000007685 001__ 7685
000007685 005__ 20240531164756.0
000007685 02470 $$2doi$$a10.24868/issn.2515-818X.2020.044
000007685 035__ $$a4497846
000007685 037__ $$aGENERAL
000007685 245__ $$aAdvanced simulations of Underwater Radiated Noise (URN) predictions for naval ships
000007685 269__ $$a2020-10-05
000007685 336__ $$aConference Proceedings
000007685 520__ $$aCharacteristics of underwater Radiated Noise (URN) is an important index to evaluate stealth performance of naval vessels. In general, URN signature is measured after the vessel is built and at that stage any effort to minimize URN becomes a big challenge as consequential structural modification or changes to any critical machinery may lead to substantial cost implications and in some scenarios might not be possible. Hence, it is always beneficial to perform design iterations based on URN predictions at the initial design stage. In recent years numerical simulations have evolved a lot especially in the field of aerospace and automobile industry. The perfectly matched layer (PML), recently formulated by Berenger, for the absorption of radiated/scattered waves in computational acoustics and its effectiveness as a non-reflecting boundary, is applied to predict the sound radiated/scattered in far field. This paper explains a hybrid approach involving finite element method (FEM) and adaptive PML model for structure borne noise (SBN) due to critical mechanical machinery and Computational Fluid Dynamics (CFD) - Boundary Element Method (BEM) model for hydrodynamic noise due to propeller action. This paper addresses some of the challenges encountered and demonstrates how they can be mitigated using hybrid approach and the use of novel techniques.
000007685 542__ $$fCC-BY-4.0
000007685 6531_ $$aHybrid
000007685 6531_ $$aFEM
000007685 6531_ $$aBEM
000007685 6531_ $$aCFD
000007685 6531_ $$aPML
000007685 6531_ $$aSBN
000007685 6531_ $$aSPL
000007685 7001_ $$aChaturvedi, A$$uIndian Register of Shipping, Mumbai
000007685 7001_ $$aJoga, RK$$uIndian Register of Shipping, Mumbai
000007685 7001_ $$aDhavalikar, S$$uIndian Register of Shipping, Mumbai
000007685 7001_ $$aGirish, N$$uIndian Register of Shipping, Mumbai
000007685 773__ $$tConference Proceedings of INEC
000007685 773__ $$jINEC 2020
000007685 789__ $$whttps://zenodo.org/record/4497846$$2URL$$eIsIdenticalTo
000007685 85641 $$uhttps://www.imarest.org/events/inec-2020$$yConference website
000007685 8564_ $$9713d1cba-bd21-48cb-86eb-0e6b5b8b9b31$$s1770339$$uhttps://library.imarest.org/record/7685/files/INEC_2020_Paper_68.pdf