Published Paper Details:

This piece of research aims to carry out a case study on predictive and prescriptive analytics in underground space constructions. A new age of civil engineering concerns the creation and exploitation of underground space in the 21st century. Seismic performance standards for the subway's construction are highly stringent since it is one of the city's most common modes of transportation for commuters. Every year, more underground structures increase as the need for transport networks increases. The excavation process requires proper mechanisms to protect the walls adjacent to existing systems and buildings when a structure's subterranean portion spans the entire area [1]. The influence of new underground construction on nearby buildings and other structures is one of the most challenging aspects of this development. Because of their sensitivity to excavation-induced ground movements, these structures' behavior requires artificial intelligence modeling as one of the geotechnical limit states throughout the design process.