Daniele Zonta

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About

Daniele Zonta is a leading researcher in structural health monitoring (SHM) and decision-making under uncertainty, with a focus on bridging the gap between sensor data and actionable engineering decisions. His work integrates probabilistic methods, utility theory, and metrology to develop monitoring-based decision support systems for infrastructure management. A key contribution is his application of Expected Utility Theory to SHM, demonstrating how monitoring data can be formally incorporated into risk-based asset management—a framework that challenges traditional experience-based approaches and provides a rigorous foundation for owner decision-making. His highly cited 2017 paper on this topic (14 citations) has influenced how researchers and practitioners quantify the value of monitoring. Zonta has also advanced the use of Procrustes analysis for the virtual trial assembly of large structural elements, a method that improves geometric quality control in construction (2019, 29 citations). His work is notable for its interdisciplinary rigor, combining structural engineering, statistics, and decision science, and has been instrumental in shaping modern SHM as a tool for rational, evidence-based infrastructure stewardship.