In-car random vibration noise prediction method based on sparse grid point collocation theory

A vibration noise, sparse grid technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., to achieve the effect of improving calculation accuracy

Inactive Publication Date: 2016-09-21
BEIHANG UNIV
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to consider the influence of the uncertainty of material parameters, sound field medium characteristic parameters and external load parameters on the vibration and n

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  • In-car random vibration noise prediction method based on sparse grid point collocation theory
  • In-car random vibration noise prediction method based on sparse grid point collocation theory
  • In-car random vibration noise prediction method based on sparse grid point collocation theory

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Embodiment Construction

[0022] The present invention will be further described below with reference to the accompanying drawings and specific embodiments.

[0023] The present invention is a method for predicting random vibration and noise in a vehicle based on the sparse grid collocation theory. image 3 and Figure 4 The finite element model of the vehicle interior vibration and noise prediction is shown and the spatial location and frequency range of interest are determined; secondly, after the uncertainty is quantified by the stochastic model, the random parameters are sampled and calculated based on the sparse grid collocation theory The response value at the sample point; finally, based on the chaotic polynomial expansion coefficient of the response, the mean frequency response distribution and the variance frequency response distribution of the vibration noise in the vehicle are obtained. However, there are many different metrics and evaluation indexes for the acoustic quality of the vehicle ...

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Abstract

The invention discloses an in-car random vibration noise prediction method based on a sparse grid point collocation theory. The method comprises the following steps: firstly, according to the practical requirements of an engineering field, establishing a finite element model for in-car random vibration noise prediction, and determining a target spatial position and a target frequency range; secondly, after a random model realizes the quantification of relevant uncertainty, sampling random parameters on the basis of the sparse grid point collocation theory, and utilizing the finite element model for the in-car random vibration noise prediction to calculate a response value on each random parameter sample point; and finally, according to a discrete scheme response value, calculating to obtain the coefficient matrix of a polynomial chaos expansion agent model responded by the in-car random vibration noise, and furthermore, calculating to obtain the mean value frequency response distribution and the variance frequency response distribution of the in-car random vibration noise on the basis of the coefficient matrix. The method simultaneously considers the random effect on the in-car random vibration noise by external load and structure material parameters and air dielectric characteristic parameters, and provides a basis for formulating noise reduction measures including in-car noise optimization and control and the like.

Description

technical field [0001] The invention relates to the technical field of equipment noise measurement, in particular to a method for predicting random vibration noise in a vehicle based on a sparse grid collocation theory, which is suitable for the analysis, optimization and control of vehicle interior noise. Background technique [0002] With the development of the world auto industry and the expansion of market demand, it is the goal of all auto manufacturers to maintain the strong competitiveness of auto products and to expand market share. At the same time, with the rapid development of science and technology and the change of people's consumption concept, the concept of automobile is developing and extending from "means of transportation" to "living space", and consumers have higher and higher requirements for the comprehensive performance of automobiles. While considering performance indicators such as fuel economy, power, safety, handling stability, and ride comfort, the...

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/23Y02T90/00
Inventor 邱志平许孟辉王晓军王冲李云龙郑宇宁陈贤佳张泽晟
Owner BEIHANG UNIV
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