Vertex analysis method for in-car vibration noise prediction based on agent model

Abstract

The invention provides a vertex analysis method for in-car vibration noise prediction based on an agent model. The method comprises the steps that at first, a finite element model of the in-car vibration noise prediction is established according to actual demands of an engineering field, and a target response is determined according to a given target space position and a target frequency scope; secondly, an interval model is used to quantify uncertain parameters, a Gaussian integration point is used to sample interval parameters, and the finite element model of the in-car vibration noise prediction is used to compute real responses at interval parameter sample points; and finally, the agent model of the target response is established by the real response values of a discretization scheme based on high-dimensional model representation theories, values of the agent model at all the vertexes of a hypercube are computed based on a vertex analysis theory, and finally a frequency response distribution of in-car vibration noise interval boundaries can be obtained. The method provided by the invention overcomes dependence of the in-car vibration noise prediction on large sample size experiment data of parameters and applicability limiting of small-interval parameters; and the method provides a basis for formulation of noise reduction measures such as in-car noise optimization and control.

Description

technical field [0001] The invention relates to the technical field of equipment noise measurement, in particular to a vertex analysis method for prediction of interior vibration and noise based on a proxy model, which is suitable for the field of analysis, optimization and control of automobile interior noise. Background technique [0002] With the advancement of science and technology and the improvement of economic level, the competition in the world automobile market is becoming increasingly fierce. Every market level is filled with similar models with similar functions that are constantly launched by major automobile manufacturers. With the improvement of road conditions and the application of vehicle vibration ride comfort research results, vehicle interior noise plays an increasingly important role in evaluating vehicle ride comfort. In this context, the interior acoustic environment, which is the most intuitive experience of car quality, has become an important decis...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is: to overcome the dependence of the random vibration and noise prediction method in the vehicle on the large sample capacity test data of the parameters, to overcome the applicability limitation that the existing method is only applicable to the parameters between the cells, and to provide a method with satisfactory calculation accuracy Prediction method of vibration and noise fluctuation range in vehicle interior with computational efficiency

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