Landing gear noise prediction method is developed using Building-Cube Method (BCM). The BCM is a multiblock-structured\r\nCartesian mesh flow solver, which aims to enable practical large-scale computation. The computational domain is composed of\r\nassemblage of various sizes of building blocks where small blocks are used to capture flow features in detail. Because of Cartesianbased\r\nmesh, easy and fast mesh generation for complicated geometries is achieved. The airframe noise is predicted through the\r\ncoupling of incompressible Navier-Stokes flow solver and the aeroacoustic analogy-based Curle�s equation. In this paper, Curle�s\r\nequation in noncompact formis introduced to predict the acoustic sound from an object in flow. This approach is applied to JAXA\r\nLanding gear Evaluation Geometry model to investigate the influence of the detail components to flows and aerodynamic noises.\r\nThe position of torque link and the wheel cap geometry are changed to discuss the influence. The present method showed good\r\nagreement with the preceding experimental result and proved that difference of the complicated components to far field noise was\r\nestimated. The result also shows that the torque link position highly affects the flow acceleration at the axle region between two\r\nwheels, which causes the change in SPL at observation point.
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