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, mainte- nance 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.

Selective maintenance planning based on a Markovian approach

BASSO, NOEMI;GARAVAGLIA, ELSA;SGAMBI, LUCA
2012-01-01

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, mainte- nance 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.
2012
Proceeding of IALCCE2012
9780415621267
Markovian approach; Deterioration process; Maintenance planning
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/685505
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