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Optimization of inspection plans for structures submitted to non-stationary stochastic degradation processes

International Conference on Applications of Statistics and Probability (12th : 2015 : Vancouver, B.C.)

The inspection plan optimization of civil engineering structures became a true economical challenge in context of limited budget in the last two decades. It is therefore mandatory to optimize the inspection, maintenance and repair plans depending on the evolution of degradation indexes in order to ensure the reliability of these structures. Based on simulation of a predictive carbonation model which are used to identify the degradation index evolution, this paper presents a new methodology which helps to design an optimal inspection plan, taking into account the spatial variability of the degradation process. The position of the measurements points derives from an adaptative design of experiments built with the degradation predictions. The optimal time between inspections is thus determined with respect to the inspection, maintenance and failure costs.

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This collection contains the proceedings of ICASP12, the 12th International Conference on Applications of Statistics and Probability in Civil Engineering held in Vancouver, Canada on July 12-15, 2015. Abstracts were peer-reviewed and authors of accepted abstracts were invited to submit full papers. Also full papers were peer reviewed. The editor for this collection is Professor Terje Haukaas, Department of Civil Engineering, UBC Vancouver.

Vancouver : University of British Columbia Library

10.14288/1.0076098

Non UBC

Unreviewed

http://creativecommons.org/licenses/by-nc-nd/2.5/ca/