Road and bridge digital twins in action: four case studies
by
Meg Davis
for
Cadalyst
Recommended by
Paul Shale
Chief Commercial Officer
The article is sponsored content from Bentley, providing a few paragraphs on four applications of digital twin technology to roading projects:
- The Morandi Bridge in Genoa, Italy
- Meitan-Shiqian Expressway in Guizhou, China
- Roading corridor in Cedar Falls, Iowa
- Pan Borneo Highway in Sarawak, Malaysia
Why it’s relevant to Nextspace
This is an article without quantified ROI. However, it’s of interest to Nextspace Partners because of the range of roading applications outlined. This is a call-sign of digital twins and demonstrates that they are not a cookie-cutter one-size-fits-all technology. They bring data together into one model, but the data selected and the unique visualizations and analysis utilised vary widely according to strategic and user objectives.
In these cases:
- The Morandi Bridge in Genoa, Italy: rapid reconstruction of a collapsed bridge where simultaneous design and construction were required.
- Meitan-Shiqian Expressway in Guizhou, China: full lifecycle application. A detailed 3D drone map of the site in a remote mountainous area was credited with shortening the construction period by 89 days.
- Roading corridor in Cedar Falls, Iowa: 3D modelling to improve traffic flow and safety.
- Pan Borneo Highway in Sarawak, Malaysia: integration of a road information system, a bridge management system, and a maintenance management system designed to include the development of non-conformance reports.
More recommended reads
By
XMPro
for
YouTube
A quick recap of the stages of Industrial Revolution - from 1760
By
Mike Elgan
for
Computerworld
An article that seeks to distance metaverse hype from the value of industrial digital twins
By
Dr Michael Grieves
for
IOT Solutions World Congress 2023
The value of Digital Twins can only be realized if Digital Twins and their virtual environment contain the same data and resulting information as their corresponding Physical Twins and real-world environment. This means that the need for more extensive, faster, and richer sensing of the physical world will dramatically increase as valuable use cases proliferate. In addition, we will evolve from working in physical or virtual environments to integrating and working simultaneously in both environments. Dr. Grieves discusses his views on the opportunities and issues of this evolution.
