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Document type:
Konferenzbeitrag 
Author(s):
Špačková, O. ; Straub, D. 
Title:
Probabilistic assessment of tunnel construction time using dynamic Bayesian network 
Abstract:
Construction time estimates are important parameters for decision-making in transport infrastructure projects. At present, the construction time is usually assessed deterministically by experts; probabilistic models are not commonly employed in practice. A main reason is that the existing models often do not provide a realistic estimate of the overall uncertainty. In this contribution, we present a Dynamic Bayesian Network (DBN) model, which aims to more realistically represent the uncertaintie...    »
 
Keywords:
Construction time, risk analysis, Dynamic Bayesian Networks, construction performance, failure rate, probabilistic model 
Dewey Decimal Classification:
620 Ingenieurwissenschaften 
Book / Congress title:
Proc. EURO:TUN 2013, 3rd International Conference on Computational Methods in Tunnelling and Subsurface Engineering, Ruhr University Bochum 
Year:
2013 
Month:
Apr 
Reviewed:
ja 
Language:
en 
TUM Institution:
FG Risikoanalyse und Zuverlässigkeit 
Format:
Text 
Ingested:
13.10.2015 
Last change:
13.10.2015