Entre avanços, construções e desafios: aplicação da inteligência artificial na Engenharia Civil

Abstract

Artificial intelligence (AI) in civil engineering has revolutionized the sector, optimizing processes, reducing costs, and increasing efficiency. The application of AI covers several areas, such as predictive modeling, project automation, and construction monitoring. In planning and design, machine learning algorithms analyze large volumes of data to create more efficient and sustainable structural models. AI-based software assists in creating optimized designs, considering factors such as materials, environmental impact, and cost-benefit. In construction, automation and robotics, driven by AI, improve precision and safety. Drones and sensors monitor construction sites in real time, identifying structural flaws and preventing accidents. Additionally, AI systems can predict failures in existing infrastructures, enabling predictive maintenance and extending the lifespan of buildings. AI is also applied in project management, optimizing schedules and resource allocation. With predictive analysis, companies can avoid delays and waste, increasing productivity. In the future, it is expected that AI will continue transforming civil engineering by integrating with technologies such as BIM (Building Information Modeling) and IoT (Internet of Things), making constructions smarter, more sustainable, and safer.