Carlo Cappello
Papers
1
Total Citations
14
H-Index
1
About
Carlo Cappello’s research sits at the critical intersection of structural health monitoring (SHM) and decision science, tackling a persistent real-world gap: why infrastructure owners often distrust monitoring data. His most-cited work, “Expected Utility Theory For Monitoring-Based Decision Support System” (2017, 14 citations), provides a rigorous theoretical framework to quantify the value of SHM information, directly addressing owner scepticism by modeling how monitoring should guide asset management decisions under uncertainty. This contribution moves SHM beyond mere data collection toward actionable, economically rational choices. Cappello’s broader impact lies in bridging probabilistic risk assessment with practical engineering management, helping to justify investment in monitoring technologies. While his citation count reflects a focused, emerging body of work, his approach is notable for applying expected utility theory—a concept from economics—to civil infrastructure, offering a novel lens for decision support. For students and researchers, Cappello exemplifies how theoretical rigor can solve stubborn practical problems in infrastructure resilience.
Research Focus
Key Achievements
Top Papers
- 1Expected Utility Theory For Monitoring-Based Decision Support System14 citations · 2017