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A fuzzy-logic model for benchmarking concrete roof maintenance

A fuzzy-logic model for benchmarking concrete roof maintenance Concrete structures undergo early and fast deterioration, which causes defects such as cracks, water leaks and delamination, resulting from a lack of or inefficient maintenance practices. To improve this behaviour, this paper aims to develop a maintenance strategy benchmarking model for concrete structures.Design/methodology/approachFuzzy logic toolbox on MATLAB R2018a was used to develop the proposed model and it was applied to two cases. A comprehensive literature search was done to review common concrete defects, their impact on the performance and functionality of the structure, effectiveness of maintenance strategies and previous maintenance benchmarking models. The literature findings were further validated through expert interviews which have been incorporated in the model.FindingsCase study results show that preventive maintenance (PM), predictive maintenance (PdM) and corrective maintenance (CM) strategies are required more or less in similar combinations for maintenance of concrete roof structures. The best combination for case 1 is 36.42% PM, 35.40% PdM and 28.18% CM, and for case 2 is 35.93% PM, 35.08% PdM and 28.99% CM. According to suitability, they can be ranked as PM > PdM > CM.Originality/valueThis model will contribute as a comprehensive decision-making tool for building/facility managers. The findings further carry a strong message to those who practice only CM in their buildings. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Facilities Emerald Publishing

A fuzzy-logic model for benchmarking concrete roof maintenance

Facilities , Volume 39 (7/8): 16 – Jan 29, 2021

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References (75)

Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
0263-2772
DOI
10.1108/f-03-2020-0026
Publisher site
See Article on Publisher Site

Abstract

Concrete structures undergo early and fast deterioration, which causes defects such as cracks, water leaks and delamination, resulting from a lack of or inefficient maintenance practices. To improve this behaviour, this paper aims to develop a maintenance strategy benchmarking model for concrete structures.Design/methodology/approachFuzzy logic toolbox on MATLAB R2018a was used to develop the proposed model and it was applied to two cases. A comprehensive literature search was done to review common concrete defects, their impact on the performance and functionality of the structure, effectiveness of maintenance strategies and previous maintenance benchmarking models. The literature findings were further validated through expert interviews which have been incorporated in the model.FindingsCase study results show that preventive maintenance (PM), predictive maintenance (PdM) and corrective maintenance (CM) strategies are required more or less in similar combinations for maintenance of concrete roof structures. The best combination for case 1 is 36.42% PM, 35.40% PdM and 28.18% CM, and for case 2 is 35.93% PM, 35.08% PdM and 28.99% CM. According to suitability, they can be ranked as PM > PdM > CM.Originality/valueThis model will contribute as a comprehensive decision-making tool for building/facility managers. The findings further carry a strong message to those who practice only CM in their buildings.

Journal

FacilitiesEmerald Publishing

Published: Jan 29, 2021

Keywords: Benchmarking; Maintenance strategies; Fuzzy logic; Concrete defects; Concrete structures; Roof structures

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