Applications of Artificial Intelligence in Bridge Engineering: Review

Abstract

The integration of artificial intelligence (AI) in bridge engineering has revolutionized the industry, transforming the way bridges are designed, constructed, and maintained. AI's potential to analyze vast amounts of data, identify patterns, and make predictions has far-reaching implications for improving bridge safety, reducing construction costs, and enhancing sustainability. This review paper explores the use, significance, and application of AI in bridge engineering, highlighting its benefits and future directions.AI is being increasingly used in bridge engineering to Analyze structural health. AI models predict traffic patterns, enabling engineers to design bridges that can accommodate increasing traffic volumes, reducing congestion, and improving safety.The significance of AI in bridge engineering lies in its ability to Improve safety. AI-powered systems can detect potential hazards, reducing the risk of accidents and fatalities.AI optimizes bridge design, construction, and maintenance, reducing costs and improving project timelines. AI helps minimize environmental impacts by optimizing material usage, reducing waste, and improving bridge durability.AI-powered systems assess bridge conditions, identifying areas that require repair or replacement. AI-powered systems monitor construction progress, identifying potential delays and enabling proactive mitigation strategies.As AI continues to evolve, its applications in bridge engineering are expected to expand, with potential areas of research in various aspects and structural parameters.