Purpose

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/approach

Fuzzy 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.

Findings

Case 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/value

This 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.

中文翻译：

---

基准混凝土屋面维修的模糊逻辑模型

目的

由于缺乏或缺乏有效的维护实践，混凝土结构会过早而快速地变质，从而导致诸如裂缝，漏水和分层等缺陷。为了改善这种性能，本文旨在建立混凝土结构维护策略基准模型。

设计/方法/方法

使用MATLAB R2018a上的模糊逻辑工具箱来开发所提出的模型，并将其应用于两种情况。进行了全面的文献搜索，以审查常见的混凝土缺陷，它们对结构的性能和功能的影响，维护策略的有效性以及以前的维护基准模型。通过专家访谈将文献发现进一步验证，该访谈已纳入模型。

发现

案例研究结果表明，或多或少需要采用预防性维护（PM），预测性维护（PdM）和纠正性维护（CM）策略来维护混凝土屋顶结构。案例1的最佳组合是36.42％PM，35.40％PdM和28.18％CM，案例2的最佳组合是35.93％PM，35.08％PdM和28.99％CM。根据适用性，可以将其排序为PM> PdM> CM。

创意/价值

该模型将为建筑/设施管理人员提供全面的决策工具。这些发现进一步向那些仅在其建筑物中实践CM的人们传递了一个强烈的信息。