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Tools for modeling various complex phenomena have been one of the powerful side-effects of the digital revolution, albeit less visible due to their highly technical nature. These utilities have allowed engineers and scientists to seek ever increasing improvements to their designs and innovations. OpenFLUID is one such toolkit that can be used to model flux changes in landscape systems accurately. Among possible uses, one can mention hydrology and topology studies, as well as urban charting and road building. Any new development site can employ it to generate precise landscape usage statistics and it can be put to other uses, as long as one defines the spatial domain, the flux model and the discrete events involved. The program can be run both in command line mode and with a graphical user interface. There is no significant difference between these two modes and the same models can be generated with either method. That being said, the GUI-based version is evidently more user-friendly and newcomers are well-recommended to test it before moving on to the command line component. The utility builds models based on multiple input parameters, including simulators, generators, unit classes, and observers. If opting for the GUI-based builder, users also have the option to preview results, including the model maps. These serve as visual previews of the output models and coupled model graphical views can also be exported to PNG and SVG formats. The modeler comes with three built-in samples that can be thoroughly tested to assess the power of the simulator and an ample manual, complete with a detailed wiki are available to ensure users obtain adequate results.







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OpenFLUID Product Key is a Computer Aided Design (CAD) and Computer Aided Engineering (CAE) modeling toolkit. It is a high-performance, high-integration-scope numerical simulation toolkit that is capable of describing complex systems. It can model complex landscapes such as (both artificial and natural) hydrological and topological events. These models are either (1) 2-D, (2) 3-D or (3) 4-D. A 2-D model is like a map that represents a cross-section of a system. This representation is useful in many ways. For example, it is possible to review a system from any angle and to understand the overall behavior of a watershed. It is also possible to create 2-D models that can be then used to explore a landscape from a different perspective, such as when performing a topological study, etc. Modeling is done through an efficient hybrid numerical and simulation algorithm. A model is built by defining its spatial domain, flux model and discretization, whereas simulation is done through the efficient hydraulic simulator OpenFLUID. The simulator is a transport-based simulation model that can incorporate urban land use, ground surface and subsurface material definitions, urban roads, bridges, ditches, surface water bodies and even complex stream and river networks. In this manner, OpenFLUID is capable of modeling a wide range of hydrologic and topologic events and has the flexibility to model complex hydrologic events. OpenFLUID is able to describe some other features such as groundwater, surface and subsurface soil, landscape morphology and its change over time, vegetation and pollution. There are also numerous built-in unit classes which allow non-hydrologists to exploit this modeling capability. For example, the built-in capacity to perform the following tasks (among others) makes OpenFLUID useful for many different types of landscape and landscape-related modeling. 1.3. 2-D modeling – capturing various aspects of landscape evolution 3-D modeling – capturing various aspects of landscape evolution 4-D modeling – capturing various aspects of landscape evolution Spatial domain – capturing various aspects of landscape evolution Flux modeling – capturing various aspects of landscape evolution OpenFLUID Features 1. OpenFLUID is a powerful modeling software to create models with multiple features and is thus useful in many applications, among them: 2. 3. 4

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Simulator – The simulator simulator is what handles the complex modeling. It comes with three public implementations – DGML, Gmsh, and Netgen. For a more detailed explanation of simulators, please visit the Simulator section. Generator – The generator component is a general purpose tool that can be used to build any system, such as rock mass strata, water distribution networks, pollutant transport, or even grand engineering projects, such as a canal project. The generator will install the components as needed, including setting the model version, any necessary software licenses, and it will create the model’s unit definition file (`.udf`). The downloaded and installed generator will be available under the Working Groups / Themes / Generator_units sub-section. Unit – A unit is simply a class that is to be a simulation parameter. For a more detailed explanation of units, please visit the Unit section. Event – An event is simply an event trigger in this tool. For a more detailed explanation of events, please visit the Event section. Observer – An observer is where the information is actually collected. It is the place where the simulation data will be stored, such as point coordinates, linestrings and polygons, and the toolkit itself can be part of it. For a more detailed explanation of observers, please visit the Observer section. Mapping – A mapping is a way to represent complex models on a flat map, such as a GIS or mapping software. It is the representation of the model inside the view, as opposed to the representation of the model on the map. Toolkit for non-mathematical applications that are designed to work with flux simulations. The program is designed to handle 2D landscapes as well as free-space and confined space scenarios. The program supports different solvers, discrete and continuous. The results can be exported to various formats such as.DXF,.MDS, or.SMD, that can be viewed in such popular GIS software as MicroStation, AutoCAD, or AutoCAD LT. The toolkit comes with a few built-in examples that can be used to get acquainted with the utility. One can also check for the latest developments by exploring the Wiki and the forums. Simulator DGM is a 2D simulation toolkit with many simulation options. It is intended b7e8fdf5c8


