Probabilistic analysis of the evolution of degradation of natural stone claddings applying Markov chains
Abstract
The service life prediction models intend to extrapolate the future behaviour of building elements,
anticipating the instant at which an intervention is required. Markov chains can be used to assess the
future condition of the construction components and are applied in this study to model the service life
of stone claddings (directly adhered to the substrate), based on visual inspections of buildings in service
conditions. The degradation of stone claddings is evaluated using a discrete scale with five condition
levels. In this study the probability of transition from degradation conditions and the time spent in each
of these conditions are evaluated. This study also allows a better understanding of the influence of the
exposure conditions on the evolution of degradation of the claddings under analysis.
Keywords: Markov chains; service life prediction; stone claddings.
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References
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