首页> 外文会议>International Symposium on Advances in Computational Heat Transfer >A ROBUST MONTE CARLO BASED RAY-TRACING APPROACH FOR THE CALCULATION OF VIEW FACTORS IN ARBITRARY 3D GEOMETRIES
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A ROBUST MONTE CARLO BASED RAY-TRACING APPROACH FOR THE CALCULATION OF VIEW FACTORS IN ARBITRARY 3D GEOMETRIES

机译:基于强大的蒙特卡罗基于射线跟踪方法,用于计算任意3D几何形状视图因子

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Drawing on ideas from computer-based graphical representations, the conventional use of finite element based approaches to represent three-dimensional (3D) geometries of interest is challenged in this work by the use of a modest suite of geometric 'primitives' (i.e. generic shapes such as a sphere, a cone, a flat surface) that in combination via a set of affine transformations can provide a realistic approximation to almost any conceivable 3D body. Initially, a robust C~++ program using the latest CPU vectorisation technologies (e.g. OpenMP and Streaming SIMD Extensions) was developed and validated against a broad range (around a dozen) of known analytical view factor solutions. The impact of ray density level, random number generators, and 'fast' numerical approximations for widely used trigonometric functions were all extensively examined at this stage in terms of solution accuracy and required run-time. Extensive use was made at this stage of the in-built program profiling capabilities within the XCode 4.2 IDE to identify 'choke points' within the evolving computer code.
机译:绘制基于计算机的图形表示的想法,通过使用适度的几何“基元”(即通用形状,在这项工作中挑战了基于计算机的图形表示的思想,以代表三维(3D)的兴趣的方法在这项工作中受到挑战。如球体,锥形,平坦表面),通过一组仿射变换组合可以提供几乎任何想到的3D体的真实近似。最初,使用最新的CPU向量技术(例如OPENMP和流SIMD扩展)的强大C〜++程序并验证并验证已知的分析视图因子解决方案的宽范围(大约十几个)。射线密度水平,随机数发生器和“快速”数值近似对广泛使用的三角函数的影响在解决方案准确性和所需的运行时间方面全部在此阶段广泛检查。在Xcode 4.2 IDE内的内置节目分析功能的此阶段进行了广泛的用途,以识别不断变化的计算机代码中的“扼流点”。

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