Abstract
Service life prediction assumes a primary role as it allows a more rational use of construction elements. This constitutes a useful tool in the definition of preventive maintenance plans providing an increase in performance. The main objective of this research is the development of a statistical methodology for the service life prediction of external painted surfaces. This research is based on field data collected via a survey of the state of deterioration of in-service buildings. The degradation is defined by a number of factors that together contribute to the deterioration of painted surfaces thus ending their service life. In this study a mathematical model was defined using a multiple linear regression analysis and this enables the coating's deterioration over time to be expressed as a function of various degradation factors. 220 painted coatings were inspected in 160 buildings of varying construction types. Analytical tools were devised to monitor the performance of paint coatings on walls and estimate their service life. This study contributes to the automation of the maintenance of painted facades, allowing a more rational management of the maintenance of buildings, converted into economic and performance gains.
Highlights
Façades are the building’s most visible element and are intimately linked to the quality of the urban environment (Flores-Colen, de Brito 2010)
This study focuses on the service life prediction of painted coatings, the most popular coating solution in Portugal (INE 2001)
The appraisal involves surveying the anomalies and collecting quantitative and qualitative data on: size aspects of the façades; areas affected by each anomaly; degradation level associated with each anomaly; data on the degradation factors of each façade for subsequent analysis of their influence
Summary
Façades are the building’s most visible element and are intimately linked to the quality of the urban environment (Flores-Colen, de Brito 2010). According to a study from the Building Research Establishment (BRE), these anomalies may lead to a decrease of about 50% of a building’s functional performance, which lessens its durability (BRE 1988). Tools are necessary so that the time to take action can be predicted, thereby allowing a more rational assessment of the construction elements through the definition of maintenance plans, which leads to lower repair costs (Zhang, Gao 2012)
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