Shipboard noise prediction algorithms

Abstract

For new ship designs to have acceptable noise environments, it is imperative that effective acoustical prediction tools be used. Accurate prediction tools can be used to optimize the selection of treatments and aid in trade-off studies. In this manner the typical adverse impact of noise control treatments on space, weight, cost, and operation of the vessel can be minimized. This paper describes the algorithms used in a hybrid Statistical Energy Analysis (SEA) airborne noise prediction program specifically geared for marine applications. The program combines the elements of architectural acoustic, energy analysis and empirical data collected over many ship projects. It accounts for the unique features involved with marine structures and is applicable to most types of large and small vessels mono-hulls, catamarans, surface effect ships (SESs) or Small Water Area Twin Hulls (SWATHs). Not only does the program predict the noise levels it can be used to determine the primary transmission paths, vibration levels, and radiation efficiency of any structural component, and composite panel transmission loss. The program has been employed with great success on over a dozen projects. Comparison of predicted and measured noise levels will be presented.