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Heavily Inundated: Using Civil 3D Data for Floodplain Analysis in HEC-RAS

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    Description

    Intended for intermediate to advanced AutoCAD Civil 3D users, this class is designed to show land development professionals workflows for brokering data between AutoCAD Civil 3D software and Hydrologic Engineering Center’s River Analysis System (HEC-RAS) for the creation of detailed floodplain analysis. Using terrain data from both LiDAR and grading objects, this class will demonstrate how 1D and 2D hydraulic floodplain simulations can be quickly created from AutoCAD Civil 3D designs. With DEM terrain aggregation and geometric editing functionalities recently added in the newest releases of HEC-RAS version 5.0.7 from the U.S. Army Corps of Engineers, this class will focus on techniques and nuances for setting up your HEC-RAS model and getting simulated results back into AutoCAD Civil 3D for the creation of detailed work maps. Utilizing only AutoCAD Civil 3D and open-source programs, this class will demonstrate how to successfully integrate HEC-RAS simulations with AutoCAD Civil 3D.

    Key Learnings

    • Learn how to create both 1D and 2D HEC-RAS geometry models using Civil 3D terrain, pipe networks, and coverage area
    • Learn about the hydraulic flow patterns, velocities, shear stresses, and flow inundation limits on the Civil 3D surface
    • Learn how to extract data from HEC-RAS (both 1D and 2D) to create hydraulic work maps suitable for review agencies
    • Learn how to use new HEC-RAS technologies to expedite floodplain modeling, mapping, and production needs

    Tags

    Product
    Civil 3D
    AutoCAD Map 3D
    InfraWorks
    Industries
    Transportation
    Water
    Site Development (General civil engineering)
    Architecture
    MEP engineering
    Structural engineering
    Topics
    Urban Planning & Design
    Simulation & Analysis
    Project Execution
    Design
    3D Modeling
    Customization
    Geographic Information Systems (GIS)
    Purchasing
    Reality Capture
    Software Development
    Modeling