PSI - Issue 78

Carlo Pettorruso et al. / Procedia Structural Integrity 78 (2026) 1190–1196

1195

Finally, while the proposed model offers a structured approach to support decision-making, it remains adaptable. The weighting factors can be recalibrated based on local priorities, project scale, or network characteristics, making the framework both rigorous and scalable.

Table 3 Weighted scores.

Accuracy

Ease of use

Impact

Cost

Total score

IE

0.43 0.63 0.89 0.83 0.78 0.85 0.66 0.62 0.59 0.66 0.73 0.62

0.12 0.30 0.60 0.60 0.04 0.10 0.20 0.20 0.04 0.10 0.20

0.11 0.13 0.15 0.10 0.08 0.09 0.10 0.07 0.08 0.09 0.10 0.07

0.09 0.09 0.09 0.08 0.06 0.06 0.06 0.05 0.38 0.38 0.38

0.10 0.10 0.05 0.05 0.60 0.60 0.30 0.30 0.10 0.10 0.05 0.05

Accuracy Driven Scenario

USE UST XRR USE UST XRR USE UST XRR IE IE

Cost-Driven Scenario

Impact Driven Scenario

0.2

0.3

5. Conclusion This paper presents the applications of a decision-support framework to evaluate and rank NDT methods for assessing PT concrete bridges to a real- world bridge illustrates the model’s practicality and its ability to adapt to different priorities. Ultrasonic tomography (UST), for the voids in ducts, demonstrated the highest overall performance in scenarios prioritizing detection accuracy and traffic minimization, whereas ultrasonic echo (USE) and impact echo (IE) proved preferable in cost-driven cases. Overall, the framework is designed to accommodate a wide range of decision-making contexts, enabling infrastructure managers to tailor the evaluation according to specific project priorities and constraints. Its structure allows for straightforward implementation using expert-informed inputs and discrete scoring, without the need for complex modeling or large datasets. Finally, the approach supports a more objective and transparent selection process for special inspections of PT bridges, enhancing the effectiveness of maintenance strategies and optimizing resource allocation. Future developments may include the integration of probabilistic risk assessments and the introduction of a parametrized framework that allows the method to be scaled across entire infrastructure networks. Acknowledgements This study was supported by FABRE – “Research consortium for the evaluation and monitoring of bridges, viaducts and other structures” (www.consorziofabre.it/en). Any opinion expressed in the paper does not necessarily reflect the view of the funder.