Dynamic Bayesian Network for Probabilistic Modeling of Tunnel Excavation Processes

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F13%3A00194448" target="_blank" >RIV/68407700:21110/13:00194448 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1111/j.1467-8667.2012.00759.x" target="_blank" >http://dx.doi.org/10.1111/j.1467-8667.2012.00759.x</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1111/j.1467-8667.2012.00759.x" target="_blank" >10.1111/j.1467-8667.2012.00759.x</a>

Result language
angličtina
Original language name
Dynamic Bayesian Network for Probabilistic Modeling of Tunnel Excavation Processes
Original language description
A dynamic Bayesian network (DBN) model for probabilistic assessment of tunnel construction per- formance is introduced. It facilitates the quantification of uncertainties in the construction process and of the risk from extraordinary events that cause severe delays and damages. Stochastic dependencies resulting from the in- fluence of human factors and other external factors are addressed in the model. An efficient algorithm for eval- uating the DBN model is presented, which is a modifi- cation of the so-called Frontier algorithm. The proposed model and algorithm are applied to an illustrative case study, the excavation of a road tunnel by means of the New Austrian Tunneling Method.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JN - Civil engineering
OECD FORD branch
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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