No abstract

Non-destructive testing (NDT) methods are typically utilized to thoroughly inspect existing defects in the concrete bridge deck and tackle the limitations of common inspection practices (e.g., visual inspection). Nevertheless, the reliability of inspection outcomes crucially depends on choosing the most appropriate NDT technologies. In this regard, a comprehensive Performance Assessment Model (PAM) was developed. The developed model incorporated 40 parameters to precisely assess the performance of different NDT technologies from diverse perspectives (e.g., defect detection capability, ease of use, speed, and cost). The required data were collected through a survey questionnaire. The model utilized the Analytic Network Process (ANP) technique to calculate the importance weight of each parameter, whereas the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was exploited to compute the performance index (PI) of NDT technologies. The outcomes of this study clearly illustrate the disparity in the performance of different NDT technologies. Furthermore, it was shown that none of these technologies could either exhibit the best performance in all the proposed parameters or efficiently identify all types of defects. Based on the PAM results, a selection model was proposed to assist bridge authorities and consultants in choosing the most efficient NDT technologies for inspection purposes.

No abstract

Concrete bridge decks are the vital parts that provide the driving surface to the bridge users.Partial or complete failure of this part has a significant impact on the overall performance of the bridge and consequently on the subsequent highway network(s). In this regard, periodical inspections are typically conducted to ensure the integrity of bridges and to identify the required maintenance, rehabilitation, and replacement work. Nevertheless, current practices in inspection (i.e. visual inspection) are time-consuming and suffer from several limitations, such as subjectivity and uncertainty. In addition, visual inspection provides limited defect detection capabilities. Therefore, non-destructive technologies, such as impact echo, ultrasonic surface wave, half-cell potential, ground penetrating radar, infrared thermography, and image-based techniques, were incorporated in the inspection process to tackle such limitations. However, none of these technologies can identify all types of defects, which reveals the critical need for a comprehensive inspection system. Accordingly, several studies have incorporated multitechnology systems in the inspection process to allow more defect detection capabilities and to ensure successful inspection outcomes. Previous studies have also investigated the performance criteria of different non-destructive technologies, which provide beneficial information to choose the most effective techniques for inspection purposes. The present research aims at assessing the capabilities of different non-destructive technologies, providing an overview of the developed multi-technology systems and reviewing the main criteria to measure the performance of non-destructive technologies. The review provides insight into the recent developments in the inspection process, which helps in identifying the future needs in this field.