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Deterioration patterns of building cladding components for maintenance management

Author

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  • I. M. Shohet
  • M. Puterman
  • E. Gilboa

Abstract

Increasing demands are made on maintenance programmes to provide tools that will support maintenance planning. Among of the most important parameters affecting the efficiency of maintenance management are the precision and the reliability of the predicted service life (PSL) of building components. The main objective of this study was to develop a methodology for the establishment of databases listing deterioration patterns of building components based upon their actual condition. The methodology consists of four steps: (1) identification of failure patterns, (2) determination of the component performance (CP), (3) determination of the life expectancy of deterioration path (LEDP) and (4) evaluation of the predicted service life (PSL). The proposed methodology can be used for planning of maintenance activities, for evaluation of economic implications caused by intensive decay and for maintenance management.

Suggested Citation

  • I. M. Shohet & M. Puterman & E. Gilboa, 2002. "Deterioration patterns of building cladding components for maintenance management," Construction Management and Economics, Taylor & Francis Journals, vol. 20(4), pages 305-314.
    • Handle: RePEc:taf:conmgt:v:20:y:2002:i:4:p:305-314
    DOI: 10.1080/01446190210125563
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    Citations

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    Cited by:

    1. 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.
    2. Sojin Park & Nahyun Kwon & Yonghan Ahn, 2019. "Forecasting Repair Schedule for Building Components Based on Case-Based Reasoning and Fuzzy-AHP," Sustainability, MDPI, vol. 11(24), pages 1-17, December.
    3. Youngduk Cho & Sanghyo Lee & Joosung Lee & Jaejun Kim, 2021. "Analysis of the Repair Time of Finishing Works Using a Probabilistic Approach for Efficient Residential Buildings Maintenance Strategies," Sustainability, MDPI, vol. 13(22), pages 1-17, November.
    4. Nahyun Kwon & Kwonsik Song & Moonseo Park & Youjin Jang & Inseok Yoon & Yonghan Ahn, 2019. "Preliminary Service Life Estimation Model for MEP Components Using Case-Based Reasoning and Genetic Algorithm," Sustainability, MDPI, vol. 11(11), pages 1-17, May.
    5. Moonsun Park & Nahyun Kwon & Joosung Lee & Sanghyo Lee & Yonghan Ahn, 2019. "Probabilistic Maintenance Cost Analysis for Aged Multi-Family Housing," Sustainability, MDPI, vol. 11(7), pages 1-13, March.
    6. Elena Fregonara & Diego Giuseppe Ferrando, 2020. "The Stochastic Annuity Method for Supporting Maintenance Costs Planning and Durability in the Construction Sector: A Simulation on a Building Component," Sustainability, MDPI, vol. 12(7), pages 1-21, April.
    7. Igal Shohet & Monica Paciuk, 2006. "Service life prediction of exterior cladding components under failure conditions," Construction Management and Economics, Taylor & Francis Journals, vol. 24(2), pages 131-148.

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