Development of 3D and 4D Bridge Models and Plans

Details

• Creators:
  Brenner, Joseph ; Mitchell, Alexa ; Maier, Francesca ; Yockey, Marcia ; Pulikanti, Shashank
• Corporate Creators:
  WSP Michigan, Inc.
• Corporate Contributors:
  Michigan. Dept. of Transportation. Research Administration ; United States. Federal Highway Administration
• Subject/TRT Terms:
  • Bridge design
  • Computer aided design
  • Innovation
  • Technological innovations
  • Technology
  • 3D modeling
  • Advanced technology
  • Bridge modeling software
  • CADD
  • Level of development
  More +
• Publication/ Report Number:
  SPR-1647
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Report, 3/1/2016 to 5/31/2018
• Corporate Publisher:
  WSP Michigan, Inc.
• Abstract:
  Since 2012, MDOT has been leading national efforts to modernize design development with 3D modeling. Early focus on roadway projects yielded streamlined plan production and digital data for construction. As MDOT pivots to 3D model-centric design, national and international movements gain traction to extend the value of 3D models to bridges. Researchers conducted a thorough review of the state of the practice and engaged with industry partners to help create a plan that will help MDOT implement 3D models for bridges. The plan includes recommendations for producing, managing and documenting the production of bridge models, and a framework to organize the information in the models, define the level of development and visual quality of model elements, manage geospatial distance distortions, and clarify desired outputs from the models. The project also tested a 3D bridge modeling software on real projects and provided training materials to advance the market-ready 3D modeling applications for bridge designers.
• Format:
  PDF
• Funding:
  Contract 2016-0175
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/36009/dot_36009_DS1.pdf
• File Type:
  [PDF - 6.98 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:eb5a16043a167794ba607fe1967ebd878cc03945ce81f8b7dcf9d42eb0218c30