An Analytical Approach to Probabilistic Modeling of Liquefaction Based on Shear Wave Velocity

Abstract

Evaluation of liquefaction potential of soils is an important step in many geotechnical investigations in regions susceptible to earthquake. For this purpose, the use of site shear wave velocity (Vs) provides a promising approach. The safety factors in the deterministic analysis of liquefaction potential are often difficult to interpret because of uncertainties in the soil and earthquake parameters. To deal with the uncertainties, probabilistic approaches have been employed. In this research, the Jointly Distributed Random Variables (JDRV) method is used as an analytical method for probabilistic assessment of liquefaction potential based on measurement of site shear wave velocity. The selected stochastic parameters are stress-corrected shear-wave velocity and stress reduction factor, which are modeled using a truncated normal probability density function and the peak horizontal earthquake acceleration ratio and earthquake magnitude, which are considered to have a truncated exponential probability density function. Comparison of the results with those of Monte Carlo Simulation (MCS) indicates very good performance of the proposed method in assessment of reliability. Comparison of the results of the proposed model and a Standard Penetration Test (SPT)-based model developed using JDRV shows that shear wave velocity (Vs)based model provides a more conservative prediction of liquefaction potential than the SPT-base model.

A Vs‐Based Logistic Regression Method for Liquefaction Evaluation

“…Using these deterministic methods to treat the foundation or design buildings is likely to increase the construction cost. A probabilistic liquefaction evaluation method can potentially account for the uncertainties of soil properties, model parameters, and seismic input characteristics, which is also in line with the current development on earthquake engineering [1,2,5]. us, numerous scholars pay more attention to the research on probabilistic approaches to liquefaction analysis.…”

“…At present, numerous researchers have tried to evaluate the soil liquefaction by standard penetration test (SPT), cone penetration test (CPT), Becker hammer test (BHT), and shear wave velocity (V s ) test. Among these methods, the shear wave velocity (V s ) test has wider applicability for liquefaction evaluation than other methods [2]. e shear wave velocity test can also be conducted in gravelly soils where SPTand CPT are unreliable [3][4][5][6] since they cannot be conducted in soils containing gravels, cobbles, or boulders.…”

“…Rahmanian and Rezaie [25] presented that the severity of liquefaction occurrence in the studied area by the V s -based method was lower than that by SPT-based method through the comparison of the safety factor and liquefaction potential index. Johari et al [2] developed a soil liquefaction model based on shear wave velocity using the jointly distributed random variables (JDRV) method. ey pointed out that the probability distribution of the liquefaction safety factor obtained by the JDRV method is very close to that predicted by the Monte Carlo simulation.…”

Long-term sustainability of biogas bubbles in sand

“…Every strong earthquake results in considerable damage 5 – 9 . Liquefaction, in particular, causes great harm to people's properties and lives 10 , 11 . Liquefaction refers to the mechanical process of saturated fine sand losing its strength instantaneously and changing from solid to liquid under the action of seismic force.…”

An Intelligent Fuzzy Logic Based Traffic Controller

“…For instance, Juang et al [5] investigated the riskbased liquefaction potential evaluation using SPTs, which defines a boundary that separates liquefaction from the no-liquefaction occurrence. Johari et al [6] presented an analytical approach to probabilistic modeling of liquefaction based on shear wave velocity. Rezania et al [7]…”