Selective maintenance planning based on a Markovian approach

Noemi Basso, E. Garavaglia, L. Sgambi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Existing buildings within an aggressive environment suffer deterioration of their making up materials. This deterioration, over the time, can lead the system to a loss of performance. When the loss of performance is greater than prescribed threshold values it is considered as a failure and the system passes from current service state to another one characterized by a lower level of performance. However, maintenance and/or rehabilitation can improve structural performance. Both these interventions can be defined as transition stages and modeled as Markovian processes. In this paper applying a Markovian approach associated to a Monte Carlo simulation, the maintenance planning within decision-making analysis is assessed.

Original languageEnglish
Title of host publicationLife-Cycle and Sustainability of Civil Infrastructure Systems - Proceedings of the 3rd International Symposium on Life-Cycle Civil Engineering, IALCCE 2012
Pages435-441
Number of pages7
Publication statusPublished - 2012
Externally publishedYes
Event3rd International Symposium on Life-Cycle Civil Engineering, IALCCE 2012 - Vienna
Duration: 2012 Oct 32012 Oct 6

Other

Other3rd International Symposium on Life-Cycle Civil Engineering, IALCCE 2012
CityVienna
Period12/10/312/10/6

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Safety, Risk, Reliability and Quality

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  • Cite this

    Basso, N., Garavaglia, E., & Sgambi, L. (2012). Selective maintenance planning based on a Markovian approach. In Life-Cycle and Sustainability of Civil Infrastructure Systems - Proceedings of the 3rd International Symposium on Life-Cycle Civil Engineering, IALCCE 2012 (pp. 435-441)