Method and computerproduct for modeling the sound emission and propagation of systems over a wide frequency range

Abstract

The invention relates to a process for predicting the emission by a source of sound and its propagation within a surrounding medium, over a wide frequency range, wherein the system, including the source and the surrounding medium, has been represented by small and simple elements e. For each element e and each frequency f i , a parameter P e, i is associated to the element by an a priori error estimator, characterizing the polynomial degree used to approximate the sound field, at frequency f i , a parameter P e,max is determined for the element, corresponding to the maximum P e,i parameter calculated by the estimator over the frequency range. For each element e , elementary matrices K e,max and M e,max characterizing the contribution by the element to the stiffness and the mass, respectively, of the system, are determined using said parameter P e,max . For each frequency f i and for each element e , parameter P e,i is used to determine the polynomial degree used to approximate the sound field, elementary matrices K e,i and M e,i , relative to all elements, are extracted out of the matrices K e,max and M e,max and are assembled into global matrices K i and M i , representing, respectively, the stiffness and the mass of the system, a global matrix system Z i is established on the basis of global matrices K i and M i and eventually the global matrix system is solved using a linear solver.

Description

technical field [0001] The invention relates to the field of predicting the emission of sound sources and their propagation in the surrounding medium, source and medium forming systems. Prediction should be performed over a wide frequency range. A system can be any kind of system, basically a mechanical system such as a vehicle or an electronic device. Background technique [0002] The health effects of noise are increasingly recognized and a public health concern. Indeed, exposure to elevated sound levels is recognized as extremely dangerous and can cause hearing damage, high blood pressure, and sleep disturbances, among other things. The most notable risks are caused by vehicle and aircraft noise, long-term exposure to loud music, and industrial noise. [0003] These considerations have made noise reduction a mainstream issue for today's manufacturers. For example, in the automotive industry, sound emissions are a well-established norm in today's car designs. First, c...

AI Technical Summary

Problems solved by technology

The present invention proposes an algorithm for solving wave propagation problems at multiple frequencies using a domain approach based on hierarchical high-order discretization and the use of prior estimators

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