AI for structural health monitoring

Electrical impedance sensing, AI and robotic inspection for concrete structures and bridges.

Bridges and concrete buildings age, and inspections are expensive and infrequent. This line of work explores how embedded sensors, AI models and robotic inspection can provide continuous, data-driven information on the condition of the built environment.

Monitoring platform for concrete structures

  • An AI-enabled monitoring platform for concrete structures, published in Sensors (Cosoli et al., 2024).
  • A monitoring platform based on electrical impedance and AI techniques to enhance the resilience of the built environment, published in ACTA IMEKO (Mancini et al., 2024).

Predictive maintenance of bridges

A new inspection system for the predictive maintenance of bridges was presented at Ital-IA 2024 (Galdelli et al., 2024). I was the corresponding author.

Robotic inspection interface on a 3D bridge model.

References

2024

  1. Sensors
    In the Direction of an Artificial Intelligence-Enabled Monitoring Platform for Concrete Structures
    Gloria Cosoli, Maria Teresa Calcagni, Giovanni Salerno, and 6 more authors
    Sensors, 2024
    DOI
    16 Google Scholar citations
  2. ACTA IMEKO
    A monitoring platform based on electrical impedance and AI techniques to enhance the resilience of the built environment
    Adriano Mancini, Gloria Cosoli, Alessandra Mobili, and 8 more authors
    ACTA IMEKO, 2024
    7 Google Scholar citations
  3. Ital-IA
    Un nuovo sistema di ispezione per la manutenzione predittiva dei ponti [A new inspection system for predictive maintenance of bridges]
    Alessandro Galdelli, Gagan Narang, Marina Paolanti, and 5 more authors
    In Ital-IA 2024 – Convegno Nazionale CINI sull’Intelligenza Artificiale, 2024