Acoustic target intensity simulation method based on multi-GPU multi-resolution bounce rays

Abstract

The invention discloses an acoustic target intensity simulation method based on multi-GPU multi-resolution bounce rays, and mainly solves the problems that the time for carrying out sound ray tube bundle splitting calculation on a CPU in a serial mode is long, and real-time forecasting is not facilitated in the prior art. The method comprises the following steps: 1) drawing a simulation model andcarrying out mesh generation; 2) constructing a KD tree for the subdivided model and generating a virtual aperture surface and an angular top ray of a sound ray tube bundle; 3) tracking the angle toprays, if the four angle top rays of the sound ray tube bundle do not intersect with the same triangular surface element, splitting the sound ray tube bundle in parallel until the splitting frequency reaches a set threshold value, and then performing scattering sound field integration; 4) accumulating scattered sound field integral results of each time, and calculating the sound target intensity. The method reduces the simulation calculation amount, improves the sound target intensity simulation speed, can meet the actual engineering requirements, and can be used for the real-time simulation ofthe sound target intensity on a multi-GPU platform.

Description

technical field [0001] The invention belongs to the field of computer applications, and in particular relates to a multi-GPU multi-resolution bouncing ray acoustic target strength simulation method, which can be used for fast simulation of the acoustic target strength of an underwater target. Background technique [0002] The intensity of underwater acoustic target is an important parameter to describe the far-field echo characteristics of underwater targets. There are many methods to predict the scattering characteristics of underwater targets, such as boundary element BEM, finite element FEM and T matrix method. The disadvantage of these methods is: for large-scale objects, the calculation speed is very slow. The plate element PEM method proposed by Fan Jun et al. in 2012 approximates the target surface with triangular elements, and obtains the approximate value of the scattered sound field of the entire target by superimposing the scattered sound field of each triangular ...

AI Technical Summary

Problems solved by technology

The disadvantage of these methods is: for large-scale objects, the calculation speed is very slow

However, when using the multi-resolution bouncing ray method to calculate the acoustic target intensity of underwater targets on the central processing unit CPU, the splitting process of the acoustic ray tube bundles in a serial manner takes too long to calculate, which is not conducive to real-time forecasting

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