A Method for Predicting Sound Insulation Performance of Flat Panels Based on Best Square Approximation Theory

Abstract

The invention discloses a method for predicting sound insulation properties of a flat plate based on an optimal square approximation theory. First, uncertainty is quantified as an interval model according to uncertainty test data; second, an optimal square approximation order of an interval parameter and a Gaussian integral point are determined based on the nonlinearity degree of inherent attributes of a flat plate sound insulation system with respect to the interval parameter, and an optimal sound insulation property frequency band is defined by utilization of an inherent attribute value of the flat plate sound insulation system at the position of a sample point and the optimal square approximation theory; finally, an optimal square approximation order of the flat plate sound insulation amount with respect to the interval parameter is determined, and a Gaussian integral point is utilized to sample the interval parameter; at the position of any frequent point within the optimal sound insulation property frequency band, the sound insulation amount interval limit is calculated through the sound insulation amount of the flat plate at the position of the sample point and the optimal square approximation theory, and the sound insulation properties of the flat plate under the influence of uncertain factors are output. According to the method, the influence of uncertainty on the inherent attributes of the flat plate sound insulation system and the sound insulation properties is considered, and the method can be used for guiding engineering application of the uncertainty.

Description

technical field [0001] The invention relates to the technical field of equipment noise measurement, in particular to a method for predicting the sound insulation performance of a flat panel, which is suitable for the analysis and application direction of sound insulation and passive noise reduction in the field of noise control. Background technique [0002] Noise, especially the jet noise and aerodynamic noise of aerospace systems, has serious harm to structural systems, internal occupants and instrumentation systems. In addition to eradicating noise from the sound source and taking noise protection measures at the receiving point, noise reduction can also be achieved by taking acoustic control measures (such as sound insulation panels, sound insulation covers, sound absorption and damping treatments, etc.) on the noise transmission path Within an acceptable range, sound insulation is one of the most commonly used acoustic control measures, which uses materials (components,...

AI Technical Summary

Problems solved by technology

However, in the field of practical engineering, due to the limitations of objective conditions such as test levels, the sample size of experimental data with uncertain parameters is very limited, and it is difficult to achieve high-precision fitting of the probability density function or cumulative distribution function of uncertain parameters. It can greatly reduce the dependence of quantitative models on large sample volume test data and is favored by researchers and engineers

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