<p>A Dynamic Bayesian Network (DBN) model for probabilistic assessment of tunnel construction performance is introduced. It facilitates the quantification of uncertainties in the construction process and of the risk from extraordinary events that cause severe ...

In this paper is discussed and reconciled two diametrically opposed views concerning the future of world oil production and prices. The geological view expects that physical constraints will dominate the future evolution of oil output and prices. It is supported ...

Advantage of Bayesian approach to geotechnical designing. The paper addresses the possibility of the Bayesian approach’s application to geotechnical engineering. First the principal information on the Bayesian analysis has been presented and its applications ...

In this paper, a general formulation using a Taylor series expansion is proposed for the quantification of the relative importance of the different processes that explain the variability of the reflected velocity vector after bouncing.

This paper presents a complete methodology for both probabilistic and deterministic assessment of seismic soil liquefaction triggering potential based on the cone penetration test
CPT. A comprehensive worldwide set of CPT-based liquefaction field case histories ...

This thesis presents an approach based on Bayesian decision analysis for handling uncertainties and evaluating alternative actions at contaminated sites. These actions include remediation, investigation and protection strategies for contaminated soil and groundwater ...

This paper presents new correlations for assessment of the likelihood of initiation (or “triggering”) of soil liquefaction. These new correlations eliminate several sources of bias intrinsic to previous, similar correlations, and provide greatly reduced overall ...