Digital Transformation in Geotechnical Engineering: Opportunities, Challenges, and Future Directions

The rapid evolution of the digital economy has introduced considerable opportunities and challenges within the domain of geotechnical and underground engineering. In the past few years, artificial neural networks (ANNs) have become remarkably efficient instruments for tackling the complex issues faced in geotechnical engineering. ANNs are utilized in numerous geotechnical scenarios, demonstrating encouraging results. At present, due to the intricate nature of projects and the labor-intensive characteristics of conventional methods, it is crucial to harness the capabilities of digital technologies in geotechnical engineering. The impact of digital technologies and artificial intelligence on the evolution of geotechnical engineering practices is substantial. From this standpoint, the present study aims to explore the potential opportunities, inherent challenges, and tangible benefits associated with the adoption of digital technologies within the field of geotechnical engineering.

کلیدواژه ها:

Digital Transformation ، Geotechnical Engineering ، Challenges ، Opportunities