ABSTRACT
In engineering, quality control is related to systems development in order to ensure that products or services meet or exceed expectations and needs. Today, it is a challenge to manage civil infrastructure in an efficient manner. Thus, there is an increasing need to develop strategies to ensure asset quality with the aim of reducing the risk of unexpected costs. In order to assure the desired service quality with minimum interruptions, maintenance actions are taken when the risk of service impairment, interruption or life-cycle costs reach predefined levels. This risk depends on the establishment of performance goals for components, which when compared with performance indicators, obtained from visual inspection techniques, non-destructive tests or by monitoring systems, provide information regarding the assessed asset condition. The objective of this paper is to analyse a digital image correlation system and its ability to assess performance indicators, such as crack patterns, crack openings and vertical and horizontal deformations. The obtained values are then compared to goals so that structural performance assessment strategies can be implemented in an efficient and sustainable way.
