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Titel:

Probabilistic assessment of tunnel construction time using dynamic Bayesian network

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Špačková, O. ; Straub, D.
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...     »
Stichworte:
Construction time, risk analysis, Dynamic Bayesian Networks, construction performance, failure rate, probabilistic model
Dewey-Dezimalklassifikation:
620 Ingenieurwissenschaften
Kongress- / Buchtitel:
Proc. EURO:TUN 2013, 3rd International Conference on Computational Methods in Tunnelling and Subsurface Engineering, Ruhr University Bochum
Jahr:
2013
Monat:
Apr
Reviewed:
ja
Sprache:
en
TUM Einrichtung:
FG Risikoanalyse und Zuverlässigkeit
Format:
Text
Eingabe:
13.10.2015
Letzte Änderung:
13.10.2015
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