چكيده به لاتين
Concrete bridge decks are considered as one of the most critical structural components, sectional deterioration or complete failure in this element leads to impairment in the overall performance of bridges. Therefore, regular inspections are essential actions for the condition assessment of bridge decks. To tackle or minimize the limitation of visual inspection, Non-destructive testing (NDT) methods might be appropriate alternatives or complementary methods for bridge inspection. In this regard, the significance of developing and utilizing non-destructive testing technologies has been highlighted in this present research. These technologies include terrestrial laser scanning (TLS), close-range photogrammetry (CRP), ground-penetrating radar (GPR), infrared thermography (IRT), impact-echo (IE), and half-cell potential (HCP). The foremost objective of this research was to compare these technologies’ performance on concrete bridge decks based on five criteria such as defect detection capability, accuracy, cost, ease of use (simplicity), speed, and sixteen sub-criteria. To conduct that, three questionnaires were designed, and the data were analyzed using statistical methods, the Delphi technique, and the analytic Hierarchy Process (AHP)-TOPSIS. The Delphi technique was employed to allocate sub-criteria of capability and accuracy in detecting defects such as delamination, vertical cracking, rebar corrosion, and surface defects to each of the technologies. The analytic Hierarchy Process calculates the importance weight of each criterion and sub-criteria, whereas the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was used for comparing the technologies based on the performance index. Based on the findings from all subcriteria, ground-penetrating radar ranked first (performance index=0.561). impact-echo, despite its low speed, high cost, and the need for more experience in data analysis, obtained the second rank (performance index=0.518). infrared thermography came in third place (performance index=0.466), followed by half-cell potential (performance index=0.424) and then terrestrial laser scanning (performance index=0.386). The last rank was relevant to close-range photogrammetry (performance index=0.234)
