Low-frequency broadband sound absorber inverse design method based on GP-BM

A GP-BM and design method technology, applied in the field of acoustics, can solve the problems of time-consuming cost and huge computing resources, and achieve the effect of rapid optimization of acoustic goals and efficient inverse design

Pending Publication Date: 2022-02-11
NANJING UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This technology allows for quick optimization of an audio device's characteristics without relying solely upon its mathematical models or assumptions about how it works at lower frequencies than usual. It also uses smaller samples from different sources instead of continuously updating all possible configurations that are used during designing process.

Problems solved by technology

The technical problem addressed by this patented technology relates to improving the acoupling between two different materials without requiring significant calculations or expensive equipment. This involves developing a new way to make it easier to create effective noise reduction devices called absorbents.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Low-frequency broadband sound absorber inverse design method based on GP-BM
  • Low-frequency broadband sound absorber inverse design method based on GP-BM
  • Low-frequency broadband sound absorber inverse design method based on GP-BM

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0028] The present invention proposes a GP-BM-based inverse design method for low-frequency broadband sound absorbers, such as figure 1 As shown, it specifically includes the following steps:

[0029] Step 1: Establish the acoustic structure model and characteristic parameters of the low-frequency broadband sound absorber to be optimized: establish the geometric model of the low-frequency broadband sound absorber acoustic structure in the finite element simulation software, and use k structural parameters as the m-dimensional characteristic parameters, where The values ​​of m and k are consistent, and the low-frequency broadband sound absorption spectrum is used as the acoustic target.

[0030] Inverse design structure of low-frequency broadband sound absorber based on GP-BM, including acoustic structure modeling module, data set building module, GP-BM train...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a low-frequency broadband sound absorber inverse design method based on GP-BM, and the method comprises the steps of firstly building a to-be-optimized sound absorber model, and determining the m-dimensional characteristic parameters of the to-be-optimized sound absorber model and a to-be-optimized acoustic performance target; randomly generating q groups of characteristic parameters, calculating the acoustic performance of the characteristic parameters by using a finite element method, and constructing an n * (m + 1)-dimensional initial data set; then predicting a next group of characteristic parameters by using a UCB function based on GP-BM; finally, judging whether the predicted characteristic parameters meet the acoustic target or not, if not, expanding the predicted characteristic parameters to a data set, and performing cyclic prediction; and if so, outputting the characteristic parameter. The invention does not depend on a theoretical model and a large sample data set of the sound absorber, and the optimal acoustic performance target is obtained by performing probability description on the prediction process; according to the invention, the acoustic target can be quickly optimized by means of the small sample data set, the characteristic parameters of the low-frequency broadband sound absorber are efficiently and inversely designed, and the method has important application value in the fields of noise control, architectural acoustics and the like.

Description

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Owner NANJING UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products