<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</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.

Mapping of the liquefaction index, case study

Modelling in Civil Environmental Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Mapping of the liquefaction index, case study"}

The present work uses a number of empirical models from geotechnical earthquake engineering (CPT-based liquefaction models) in combination with some...

Mapping of the liquefaction index, case study

Published Online: Mar 10, 2023

Page range: 1 - 12

DOI: https://doi.org/10.2478/mmce-2022-0006

Keywords
Kriging, CPT, Site investigations, liquefaction index PL, SIG

© Souad BENAHCHILIF et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Mapping of the liquefaction index, case study

Published Online: Mar 10, 2023

Page range: 1 - 12

DOI: https://doi.org/10.2478/mmce-2022-0006

KeywordsKriging, CPT, Site investigations, liquefaction index PL, SIG

© Souad BENAHCHILIF et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Keywords
Kriging, CPT, Site investigations, liquefaction index PL, SIG