Go4Hybrid : Grey Area Mitigation for Hybrid RANS-LES Methods
Go4Hybrid : Grey Area Mitigation for Hybrid RANS-LES Methods
复制标题
Go4Hybrid：混合 RANS-LES 方法的灰色区域缓解
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
D. Schwamborn
中科院分区：
文献类型：
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作者：
C. Mockett;W. Haase;D. Schwamborn
航空工业对靠近飞行包线边界的高度非线性、不稳定流动区域的计算流体动力学 (CFD) 的准确性缺乏信心，这需要先进的方法和方法。混合 RANS-LES 方法 (HRLM) 系列是下一代 CFD 方法的最佳候选者，可以以工业可行的成本提高保真度。虽然 HRLM 已被证明在强或大量流分离的情况下比传统 (U)RANS 方法表现得更好，但一旦必须处理薄分离区域和剪切层不稳定性较弱的情况，它们就会受到灰色区域问题的阻碍。由于这些区域对于飞机性能（升力、载荷）非常重要，HRLM 的接受程度在很大程度上取决于减轻灰色区域 (GA) 范围的能力。借助新的/先进的灰色区域缓解方法，Go4Hybrid 项目提供混合 RANS-LES 方法，通过提高灵活性和减少用户决策负担来提高预测能力。因此，未来使用这些高度复杂的方法的动力与相当大的影响是一致的： • 通过开发和演示普遍适用的扩展来缓解灰色区域问题，从而将其适用性扩展到性能前沿的重要工业流程，从而实现超越非区域方法最先进水平的进展。 • 对于嵌入式方法，重点将放在改进方法上，以便它们适用于拨款协议 ID：605361 项目网站
The aeronautical industry lacks con dence in the accuracy of computational uid dynamics (CFD) in areas of highly non-linear, unsteady ows close to the ight envelope borders, which demands advanced approaches and methods. The family of Hybrid RANS-LES Methods (HRLM) is the best candidate for the next generation of CFD methods for increased delity at industrially-feasible expense. While HRLM have been proven to perform considerably better than conventional (U)RANS approaches in situations with strong or massive ow separation, they are hampered by the Grey Area issue once they have to deal with thin separation regions and where shear layer instabilities are weaker. As exactly these areas are of high importance for aircraft performance (lift, loads) the acceptance of HRLM strongly depends on the ability to mitigate the extent of the Grey Area (GA). With the new/advanced Grey Area mitigation approaches, the Go4Hybrid project offers hybrid RANS-LES methods that improve predictive capability with increased exibility and reduced user decision load. Hence, the incentive for future use of these highly sophisticated methods goes in line with a considerably high impact: • Progress beyond the state-of-the-art for non-zonal methods is achieved by the development and demonstration of generally-applicable extensions to mitigate the Grey Area problem, thereby extending their applicability to important industrial ows at the performance frontiers. • For embedded methods, a focus will be placed on improving methods so that they are applicable to Grant agreement ID: 605361 Project website