Artificial Intelligence (AI) in Civil Engineering

Dear Colleagues,

The integration of Artificial Intelligence (AI) is redefining civil engineering paradigms, shifting the focus from purely deterministic approaches toward predictive, data-driven models. This Special Issue explores the crucial role of AI in optimizing structural safety and transportation network management, merging the principles of computational mechanics with advanced machine learning techniques.

A cornerstone of this evolution is the deployment of innovative materials: the adoption of self-sensing concrete, composite materials, and "smart" materials allows structures to generate intrinsic signals in response to degradative states. These signals are captured by Structural Health Monitoring (SHM) systems utilizing specific sensors, including accelerometers for dynamic analysis, strain gauges (deformometers) for local strain control, and inclinometers for monitoring global settlements.

The resulting large-scale datasets are processed via specialized monitoring software that employs AI algorithms to identify early-stage anomalies invisible to traditional methods. Within the realms of structural and transport engineering, this synergy enables real-time resilience assessment of critical infrastructures like bridges and viaducts, transforming maintenance from reactive to proactive.

Given the significance of these advancements, researchers are cordially invited to submit original research articles to this Special Issue. We seek contributions that highlight the latest innovations, methodologies, and practical applications shaping the future of infrastructure longevity and safety.

Prof. Dr. Raffaele Zinno
Dr. Giuseppe Guido
Guest Editors

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