Aging building clusters all around the world, especially in high seismic regions, will require a retrofit approach to improve the resilience of the built environment.
I am interested in the idea of using AI algorithms in analyzing civil structures.
Civil engineers may employ AI models to make building projects more precise, less expensive, and less disruptive. This involves depending on off-site facilities run by autonomous robots that assemble crucial components of a construction project, which are subsequently assembled on-site by human labor.
Machine Learning, Deep Learning, Fuzzy Logics, Pattern Recognition, Decision Trees, Swarm Optimization, and Evolutionary Computations are some of the AI disciplines that may be applied in the subject of civil engineering.
In addition, similar thread, look here also: https://www.researchgate.net/post/AI-in-civil-structures-How-should-we-start
Civil engineers can use AI models for accurate, cheaper, and less disruptive construction projects. This includes relying on off-site facilities operated by independent robots that assemble essential components of a construction project, which are then pieced together by human workers on the construction site.
It can solve complex problems to the levels of experts by means of imitating experts. All in all, artificial intelligence has broad application prospects in the practice of civil engineering.
The ultimate aim for AI in construction is a more efficient, safer job site where human workers' lives are made easier and companies can assess and meet the needs of their labor force more intelligently.