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Random noise analysis method and system based on sequence planning sampling point technology

A technique for sequence planning and random noise, applied in the field of noise analysis, which can solve problems such as low computational efficiency

Pending Publication Date: 2020-07-17
CENT SOUTH UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Therefore, for random noise analysis problems with many uncertain parameters, the chaotic expansion method based on Gaussian integral still has the defect of low computational efficiency

Method used

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  • Random noise analysis method and system based on sequence planning sampling point technology
  • Random noise analysis method and system based on sequence planning sampling point technology
  • Random noise analysis method and system based on sequence planning sampling point technology

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Embodiment 1

[0086] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further described below in conjunction with specific illustrations.

[0087] figure 1 The flow of the random noise analysis method based on the sequence planning sampling point technique is shown.

[0088] Such as figure 1 As shown, the present invention provides a random noise analysis method based on sequence planning sampling point technology, comprising the following specific steps:

[0089] Step (1) Establish figure 2 The stochastic finite element model of the structure-acoustic coupling system shown:

[0090] (1) Establish the finite element model of the structure-acoustic cavity coupling system, the specific expression is ZU=F (1)

[0091] In the formula, Z represents the dynamic stiffness matrix of the structure-acoustic cavity coupling system; U and F represent the response vector and excitation vect...

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Abstract

The invention discloses a random noise analysis method and system based on a sequence planning sampling point technology. The method comprises the following steps: establishing a random finite elementmodel of a structure-acoustic cavity coupling system; establishing random polynomial chaotic expansion of noise response of the random finite element model; generating Gaussian integral points corresponding to the polynomial basis, and taking the Gaussian integral points as candidate sample points; performing sparse sampling on the candidate sample points based on a sequence planning sampling point technology to obtain sparse sampling points; calculating an undetermined coefficient of any polynomial chaotic response surface by utilizing the sparse sampling points; and solving the probabilitystatistical characteristics of the system noise response. According to the method, the noise response of the random structure-acoustic cavity coupling system can be effectively predicted, and theoretical guidance is provided for reliability analysis and optimization design of the subsequent structure-acoustic cavity coupling system.

Description

technical field [0001] The invention relates to the field of noise analysis, in particular to a random noise analysis method and system based on sequence planning sampling point technology. Background technique [0002] The structure-acoustic cavity coupling system, which is formed by coupling the structure and the acoustic cavity, is widely used in high-speed trains, airplanes and other transportation equipment. Under the action of external excitation, the structure-acoustic cavity coupling system will generate noise, and the noise will affect the comfort of passengers and even endanger the health of passengers. In order to effectively control product noise, it is necessary to adopt a suitable noise analysis method. Traditional noise analysis methods are often based on deterministic numerical analysis models, which essentially do not consider the uncertainty of structure and acoustic cavity system parameters. In actual engineering, stochastic uncertainty generally exists ...

Claims

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Application Information

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IPC IPC(8): G06F30/23G06F119/10
Inventor 尹盛文王中钢
Owner CENT SOUTH UNIV
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