• Yeruva Ramana Reddy

The main aim of this paper is to undertake an evaluation of many applications of artificial intelligence in Deep Excavations. [Citation Needed] In the construction sector, the use of artificial intelligence technologies is very much a go-to option. Complex geotechnical issues are increasingly being addressed using artificial intelligence (AI) solutions [1]. This may be due to the fact that conventional approaches are inefficient, or it may be due to the fact that these techniques have a promising potential to express such complexity. The majority of geotechnical engineering's fields have already benefited from the use of artificial intelligence. In this study, various applications were thoroughly analyzed and debated in detail. However, the fact that no one of these approaches has been adopted as a standard suggests that there is still skepticism about their universality and validity in rock mechanics. Here, a survey of AI applications in deep excavations has been presented [1]. [2] The best journals in the domains of rock mechanics, computer applications in engineering, and engineering textbooks were studied extensively. The AI algorithms utilized in deep excavations applications were tested for their performance. The examination of the relevant literature reveals that AI techniques have been effectively used to find solutions to a variety of issues in deep excavations. Furthermore, these AI methods performed much better than the conventional empirical, mathematical, or statistical approaches.

Artificial intelligence, neural networks, bearing capacity of piles, settlement of foundation, soil liquefaction.

"State-Of-The-Art Review Of Some Artificial Intelligence Applications In Deep Excavations", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.g589-g592, June-2021, Available :http://www.jetir.org/papers/JETIR2106898.pdf

"State-Of-The-Art Review Of Some Artificial Intelligence Applications In Deep Excavations", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppg589-g592, June-2021, Available at : http://www.jetir.org/papers/JETIR2106898.pdf