Application of Bayesian Probabilistic Networks for liquefaction of soil

Authors

Yahya Y. Bayraktarli

Abstract

The paper considers the application of Bayesian probabilistic networks (BPN) in liquefaction analysis. BPN's facilitate risk assessment in a generic framework by using indicators to relate the generic representation to the specific condition causing liquefaction. A basic introduction to BPN is provided and the concept of indicators is applied in accordance with potential site specific information. The methodology is then applied to a site located in Adapazari, Turkey, where extensive liquefaction problems occurred during the catastrophic 1999 Kocaeli earthquake. First the indicators related to soil liquefaction including their probabilistic modelling are summarized. For the liquefaction analysis state-of-the-art procedures are applied. The example illustrates how BPN's can be used to assess the probability of liquefaction.

Published by/in

Proceedings 6th International PhD Symposium in Civil Engineering, Zurich, August 23-26, 2006