006;Tabarroki et al, 2022aTabarroki et al, , 2022b, the stability of the slopes (Li et al, 2015;Huang and Leung, 2021), the basal-heave failure in braced excavation (Luo et al, 2012), the face stability of tunnels (Pan and Dias, 2017;Cheng et al, 2019a) and the ground movement induced by tunnelling (Cheng et al, 2019b).…”

Section: Introductionmentioning

confidence: 99%

Reliability analysis of ground movement in tunnelling in spatially variable soil using equivalent parameters

Yang

Liu²,

Zheng³

et al. 2022

Front. Earth Sci.

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The evaluation of the ground movement induced by tunnelling is of vital importance for the tunnel construction and the safety of the adjacent facilities. As the spatial variability of soil was widely acknowledged, more and more researches take insight into the uncertainty analysis for tunnelling. However, reliability analysis considering the spatial variability of soil is still a tough task since the accurate failure probability generally needs time-consuming calculation of random finite element/difference. Instead of conducting the direct Monte-Carlo simulation, this study utilizes a simplified framework to analyze the reliability of the ground movement of tunnelling. The main concept of this framework is adopting random variable model with equivalent parameters by producing the comparable failure probability as the results of random field model. Coupling with the variance reduction technique, the reliability analysis of tunnel ground movement considering more than one spatial variable can be addressed. Two tunnel cases are studied to explain the adaptability and accuracy of this simplified framework in tunnelling. The characteristic of the spatially variable soil is thoroughly comprehended through various parametric study, based on the robustness of the simplified framework. Results show that the simplified framework precisely predicts the tunnel reliability considering spatially variability of soil in a relatively efficient manner.

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Section: Introductionmentioning

confidence: 99%

Reliability analysis of ground movement in tunnelling in spatially variable soil using equivalent parameters

Yang

Liu²,

Zheng³

et al. 2022

Front. Earth Sci.

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“…Currently, only average properties of dike material are often derived, or a global statistical uncertainty is applied in a probabilistic analysis (Cao et al, 2016;Gui et al, 2000) to assess its probable response on dike hydrology and stability. Although this approach might be applicable for slope stability problems (van der Krogt, 2022), it ignores the internal structure and heterogeneity of the dike, in which a weak zone can significantly decrease dike macro-stability (Tabarroki et al, 2021). In addition, a wedge of sandy material can increase seepage and pore pressure heads, decreasing the shear strength of the material.…”

Section: Introductionmentioning

confidence: 99%

Assessing lithological uncertainty in dikes: Simulating construction history and its implications for flood safety assessment

Woerkom

Beek

Middelkoop

et al. 2022

J Flood Risk Management

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Dikes often have a long history of reinforcement, with each reinforcement adding new material resulting in a heterogeneous dike. As data on the dike internal heterogeneity is sparse, it is generally overlooked in the stability assessment of dikes. We present an object-based and process-based model simulating dike construction history on archeological dike cross, yielding similar patterns of heterogeneity as observed in real dikes, and apply it in a dike safety assessment. Model predictions improve when being based on more accurate statistics of dike buildup, or when being conditioned to ground truth data. When incorporated in a dike stability assessment, multiple model runs can be coupled to hydrological simulations and dike slope stability calculations, resulting in a probabilistic stability assessment considering internal dike heterogeneity. While high-resolution observations are still sparse, good model accuracies can be reached by combining regional information on dike buildup with local point observations and this model provides a parsimonious basis to include information of internal dike heterogeneity in safety assessments.

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“…The method was originally proposed by Vanmarcke and Grigoriu [7] and is extensively described in [4]. SA has been applied to homogeneous RFs in various applications and is commonly employed in the context of geotechnical analyses to approximate spatially variable soil properties [8][9][10][11][12]. Such problems have the advantage that geotechnical failure modes are typically dominated by average behavior and spatial standard deviation function and a complex location-specific autocorrelation structure.…”

Section: Introductionmentioning

confidence: 99%

The spatial averaging method for non-homogeneous random fields with application to reliability analysis

Geyer

Papaioannou

Graham‐Brady

et al. 2022

Engineering Structures

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Mobilisation-based characteristic value of shear strength for ultimate limit states

Cited by 10 publications

References 38 publications

Reliability analysis of ground movement in tunnelling in spatially variable soil using equivalent parameters

Reliability analysis of ground movement in tunnelling in spatially variable soil using equivalent parameters

Assessing lithological uncertainty in dikes: Simulating construction history and its implications for flood safety assessment

The spatial averaging method for non-homogeneous random fields with application to reliability analysis

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