A destructive earthquake of magnitude Mw=6.8 hit the region of Boumerdes and Algiers (Algeria) on May 21, 2003. Evidence of soil liquefaction was observed ina site located in the vicinity of Boumerdes. The results of traditional analysis of soil liquefaction potential using simplified procedures are usually presented in terms of safetyfactor. However, these methods do not take into account inherent variability which is expressed in terms of liquefaction probability related to safety factors. An answer to this problem can be found by reliability analysis. In this study, a practical reliability based method is used for assessing the soil liquefaction potential. As an application, the Boumerdes region belongs to the Tell Atlas thrust of Algeria is investigated for liquefaction potential. The investigated are based on in situ tests in which the results of SPT are analyzed.It was found that even with a safety factor of 1.34, the soil still has a liquefaction probability about 30.85% for the given design earthquake.
The present work uses a number of empirical models from geotechnical earthquake engineering (CPT-based liquefaction models) in combination with some geostatistics tools to assess the soil liquefaction potential over an extended area at the Airport of Algiers (Algeria), by the kriging approach. The SIG software program along with variograms and the kriging method were all applied together for the purpose of modeling the variation of the liquefaction potential (PL) against liquefaction in the region under study. This approach allowed determining the missing data in that region. This geostatistical method helped to draw maps at different soil depths. The results obtained revealed that the models developed were potentially capable of accurately estimating the needed data. This study made it possible to determine a number of parametric quantities that support the empirical correlation between the liquefaction potential index and liquefaction. The results show that the higher the standard deviation, the greater the uncertainty.
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