Effects of SPT Numbers on Liquefaction Potential Assessment of Fine Soil

Duong, Tham Hong

doi:10.1007/978-981-15-5144-4_66

Cited by 1 publication

(1 citation statement)

References 4 publications

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“…Since the 1970s, numerous Vs and N-SPT correlation studies have been conducted in Japan and the United States, among which it is necessary to mention: [69][70][71][72][73][74][75][76]. There is extensive literature on these correlations, the different fields of application [77][78][79][80][81][82][83][84] and their use for all soil types [85][86][87].…”

Section: Empirical Equations and N-sptmentioning

confidence: 99%

Geophysical Surveys for Geotechnical Model Reconstruction and Slope Stability Modelling

et al. 2023

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Performing a reliable stability analysis of a landslide slope requires a good understanding of the internal geometries and an accurate characterisation of the geotechnical parameters of the identified strata. Geotechnical models are commonly based on geomorphological data combined with direct and intrusive geotechnical investigations. However, the existence of numerous empirical correlations between seismic parameters (e.g., S-wave velocity) and geotechnical parameters in the literature has made it possible to investigate areas that are difficult to reach with direct instrumentation. These correlations are often overlooked even though they enable a reduction in investigation costs and time. By means of geophysical tests, it is in fact possible to estimate the N-SPT value and derive the friction angle from results obtained from environmental seismic noise measurements. Despite the empirical character and a certain level of uncertainty derived from the estimation of geotechnical parameters, these are particularly useful in the preliminary stages of an emergency, when straight data are not available and on all those soils where other direct in situ tests are not reliable. These correlations were successfully applied to the Theilly landslide (Western Alps, Italy), where the geotechnical model was obtained by integrating the results of a multi-parameter geophysical survey (H/V seismic noise and ground-penetrating radar) with stratigraphic and geomorphological observations, digital terrain model and field survey data. The analysis of the triggering conditions of the landslide was conducted by means of hydrological–geotechnical modelling, evaluating the behaviour of the slope under different rainfall scenarios and considering (or not) the stabilisation interventions present on the slope. The results of the filtration analyses for all events showed a top-down saturation mechanism, which led to the formation of a saturated face with a maximum thickness of 5 m. Stability analyses conducted for the same events showed the development of a shallow landslide in the first few metres of saturated soil. The modelling results are compatible with the actual evolution of the phenomenon and allow us to understand the triggering mechanism, providing models to support future interventions.

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