August 24, 2025Applied SciencesOpen Access

Markov Chain Modeling for Predicting the Service Life of Buildings and Structural Components

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This analysis demonstrates how markov chains predict deterioration in structures, suggesting improved lifecycle management under uncertainty.

Predicting service life reveals that deterioration of structures converges toward failure without maintenance interventions.
Markov chain models calculate transition probabilities to assess degradation pathways and ensure efficient resource allocation.
By utilizing fuzzy set theory, the model accounts for uncertainties in predicting the service life of buildings and structural components.
The proposed methodology assists building managers in optimizing maintenance schedules and refurbishment planning.

Zbiciak et al. (2025) studied this question.

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August 24, 2025Applied SciencesOpen Access

View Full Paper

Ask AI

Bookmark

Authors

This analysis demonstrates how markov chains predict deterioration in structures, suggesting improved lifecycle management under uncertainty.

Predicting service life reveals that deterioration of structures converges toward failure without maintenance interventions.
Markov chain models calculate transition probabilities to assess degradation pathways and ensure efficient resource allocation.
By utilizing fuzzy set theory, the model accounts for uncertainties in predicting the service life of buildings and structural components.
The proposed methodology assists building managers in optimizing maintenance schedules and refurbishment planning.

Zbiciak et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark