Monday, May 7, 2012
Aquaveo SMS (Surfacewater Modeling System) v10.0.9 NULL
The Surface Water Modeling System (SMS) is a comprehensive environment for one- and two-dimensional models dealing with surface water applications. SMS models include support for hydrodynamic, advection/diffusion, sediment transport, waves, and particle tracking.
SMS can import data from a variety of files including text, CAD, and GIS files. SMS contains many visualizations options including contours (filled or linear), flow/velocity vectors, creation of animations, and exporting to Google Earth or GIS.
New enhancements and developments continue in cooperation with the U.S. Army Corps of Engineers Waterways Experiment Station (USACE-WES), and the US Federal Highway Administration (FHWA).
Automated Mesh/Grid Generation
SMS can be used to construct 2D finite element meshes and 2D finite difference grids of rivers, estuaries, bays, or wetland areas. The tools include a sophisticated set of creation and editing tools to handle complex modeling situations with relative ease. Several methods of finite element mesh creation are available, allowing you to create any combination of rectangular and triangular elements needed to represent your model domain. Cartesian grid creation tools are available to allow representation of a model domain for finite difference models.
There are two main methods for building models in SMS, the direct approach and the conceptual modeling approach. With the direct approach, the first step is to create a mesh or grid. The model parameters, source/sink data, and boundary conditions are assigned directly to the nodestrings, nodes, and elements of the mesh. This approach is only suited for very simple models.
The most efficient approach for building realistic, complex models is the conceptual model approach. With this approach, a conceptual model is created using GIS objects, including points, arcs, and polygons. The conceptual model is constructed independently of a mesh or grid. It is a high-level description of the site including geometric features such as channels and banks, the boundary of the domain to be modeled, flow rates and water surface elevations of boundary conditions, and material zones with material properties such as Manning's n value. Once the conceptual model is complete, a mesh or grid network is automatically constructed to fit the conceptual model, and the model data are converted from the conceptual model to the elements and nodes of the mesh network.