PREDICTION OF STRUCTURAL HEALTH OF CIVIL ENGINEERING INFRASTRUCTURE USING AI

Abstract

This paper explores the use of Artificial Intelligence (AI) for predicting the structural health of civil engineering infrastructure. Emphasizing the transformative impact of AI, the study discusses real-time monitoring, predictive maintenance, and risk assessment using machine learning and deep learning. A writing survey features important examinations, and the main goal is the improvement of an AI-based Underlying Wellbeing Checking system. The system employs distributed software agents and a hybrid intelligence approach, integrating Conventional AI and Computational Intelligence methods. The paper concludes by emphasizing the innovative application of AI in enhancing structural safety and reducing maintenance costs.