4.0.0 Full Description of the Utility: There are numerous ways to define the spatial domain, the flux model and the discrete events. The most common of the three I have encountered so far is to define a dataset that specifies the cells, their attributes, the classes that are applicable in the cell, the spatial resolution of the simulation (exact time or steps per second) and the other parameters needed for the model build, such as the maximum number of layers and grid cell sizes. The “layer count” parameter is used to decide the number of layers in the grid cell, each layer having the same number of cells (starting at one). This number is set by an index parameter supplied to the OpenFLUID_Layers_Num constructor. When the layers count is set to zero, a “static” grid will be generated. When the layers count is set to one or more, the result will be a “dynamic” grid. This is a better solution because changing the layers count does not necessarily require changing the model by hand. There are two ways to extend the grid, one by class and one by index. The former solution uses a model component that tells OpenFLUID how many cells a class covers. The latter solution uses a grid component that tells the utility how many cells a specific cell covers. Model components are referenced through qualifiers (surfaces, ellipses, nodes), attributes (multiplier, length, width, position, origin, angle), or variables (samples, lat, lon, layers). They are represented as so called Regions. The regions are (or at least should be) stored in variables (stored data). They are used by the model builders. A model will contain multiple regions. The difference between regions and classes is that a region has the opportunity to have a source of samples (lat, lon, samples), attributes and directions. Every region has a meta-region (defined by the RReference), which is the base region used by OpenFLUID. The meta region will contain the source of samples and attributes. Direction is sourced directly from the model’s base class. The region that is defined by the index parameter is the base region, regardless of what the layers count is set to. When regions are defined (i.e., when layers are higher than zero), a role region is created for every role, defined in

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The OpenFLUID is a versatile tool that can be used to produce different types of models. As its name suggests, it attempts to model the Fluid Dynamics using the Generalized-Lagrangian formulation. Using built-in Fluid Dynamic variables, the tool uses a collection of existing equations and can be set up to work with different types of simulators. As for the solvers, a collection of five such classes are provided along with an additive-sum integrator and a Gascog solver. To test the functionality of these and other components included in the package, samples can be run from three different sets of units, namely the Hydro Unit Classes, the Design Unit Classes and the Maps Unit Classes. The map unit classes can be coupled with any of the included generators, while the design and hydro units are coupled exclusively with the included simulators. The simulator set includes the TFluid, which is an OpenFluid multiphysics simulator of the flow in an arbitrary three-dimensional volume, the TFluid3D – which works in 3D, but it can also be used for 2D applications, as well as TGRAPH – which is a 3D dynamic graph calculator. With regards to available plugins, the program comes with a Suite, a Unit Tracker, a Unit Resolver, a Graph Visualizer, a Graph Viewer, a Unit Creator, a Unit Creator from Meshes, a Pid Controller, a Block Builder, a Connector Builder, a Block Viewer, a Block Editor, a Solver Viewer, an Observer Browser, an Observer Builder, an Observer Creator, an Observer Editor, and a Unit Creator from PDF, SVG or DXF. All the plugins work in the same way and they enable users to generate a system of units such as pipes, quantities, pumps, valves, and boundaries, all in a centralized panel, with only a few clicks. Importantly, these components also work on units such as pipes, pumps, valves, boundaries, and quantities. With plugins in place, the first task of a user is to ensure that units are properly coupled with the corresponding plugin. This is done using the provided unit resolver, which when the required interface units are not available in the system, the plugin will be generated. The second task is to create a suite, which is a set of interfaces between multiple simulators and units that could be used to streamline the model creation and simulation processing.

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