Predication and comprehensive control of self-noise of ship's sonar platform

Abstract

ObjectivesThis paper aims to solve the problem of the prediction and control of the bow sonar self-noise. MethodsA self-noise simulation model of the ship's sonar platform based on the entire ship is established by statistical energy analysis (SEA). Based on the prediction results, the self-noise reduction effects of a sound absorption wedge, polyurethane and concave-shaped acoustic baffle are studied. The effects of the sound transmission window on flow-induced noise are then discussed in the two aspects of material and structure. ResultsThe results show that bow sonar self-noise can be reduced to a certain extent by laying a sound absorption wedge on the non-transparent interface, and bow sonar mechanical noise can be effectively reduced by laying polyurethane material, while the noise reduction effects of flow-induced noise and propeller noise are relatively small. Bow sonar mechanical noise and propeller noise can be effectively controlled by setting a concave-shaped acoustic baffle. Compared with a single-layer glass reinforced plastic (GRP) window with the same thickness, a sandwich titanium alloy window can better suppress flow-induced noise on the bow sonar platform. ConclusionsThe simulation results provide a theoretical basis and data support for the noise reduction design of bow sonar platforms.

Keywords

• sonar platform
• self-noise prediction
• noise control
• statistical energy analysis