Computational geometry domain

  • How do I choose a domain size for CFD?

    It really depends on your model and intended purpose.
    For really stringent work/papers, you do a domain convergence analysis for this.
    In many general cases, just use 10 x legnth in the streamwise direction.
    This is done so that the boundary conditions do not have any unintended consequences on your solution..

  • What are the branches of computational geometry?

    Computational geometry is largely classified into two major branches: combinatorial computational geometry and numerical computational geometry.
    The first deals with geometric objects as discrete entities..

  • What is the computational domain?

    The computational domain (Figure 1) refers to an external volumetric region that surrounds the building model, where the basic flow equations are discretised and solved..

  • What is the domain of a CFD?

    CFD computational domain definition.
    A Computational Fluid Dynamics (CFD) domain is the portion of space where the solution of the CFD simulation is calculated.
    The computational domain needs to be discretised into a computational grid (or mesh) to solve the discretised equations of fluid flows..

  • It really depends on your model and intended purpose.
    For really stringent work/papers, you do a domain convergence analysis for this.
    In many general cases, just use 10 x legnth in the streamwise direction.
    This is done so that the boundary conditions do not have any unintended consequences on your solution.
  • Solution Domain.
    Geometry or computational domain for CFD simulation requires a water tight geometry with simplification to handle the mesh creation process.
    Solution of computational domain refers to .
    1. D or
    2. D geometry in which fluid flow and/or heat transfer phenomena need to be solved
  • The computational domain (Figure 1) refers to an external volumetric region that surrounds the building model, where the basic flow equations are discretised and solved.
Computational geometry is a multidisciplinary domain which is at the frontier between mathematics and computer science: the members of its community take advantage of fundamental theoretical results, from several area of mathematics (for example topology, statistics, differential geometry, but also combinatorics, graph
In a broader sense computational geometry is concerned with the design and analysis of algorithms for solving geometric problems. In a deeper sense it is the study of the in- herent computational complexity of geometric problems under varying models of computation.

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