Innovative Geomechanical Simulation Solutions

Enhancing Safety and Efficiency in Underground Construction Projects

Innovative Geomechanical Simulation Solutions

We develop and validate geomechanical simulation systems to enhance safety and efficiency in underground construction projects through advanced data analysis and modeling techniques.

A large tunnel entrance carved into a rocky hillside is surrounded by scaffolding and construction equipment. The ground is covered in dirt and mud, indicating an active construction site. Several machines and vehicles, including a water truck, are scattered around the area. The earthy tones of the rocks contrast with the bright blue sky above.
A large tunnel entrance carved into a rocky hillside is surrounded by scaffolding and construction equipment. The ground is covered in dirt and mud, indicating an active construction site. Several machines and vehicles, including a water truck, are scattered around the area. The earthy tones of the rocks contrast with the bright blue sky above.
A construction site with a tunnel being built into a hillside. There are wooden beams and concrete structures in the foreground. Dust or smoke is emerging from the rough circular tunnel entrance, with some trees and rocky terrain in the background.
A construction site with a tunnel being built into a hillside. There are wooden beams and concrete structures in the foreground. Dust or smoke is emerging from the rough circular tunnel entrance, with some trees and rocky terrain in the background.

Model Development

Utilizing GPT-4, we analyze data to simulate geomechanical behavior and predict potential risks.

A tunnel under construction with workers present. The scene is dimly lit, revealing a long, cylindrical passageway with a large ventilation pipe running along the ceiling. Construction workers wearing helmets and safety vests are engaged in various activities. Some are inspecting the site with surveying equipment, while others appear to be managing or welding machinery.
A tunnel under construction with workers present. The scene is dimly lit, revealing a long, cylindrical passageway with a large ventilation pipe running along the ceiling. Construction workers wearing helmets and safety vests are engaged in various activities. Some are inspecting the site with surveying equipment, while others appear to be managing or welding machinery.

Data Collection

Gathering geotechnical data from underground construction sites.

A construction site featuring a large excavation with exposed soil and rocky layers. Wooden supports and barriers are used to secure the sides of the pit. In the background, temporary structures or containers are visible, along with safety barriers.
A construction site featuring a large excavation with exposed soil and rocky layers. Wooden supports and barriers are used to secure the sides of the pit. In the background, temporary structures or containers are visible, along with safety barriers.

Validation Process

Testing models on real-world underground construction datasets for accuracy.

A construction site featuring a large tunnel entrance set against a forested hillside. There is a river flowing in the foreground with rocky banks. Various construction materials, scaffolding, and equipment, including vehicles and workers in safety gear, are scattered around the site. The sky is clear and blue, and the surrounding area is densely covered with trees.
A construction site featuring a large tunnel entrance set against a forested hillside. There is a river flowing in the foreground with rocky banks. Various construction materials, scaffolding, and equipment, including vehicles and workers in safety gear, are scattered around the site. The sky is clear and blue, and the surrounding area is densely covered with trees.

ThisresearchwilladvanceourunderstandingofhowAIcanbeappliedtogeotechnical

engineeringandundergroundspaceutilization.Bydevelopingarobustgeomechanical

simulationsystem,thestudywillcontributetothesafetyandsustainabilityof

undergroundconstructionprojects,reducingrisksandcosts.Additionally,itwill

demonstratethepotentialoffine-tunedAImodelslikeGPT-4toaddressreal-world

challenges,highlightingtheirsocietalimpactinpromotinginnovativeandresilient

urbandevelopment.Thefindingswillalsoprovideinsightsintothelimitationsand

futuredirectionsofAIingeotechnicalsimulations.