Geotechnical investigations of an earthquake that triggered disastrous landslides in eastern Canada about 1020 cal BP

Wang, Baolin

doi:10.1186/s40677-020-00157-9

Cited by 3 publications

(1 citation statement)

References 26 publications

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“…To our knowledge, no attempt has been made to use PFC3D for inverse analysis of the microscopic mechanisms of landslides. Although earthquakes are the most important landslide causative factor, the relationship between cyclic microseismic loading and landslides has rarely been analyzed in detail, and no specific vibration control thresholds have been identified for specific shallow landslides [ 30 , 31 ]. At the same time, the precise onset of landslide damage is often unknown.…”

Section: Introductionmentioning

confidence: 99%

Slope with Predetermined Shear Plane Stability Predictions under Cyclic Loading with Innovative Time Series Analysis by Mechanical Learning Approach

Jiang

et al. 2022

Sensors

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We propose a mechanical learning method that can be used to predict stability coefficients for slopes where slopes with predetermined shear planes are subjected to cyclic seismic loads under undrained conditions. Firstly, shear tests with cyclic loading of different parameters were simulated on designated slip zone soil specimens, in which the strain softening process leading to landslide occurrence was closely observed. At the same time, based on the limit equilibrium analysis of the Sarma method, the variation of slope stability coefficients under different cyclic loads was investigated. Finally, a Box–Jenkins’ modeling approach is used to predict the data from the time series of slope stability coefficients using a mechanical learning approach. The simulation results show that (1) reduction in coordination number can be an accurate indicator of the level of strain softening and evolutionary processes; (2) the gradual reduction of shear stress facilitates the soil strain softening process, while different cyclic loading stress amplitudes will result in rapid penetration or non-penetration of the fracture zone by means of particulate flow. Although the confining pressure of the slip zone soil can inhibit the increase of fractures, it has a limited inhibitory effect on strain softening; (3) based on field observations of the slope stability factor and stress field, two possible landslide triggering mechanisms are described. (4) Mechanical learning of time series can accurately predict the changing pattern of stability coefficients of slopes without loading. This study establishes a potential bridge between the geological investigation of landslides and the theoretical background of landslide stability coefficient prediction.

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Section: Introductionmentioning

confidence: 99%

Slope with Predetermined Shear Plane Stability Predictions under Cyclic Loading with Innovative Time Series Analysis by Mechanical Learning Approach

Jiang

et al. 2022

Sensors

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Probabilistic seismic source inversion from regional landslide evidence

Rasanen

Maurer

2021

Landslides

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Seismic microzonation of a region with complex surficial geology based on different site classification approaches

Salsabili

Saeidi

Rouleau

et al. 2021

Geoenviron Disasters

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A seismic microzonation study was conducted to refine the seismic hazard model for the city of Saguenay, Canada. The Quaternary geology underlying Saguenay shows complex glacial and post-glacial stratigraphy with a number of buried valleys filled with fluvioglacial and glaciomarine sediments. High impedance contrast between rock formations and surficial sediments is prone to seismic amplification. To evaluate their applicability, advantages and limitations in capturing the geological specificity of the study area, four site classification methods were applied: the current National Building Code of Canada (NBCC) and Eurocode 8, both mainly based on the average shear-wave velocity for the surficial sediments (VS,avg) and for the top 30 m (VS,30); a method based on the fundamental site period (T0); and a hybrid method based on the combination of VS,30, T0 and VS,avg. The study specifically aimed to evaluate the importance of the site classification parameters on the resulting microzonation maps. VS,30 is capable to present the geological and geotechnical site conditions, however, the results may be further improved by considering Vs,avg in shallow and T0 in thick layers of soil sediments as secondary parameters. The T0 method gives also satisfactory results with T0 showing a better correlation to Vs,30 than to Vs,avg. The versatile hybrid method may be challenging to apply in certain cases with its nine different site categories and parameters.

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Geotechnical investigations of an earthquake that triggered disastrous landslides in eastern Canada about 1020 cal BP

Cited by 3 publications

References 26 publications

Slope with Predetermined Shear Plane Stability Predictions under Cyclic Loading with Innovative Time Series Analysis by Mechanical Learning Approach

Slope with Predetermined Shear Plane Stability Predictions under Cyclic Loading with Innovative Time Series Analysis by Mechanical Learning Approach

Probabilistic seismic source inversion from regional landslide evidence

Seismic microzonation of a region with complex surficial geology based on different site classification approaches

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