2009年5月
Rheological parameter estimation for the prediction of long-term deformations in conventional tunnelling
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- ,
- ,
- 巻
- 24
- 号
- 3
- 開始ページ
- 250
- 終了ページ
- 259
- 記述言語
- 英語
- 掲載種別
- DOI
- 10.1016/j.tust.2008.08.001
- 出版者・発行元
- PERGAMON-ELSEVIER SCIENCE LTD
The long-term deformations of mountain tunnels, which attract more and more attentions, are closely related to the time-dependent features of the surrounding rock mass. However, it is not easy to determine an appropriate theological model and its corresponding parameters for a certain engineering instance. This paper presents a theological parameter estimation technique by using error backpropagation neural network (BN) and genetic algorithm (GA). The application of the proposed technique to an engineering instance, Ureshino tunnel line I on Nagasaki expressway, is expatiated in detailed. The stochastic nature of the proposed technique is also discussed through case studies. It is proved that the proposed technique can provide the engineer with an optimal estimation of the rheological parameters, which can help the prediction of long-term deformations of mountain tunnels in the future. (C) 2008 Elsevier Ltd. All rights reserved.
- リンク情報
- ID情報
-
- DOI : 10.1016/j.tust.2008.08.001
- ISSN : 0886-7798
- eISSN : 1878-4364
- CiNii Articles ID : 120000912081
- Web of Science ID : WOS:000264716000002