Mapping of the liquefaction index, case study

Author:

BENAHCHILIF Souad1,BOUGUERBA Salah Eddine2

Affiliation:

1. RISk Assesment & Management Laboratory (RISAM) , University of Tlemcen, Algeria , Tlemcen , Algeria

2. RISk Assesment & Management Laboratory (RISAM) , University of Tlemcen, Tlemcen , 1300 , Tlemcen , Algeria

Abstract

Abstract 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.

Publisher

Walter de Gruyter GmbH

Reference11 articles.

1. [1] Bacconnet, C. (1991). Géostatistique et géotechnique, application à la reconnaissance des sols. Thése Université Blaise pascal,Clermont ferrand II.

2. [2] Benahchilif, S. (2016). Mise en place d’une approche fiabiliste pour l’estimation du potentiel de liquefaction, thèse de Doctorat, Université Abou Bakr belkaid,Tlemcen.

3. [3] Benahchilif et al. (2016). Assessing of liquefaction in Boumerde (Algeria) using reliabilityanalysis.

4. [4] Juan Camilo Gomez et al. (2019). Assessment of earthquake-induced- risk of soil liquefaction using CPT-based methods: application to the case study of Cavezzo municipality (Italy). Vol. 21, EGU2019-11247-2, 2019.

5. [5] Selim- Altun et al. (2013). Geostatistical interpolation for modelling SPT data in northern Izmir Sa¯dhana¯ Vol. 38, Part 6, December 2013, pp. 1451–1468._c Indian Academy of Sciences.

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