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  1. SSMSパブリケーション
  2. Vol.05

A Hybrid Ground Subsidence Prediction Model for Airport Pavement Management

http://hdl.handle.net/10173/1723
http://hdl.handle.net/10173/1723
998e4c10-de87-4ba8-a517-99d82b63bd8c
名前 / ファイル ライセンス アクション
SMS09-005.pdf SMS09-005.pdf (4.1 MB)
Item type 会議発表論文 / Conference Paper(1)
公開日 2018-02-06
タイトル
タイトル A Hybrid Ground Subsidence Prediction Model for Airport Pavement Management
言語
言語 eng
キーワード
主題Scheme Other
主題 hybrid ground subsidence model
キーワード
主題Scheme Other
主題 airport facilities
キーワード
主題Scheme Other
主題 MCMC
キーワード
主題Scheme Other
主題 asset management
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_5794
資源タイプ conference paper
著者 Kobayashi, Kiyoshi

× Kobayashi, Kiyoshi

Kobayashi, Kiyoshi

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Kaito, Kiyoyuki

× Kaito, Kiyoyuki

Kaito, Kiyoyuki

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抄録
内容記述タイプ Abstract
内容記述 The estimation of ground subsidence processes is an important subject for the asset management of airport facilities. In the planning and design stage, there exist many uncertainties in geotechnical conditions, 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 verified the validity of the proposed method and illustrated its possible application and future works.
書誌情報 Society for Social Management Systems Internet Journal

巻 5, 号 1, 発行日 2009-03
ISSN
収録物識別子タイプ ISSN
収録物識別子 2432-552X
著者版フラグ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
出版者
出版者 Society for Social Management Systems
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