Interpretacja sondowań dylatometrycznych (DMT) z wykorzystaniem analizy bayesowskiej
Abstract
Interpretation of dilatometer tests (DMT) using Bayesian theory.
A b s t r a c t. Almost 250 years ago, T. Bayes outlined a statistical method which has become increasingly apparent and it allows scientists to combine new data with their existing knowledge and explained how should change beliefs in the light of new evidence. The paper addresses the applicability of Bayesian approach to the interpretation of DMT investigation carried out on the Campus SGGW at Warsaw. The first part of paper focuses on the geological and geotechnical conditions in the campus area and the theoretical foundation of Bayesian
approach. The second part of paper includes the DMT tests with statistical analysis of soil parameters obtained. Finally, the application of Bayesian theory determines the distribution of characteristic DMT indexes in two geological layers of the SGGW Campus foundation. Examples of applying the Bayesian analysis demonstrate that it is a powerful and promising statistical tool in decision-making processes related to the selection of soil parameters in geotechnical design.
A b s t r a c t. Almost 250 years ago, T. Bayes outlined a statistical method which has become increasingly apparent and it allows scientists to combine new data with their existing knowledge and explained how should change beliefs in the light of new evidence. The paper addresses the applicability of Bayesian approach to the interpretation of DMT investigation carried out on the Campus SGGW at Warsaw. The first part of paper focuses on the geological and geotechnical conditions in the campus area and the theoretical foundation of Bayesian
approach. The second part of paper includes the DMT tests with statistical analysis of soil parameters obtained. Finally, the application of Bayesian theory determines the distribution of characteristic DMT indexes in two geological layers of the SGGW Campus foundation. Examples of applying the Bayesian analysis demonstrate that it is a powerful and promising statistical tool in decision-making processes related to the selection of soil parameters in geotechnical design.