GeoSim.AI: AI assistants for numerical simulations in geomechanics
Yared W. Bekele

TL;DR
GeoSim.AI leverages large language models to create AI assistants that translate natural language and images into technical commands for numerical simulations in geomechanics, aiming to improve efficiency and accessibility.
Contribution
This paper introduces GeoSim.AI, a novel suite of AI assistants that integrate generative AI with geotechnical simulation tools, enabling natural language interaction with complex modeling software.
Findings
Demonstrated AI assistants for slope stability analysis
Showed potential for increased productivity in geotechnical simulations
Highlighted the feasibility of natural language interfaces in engineering
Abstract
The ability to accomplish tasks via natural language instructions is one of the most efficient forms of interaction between humans and technology. This efficiency has been translated into practical applications with generative AI tools now allowing users to get things done through natural language queries. The emergence of advanced Large Language Models (LLMs) marks a pivotal shift in this direction. With ongoing advancements in the field of generative AI, integrating natural language commands into sophisticated technical fields in science and engineering is becoming increasingly feasible. This paper introduces GeoSim.AI - a suite of AI assistants for numerical simulations in geomechanics - thereby demonstrating the transformative potential of generative AI in geotechnical engineering. We investigate how AI assistants powered by LLMs can streamline the process of creating complex…
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Taxonomy
TopicsGeological Modeling and Analysis · 3D Modeling in Geospatial Applications · Model-Driven Software Engineering Techniques
