HEC-RAS Two Dimensional Flow Modeling
Capabilities/Advantages
1. The ability to perform 1D, 2D only, or Combined 1D and 2D modeling
2. The 2D equation solver uses an Implicit Finite Volume algorithm.
3. Can solve either 2D Diffusion Wave or 2D Full Saint Venant Eqns.
4. The 1D and 2D solution algorithms are tightly coupled on a time step by time step
basis (or even iteration by iteration).
5. The software was designed to use Unstructured or Structured Computational
Meshes. The outer boundary of the computational mesh is defined with a multi-
point polygon.
6. The underlying terrain and the computational mesh are pre-processed in order to
develop detailed Hydraulic Property Tables for the Cells and the Cell Faces.
7. Mapping of the combined 1D/2D inundation area, and animations of the flooding
can be done right inside of RAS, using RAS-Mapper.
8. The 2D flow computations take advantage of Multi-processors
9. 64 Bit and 32 Bit Computational Engines.
2
2D Hydraulics
• Shallow Water Equations
 Mass Conservation (Continuity)
 Momentum Equation:
 Gravity and Friction
 Hydrostatic pressure
 Acceleration (local and convective)
 Turbulence Modeling - Eddy viscosity (optional)
 Wind Forces (optional)
 Mud and Debris flows (optional)
 Earths Rotation - Coriolis term (optional)
• Diffusion Wave Equations
 Mass Conservation (Continuity)
 Momentum Equation:
 Gravity and Friction
 Hydrostatic pressure
3

hecras presentation for engineering civil

  • 2.
    HEC-RAS Two DimensionalFlow Modeling Capabilities/Advantages 1. The ability to perform 1D, 2D only, or Combined 1D and 2D modeling 2. The 2D equation solver uses an Implicit Finite Volume algorithm. 3. Can solve either 2D Diffusion Wave or 2D Full Saint Venant Eqns. 4. The 1D and 2D solution algorithms are tightly coupled on a time step by time step basis (or even iteration by iteration). 5. The software was designed to use Unstructured or Structured Computational Meshes. The outer boundary of the computational mesh is defined with a multi- point polygon. 6. The underlying terrain and the computational mesh are pre-processed in order to develop detailed Hydraulic Property Tables for the Cells and the Cell Faces. 7. Mapping of the combined 1D/2D inundation area, and animations of the flooding can be done right inside of RAS, using RAS-Mapper. 8. The 2D flow computations take advantage of Multi-processors 9. 64 Bit and 32 Bit Computational Engines. 2
  • 3.
    2D Hydraulics • ShallowWater Equations  Mass Conservation (Continuity)  Momentum Equation:  Gravity and Friction  Hydrostatic pressure  Acceleration (local and convective)  Turbulence Modeling - Eddy viscosity (optional)  Wind Forces (optional)  Mud and Debris flows (optional)  Earths Rotation - Coriolis term (optional) • Diffusion Wave Equations  Mass Conservation (Continuity)  Momentum Equation:  Gravity and Friction  Hydrostatic pressure 3

Editor's Notes

  • #2 The approach that HEC used in developing our 2D Flow Area algorithm has many advantages in flexibility in modeling, mesh size and shape, and computational speed.
  • #3 Eddy Viscosity. Turbulence is a complex phenomenon of chaotic (turbulent) fluid motion and eddies spanning a wide range of length scales. Many of the length scales are too small to be feasibly resolved by a discrete numerical model, so turbulent flow mixing is modeled as a gradient diffusion process. In this approach, the diffusion rate is cast as the eddy viscosity coefficient vt. The Eddy viscosity coefficient can be parameterized as follows, (2-134) where D is a non-dimensional empirical constant and u* is the shear velocity, which can be computed as: (2-135) and S denotes the energy slope, which can be computed using Chézy formula from the next section, and further simplified using Manning formula, also explained later. The diffusion is assumed to be isotropic. The empirical values DL and DT are assumed to be identical. The mixing coefficient D is an empirical value that varies with the geometry and bottom/wall surface. Some values for D are provided in table 5 below: