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Revit Dynamo and AI for the decontamination of a refinery site

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Description

Challenging the deconstruction and decontamination of a former industrial site: the refinery of Dunkerque in France. From a huge data sets of 30 000 old plans and a dynamic scan of a 90Ha area, the low LOD Revit models were made manually but also automatically using IA with image recognition. The representations of the contamination and lithology is modelled with voxels and informed using interpolation scripts with Dynamo directly from georeferenced boreholes stored in excel datasheets. The aim of this BIM model is to create scenariis of depollution depending of what is located underground : pipes, concrete and pollutants.

Key Learnings

  • BIM Sustainability
  • Revit and Dynamo
  • Retro engineering & IA
  • Data managing

Speakers

  • Pierre Marechal
    After finishing his studies in architecture/construction and obtaining his Building Engineering Diploma in 2005, Pierre MARECHAL was recruited in 2006 by COLAS as a site construction manager on the Reunion Island. After 10 years working on various construction projects, continuous professional training has enabled him to acquire new skills in 3D modeling to become BIM manager and to work now as Head for City Information Modeling for BIMbyCO, the BIM Direction for the Group Colas. He received multiple prices for National French BIM awards, BIM d'Or, in 2016, 2020 and in 2018 as the gold prize winner.
  • Nicolas Vicente
Current Time 0:00
Duration 36:08
Loaded: 0.46%
Stream Type LIVE
Remaining Time 36:08
 
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Tags

Product
Revit
Dynamo
Industries
Site Development (General civil engineering)
Architecture
MEP engineering
Structural engineering
Energy and utilities owners and operators
Topics
Data Management
Computational Design
Water Simulation
Sustainable Design
Site Planning
Simulation & Analysis
Modeling
Urban Planning & Design
Construction Management
Building Information Modeling (BIM)
Virtual Design & Construction
Software Development
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