Journal
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
Volume 42, Issue -, Pages 175-183Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.tust.2014.02.014
Keywords
Mountain tunnel; Geology prediction approach; Markov process; Cost variance analysis; Work breakdown structure
Funding
- National Natural Science Foundation of China [51008082]
Ask authors/readers for more resources
An innovative methodology for the probabilistic estimation of ground condition and construction cost is proposed in this article, which is an integration of the geology prediction approach based on Markov process and the cost variance analysis based on work breakdown structure. The former one provides the probabilistic description of ground classification along tunnel alignment according to the geology information revealed from boring holes. The latter one provides the probabilistic description of expected cost for each interested operation according to the survey feedbacks among practitioners. Then an engineering application to Chuanshi Tunnel is well presented to demonstrate how the ground condition and the construction cost are estimated in a quantitative and probabilistic way. It facilitates both the owners and the contractors to be aware of the risk they should carry before construction, and it is meaningful for both tendering and bidding. (C) 2014 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available