DSpace university logo mark
Japanese | English 

NAOSITE : Nagasaki University's Academic Output SITE > 060 工学部・工学研究科 > 060 学術雑誌論文 >

Rheological parameter estimation for the prediction of long-term deformations in conventional tunnelling

ファイル 記述 サイズフォーマット
TUST24_250pdf295.38 kBAdobe PDF本文ファイル

タイトル: Rheological parameter estimation for the prediction of long-term deformations in conventional tunnelling
著者: Guan, Zhenchang / Jiang, Yujing / Tanabashi, Yoshihiko
発行日: 2009年 3月
出版者: Elsevier Ltd
引用: Tunnelling and Underground Space Technology, 24(3), pp.250-259; 2009
抄録: 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 rheological model and its corresponding parameters for a certain engineering instance. This paper presents a rheological 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.
キーワード: Rheology / Parameter estimation / BN / GA
URI: http://hdl.handle.net/10069/20105
ISSN: 08867798
DOI: 10.1016/j.tust.2008.08.001
権利: Copyright © 2008 Elsevier Ltd All rights reserved.
資料タイプ: Journal Article
原稿種類: author
出現コレクション:060 学術雑誌論文

引用URI : http://hdl.handle.net/10069/20105



Valid XHTML 1.0! Copyright © 2006-2015 長崎大学附属図書館 - お問い合わせ Powerd by DSpace