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Open-source platforms for fast room acoustic simulations in complex structures

机译:复杂结构中快速室声学模拟的开源平台

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This article presents new numerical simulation tools, respectively developed in the Matlab and Blender environments. Available in open-source under the GPL 3.0 license, it uses a ray-tracing/image-sources hybrid method to calculate the room acoustics for large meshes. Performances are optimized to solve problems of significant sizes (typically more than 100.000 surface elements and about a million of rays). For this purpose, a Divide and Conquer approach with a recursive binary tree structure has been implemented to reduce the quadratic complexity of the computation of ray/element interactions to near-linear. Thus, execution times are less sensitive to the mesh density, which allows simulations of complex geometries. After ray propagation, a hybrid method leads to image-sources, which can be visually analyzed to localize sound map. Finally, impulse responses are constructed from the image-sources and FIR filters are proposed natively over 8 octave bands, taking into account material absorption properties and propagation medium. This algorithm is validated by comparisons with theoretical test cases. Furthermore, an example on a quite complex case, namely the ancient theater of Orange is presented.
机译:本文介绍了新的数值模拟工具,分别在Matlab和Blender环境中开发。在GPL 3.0许可证下的开源可用,它使用光线跟踪/图像源混合方法来计算大网格的房间声学。性能经过优化,以解决显着尺寸的问题(通常超过100.000个表面元素以及大约一百万的光线)。为此目的,已经实现了具有递归二叉树结构的划分和征服方法,以降低光线/元素相互作用的计算与接近线性的二次复杂性。因此,执行时间对网状密度敏感,这允许模拟复杂几何形状。在射线传播之后,混合方法导致图像源,可以在视觉上分析到本地化声音图。最后,从图像源和FIR滤波器构成脉冲响应,并在8个八个八个八个八个八个八度带上提出,考虑到材料吸收性能和传播介质。通过与理论测试用例的比较验证该算法。此外,在一个相当复杂的情况下,即呈现橙色古老剧院的一个例子。

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