Unlock the Future of Civil Engineering with AI Innovation & Machine Learning

The utilization of automated technologies like Artificial Intelligence and Machine Learning in civil engineering has led to new innovative ways of responding to complex challenges. This dissertation investigates the various applications of AIs and MLs that are endorsed in civil engineering, namely structural health supervision, predictive upkeep, construction surveillance, and infrastructure optimization. Utilization of acquaintance spawned by data-driven algorithms aids the civil infrastructure in taking the edge of AI and ML tools and technologies to strongly strengthen the decision-making function, augment efficiency, and guarantee the resilience and sustainability of civil infrastructure. This research paper provides a systematized overview of published studies, journals, industry reports, and real-world implementations to reckon with the pros and cons of this implementation. Moreover, this report discusses new trends, recent advancements, and what might shift in the future in the arena of AI and ML, providing insights into the future part of these technologies in forming the civil engineering space.

کلیدواژه ها:

Artificial Intelligence (AI) ، Machine Learning (ML) ، Civil Engineering ، Predictive Maintenance ، Construction ، Infrastructure