Conventional workflows would be time consuming, significantly impact public use of the bridge, and might not produce the level of detail required to generate accurate repair plans. To identify structural deficiencies and develop repair plans, Collins needed detailed information on the condition of masonry for the entire bridge, including stone arches, embankments, piers, and underwater foundations. “The digital model of the Stone Arch Bridge has allowed the team to improve workflow by recording real time inspection notes right onto the model, develop plan sheets from the model, and more accurately pinpoint repair areas.”īarritt Lovelace Director of Unmanned Aircraft Systems (UAS), Artificial Intelligence, and Reality Modeling, Collins Engineers, Inc. To preserve and improve the structural condition of an historical landmark, MnDOT initiated a USD 12 million rehabilitation of Minneapolis’ 140-year-old Stone Arch Bridge.Ĭollins Engineers used ContextCapture to generate a high-fidelity 3D model from 13,000 drone-captured images, improving quantity and quality of data collection.ĭigital twin applications saved 20% in field inspection time, and the digital twin solution is expected to save 10% to 15% in construction costs. Given the age and size of the structure, Collins faced challenges when developing repair plans that traditional data collection methods could not accommodate. To ensure public safety and cultural value of the bridge, MnDOT hired Collins Engineers to assess and restore the structural integrity of the bridge. In the early 1990s, the Minnesota Department of Transportation (MnDOT) converted the 2,100-foot-long masonry bridge into a pedestrian and bicycle pathway. Spanning the Mississippi River in downtown Minneapolis, Minnesota, the 140-year-old Stone Arch Bridge is a former railroad bridge crossing recognized as a National Civil Engineering Landmark.
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