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Title:

Probabilistic risk assessment of excavation performance in tunnel projects using Bayesian networks: A case study

Document type:
Konferenzbeitrag
Contribution type:
Textbeitrag / Aufsatz
Author(s):
Špačková, O.; Straub, D.
Abstract:
A model for probabilistic assessment of excavation performance of tunnel projects is presented. The model is based on Dynamic Bayesian Networks (DBN) and enables to consider the quality of the design and construction process. It is applied on a case study, the excavation of a road tunnel by means of the New Austrian Tunnelling Method. The influence of main model parameters and assumptions (e.g. quality, distribution of unit time) is assessed through a sensitivity analysis.
Book / Congress title:
Proc. 3rd International Symposium on Geotechnical Safety and Risk, Munich
Year:
2011
Month:
Jun
Reviewed:
ja
Language:
en
Publication format:
Print
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