Statistical Deterioration Prediction Model for Individual Infrastructure Considering its Heterogeneity
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Bibliographic Details
| Author(s): |
Kiyoyuki Kaito
Kiyoshi Kobayashi |
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| Medium: | conference paper | ||||
| Language(s): | English | ||||
| Conference: | IABSE Symposium: Large Structures and Infrastructures for Environmentally Constrained and Urbanised Areas, Venice, Italy, 22-24 September 2010 | ||||
| Published in: | IABSE Symposium Venice 2010 | ||||
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| Page(s): | 720-721 | ||||
| Total no. of pages: | 8 | ||||
| Year: | 2010 | ||||
| DOI: | 10.2749/222137810796063481 | ||||
| Abstract: |
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. |
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| Keywords: |
asset management Relative evaluation mixed Markov hazard model bench marking
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