Key takeaways: Successful implementation of digital twins in underground engineering requires continuous data integration across disciplines. While technology is crucial, the main challenges and opportunities lie within the need for multidiscipline skills and collaborative leadership. Future advancements will integrate AI-enhanced...
Beyond digital models: The digital twin paradigm shift Key takeaways: The industry is moving beyond static models to living digital twins for subsurface projects, which evolve continuously as new data emerges. A case study on Italy’s tunnel network demonstrated a...
Beyond digital models: The digital twin paradigm shift Key takeaways: Geotechnical teams spend almost 20% of their week on data wrangling instead of engineering. Ground-related problems drive the vast majority of tunnel cost overruns and delays. Static geological models are...
When we think of a foundation, we tend to picture what’s visible: the concrete slab under a bridge, the finished pavement of a highway, or the portal of a tunnel cutting into a hillside. These are the physical starting points...
Digital tools are reshaping how teams plan, design, and deliver infrastructure, bringing speed, accuracy, and collaboration to the forefront. Here is a quick summary of what’s driving this shift: Traditional rail design methods limit efficiency and digital integration. Bentley’s railway...