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GPU CABARET Solutions for the SILOET Jet Noise Experiment: Flow and Noise Modelling

机译:用于SILOET喷气噪声实验的GPU CABARET解决方案:流动和噪声建模

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The GPU CABARET method solver is further optimised for conducting industrially relevant acoustic sensitive LES calculations on GPU cards in the computer-under-the-desk mode. The solver is combined with an efficient implementation of the Ffowcs Williams -Hawkings (FW-H) penetrable surface method which allows on-the-fly computations of acoustic integrands within a flexibly wide range of acoustic surfaces to accommodate the sensitivity of the FW-H method to the grid resolution and flow details at a moderate computational cost The grid sensitivity study has been performed for the static and coflow, isothermal and heated jet cases from the recent SILOET experiment on several LES grids. The flow solutions are compared with the reference RANS/LES calculations of Tucker et al (2014). Acoustic spectra predictions are obtained and compared with the experiment in each case.
机译:GPU CABARET方法求解器经过了进一步优化,可在台式计算机模式下对GPU卡进行与工业相关的声敏感LES计算。该求解器与Ffowcs Williams-Hawkings(FW-H)穿透表面方法的有效实现相结合,该方法可在广泛的声学表面范围内动态计算声学被积物,以适应FW-H的灵敏度网格解析度和流量细节的方法,计算成本适中从最近在几个LES网格上进行的SILOET实验中,已经对静态和同流,等温和热射流情况进行了网格灵敏度研究。将流动解决方案与Tucker等人(2014)的参考RANS / LES计算进行了比较。获得了声谱预测,并与每种情况下的实验进行了比较。

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