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Service life prediction of exterior cladding components under standard conditions

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  • Igal M. Shohet
  • Monica Paciuk

Abstract

An empirical method was developed for the prediction of the service life of building components, based on an evaluation of their actual performance and on the identification of failure mechanisms affecting their durability. The service life of exterior components subjected to normal service conditions is predicted. Four types of exterior claddings are exemplified: cementitious mortar, synthetic rendering, ceramic mosaic, and wet-fixing stone cladding. The proposed prediction models yield high degrees of fit to the data ( R -super-2 in the range of 0.86 to 0.93 at a 0.0001 level of significance). Life cycle costs (LCC) analysis - following service-life prediction results - leads to the conclusion that maintenance and replacements costs account for 10-80% of initial capital costs. Synthetic rendering exhibited the highest LCC effectiveness, reflecting durability and low capital costs. The method can be used for planning preventive maintenance, evaluating economic implications of failures, and planning service life.

Suggested Citation

  • Igal M. Shohet & Monica Paciuk, 2004. "Service life prediction of exterior cladding components under standard conditions," Construction Management and Economics, Taylor & Francis Journals, vol. 22(10), pages 1081-1090, December.
  • Handle: RePEc:taf:conmgt:v:22:y:2004:i:10:p:1081-1090
    DOI: 10.1080/0144619042000213274
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    Cited by:

    1. Cláudia Ferreira & Ana Silva & Jorge de Brito & Ilídio S. Dias & Inês Flores-Colen, 2021. "Condition-Based Maintenance Strategies to Enhance the Durability of ETICS," Sustainability, MDPI, vol. 13(12), pages 1-18, June.
    2. Sanghyo Lee & Yonghan Ahn, 2018. "Analyzing the Long-Term Service Life of MEP Using the Probabilistic Approach in Residential Buildings," Sustainability, MDPI, vol. 10(10), pages 1-15, October.
    3. Miller, Sabbie A. & Srubar, Wil V. & Billington, Sarah L. & Lepech, Michael D., 2015. "Integrating durability-based service-life predictions with environmental impact assessments of natural fiber–reinforced composite materials," Resources, Conservation & Recycling, Elsevier, vol. 99(C), pages 72-83.

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