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A Mixed Prediction Model of Ground Subsidence for Civil Infrastructures on Soft Ground
Joint Authors
Kobayashi, Kiyoshi
Kaito, Kiyoyuki
Source
Journal of Applied Mathematics
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-08-15
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Kobayashi, Kiyoshi& Kaito, Kiyoyuki. 2012. A Mixed Prediction Model of Ground Subsidence for Civil Infrastructures on Soft Ground. Journal of Applied Mathematics،Vol. 2012, no. 2012, pp.1-20.
https://search.emarefa.net/detail/BIM-993301
Modern Language Association (MLA)
Kobayashi, Kiyoshi& Kaito, Kiyoyuki. A Mixed Prediction Model of Ground Subsidence for Civil Infrastructures on Soft Ground. Journal of Applied Mathematics No. 2012 (2012), pp.1-20.
https://search.emarefa.net/detail/BIM-993301
American Medical Association (AMA)
Kobayashi, Kiyoshi& Kaito, Kiyoyuki. A Mixed Prediction Model of Ground Subsidence for Civil Infrastructures on Soft Ground. Journal of Applied Mathematics. 2012. Vol. 2012, no. 2012, pp.1-20.
https://search.emarefa.net/detail/BIM-993301
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-993301