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Document type:
Zeitschriftenaufsatz 
Author(s):
Špačková, O.; Šejnoha, J.; Straub, D. 
Title:
Probabilistic assessment of tunnel construction performance based on data 
Abstract:
A probabilistic model for estimating tunnel excavation time is learnt with data from past tunnel projects. The model is based on the Dynamic Bayesian Network technique. The model inputs are determined through an analysis of data from three tunnels built by means of the conventional tunneling method. The data motivate the development of a novel probability distribution to describe the excavation performance. In addition, the probability of construction failure events and the delay caused by such...    »
 
Keywords:
Construction time; tunnel construction risk; Dynamic Bayesian Networks; tunneling performance; failure rate 
Dewey Decimal Classification:
620 Ingenieurwissenschaften 
Journal title:
Journal of Tunnelling and Underground Space Technology 
Year:
2013 
Journal volume:
37 
Journal issue:
Pages contribution:
62-78 
Language:
en 
Format:
Text