このアイテムのアクセス数: 153

このアイテムのファイル:
ファイル 記述 サイズフォーマット 
2012_487246.pdf960.08 kBAdobe PDF見る/開く
タイトル: A Mixed Prediction Model of Ground Subsidence for Civil Infrastructures on Soft Ground
著者: Kobayashi, Kiyoshi  kyouindb  KAKEN_id
Kaito, Kiyoyuki
著者名の別形: 小林, 潔司
発行日: 2012
出版者: Hindawi Publishing Corporation
誌名: Journal of Applied Mathematics
巻: 2012
論文番号: 487246
抄録: The estimation of ground subsidence processes is an important subject for the asset management of civil infrastructures on soft ground, such as airport facilities. In the planning and design stage, there exist many uncertainties in geotechnical conditions, and it is impossible to estimate the ground subsidence process by deterministic methods. In this paper, the sets of sample paths designating ground subsidence processes are generated by use of a one-dimensional consolidation model incorporating inhomogeneous ground subsidence. Given the sample paths, the mixed subsidence model is presented to describe the probabilistic structure behind the sample paths. The mixed model can be updated by the Bayesian methods based upon the newly obtained monitoring data. Concretely speaking, in order to estimate the updating models, Markov Chain Monte Calro method, which is the frontier technique in Bayesian statistics, is applied. Through a case study, this paper discussed the applicability of the proposed method and illustrated its possible application and future works.
著作権等: © 2012 Kiyoshi Kobayashi and Kiyoyuki Kaito. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
URI: http://hdl.handle.net/2433/160381
DOI(出版社版): 10.1155/2012/487246
出現コレクション:学術雑誌掲載論文

アイテムの詳細レコードを表示する

Export to RefWorks


出力フォーマット 


このリポジトリに保管されているアイテムはすべて著作権により保護されています。