Statistical Deterioration Prediction Model for Individual Infrastructure Considering its Heterogeneity
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Bibliografische Angaben
Autor(en): |
Kiyoyuki Kaito
Kiyoshi Kobayashi |
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Medium: | Tagungsbeitrag | ||||
Sprache(n): | Englisch | ||||
Tagung: | IABSE Symposium: Large Structures and Infrastructures for Environmentally Constrained and Urbanised Areas, Venice, Italy, 22-24 September 2010 | ||||
Veröffentlicht in: | IABSE Symposium Venice 2010 | ||||
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Seite(n): | 720-721 | ||||
Anzahl der Seiten (im PDF): | 8 | ||||
Jahr: | 2010 | ||||
DOI: | 10.2749/222137810796063481 | ||||
Abstrakt: |
The deterioration processes of civil infrastructures are heterogeneous due to unobservable factors even under the same structural and environmental conditions. In this paper, a Markov hazard model is formulated to characterize the average hazard rates, and is extended to a mixed Markov hazard model by incorporating the heterogeneity in hazard rates. By doing so, the benchmarking model to express the average deterioration processes and the statistical methodology for comparative assessment of the hazard rates of the individual facilities is also presented. The applicability of the methodology presented in this paper is examined against the actual visual inspection data concerning the bridge members. |