Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Virtual excitation source reconstruction-based noise prediction method

A virtual excitation and noise technology, applied in ship construction, ships, instruments, etc., can solve the problems of limited forecasting methods, accurate modeling, low forecasting accuracy and efficiency, and limited number of measuring points, so as to achieve fast and efficient forecasting and improve forecasting. The effect of improving efficiency and forecasting accuracy

Active Publication Date: 2019-08-09
NORTHWESTERN POLYTECHNICAL UNIV
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the technical problems that the existing forecasting methods are limited by precise modeling, accurate acquisition of excitation sources, limited number of measuring points, etc., and low forecasting accuracy and efficiency.

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
  • Virtual excitation source reconstruction-based noise prediction method
  • Virtual excitation source reconstruction-based noise prediction method
  • Virtual excitation source reconstruction-based noise prediction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] Embodiments of the present invention are described in detail below, and the embodiments are exemplary and intended to explain the present invention, but should not be construed as limiting the present invention.

[0037] In this embodiment, an excitation device is used as an example to excite the cabin section of the double-layer cylindrical shell, figure 2 A schematic diagram of the structure used in the experimental tests is given in . During the test, the bottom of the pressure hull is excited by the vibration excitation equipment, and the double-layer cylindrical shell cabin is completely immersed in water. At the same time, several acceleration sensors are arranged inside the pressure hull to complete the vibration response of the double-layer cylindrical shell cabin. Extraction provides the required vibration response energy data for the noise prediction of the statistical energy analysis model. The flow chart of the method of this embodiment is as follows figu...

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 provides a virtual excitation source reconstruction-based noise prediction method. The method comprises steps: a statistical energy analysis model is constructed and a subsystem is divided; a to-be-tested structure is subjected to vibration response test; an energy transfer function is constructed; the energy transfer function and cabin vibration test data are used to construct an objective function of the virtual excitation source, virtual excitation source reconstruction is developed, the virtual excitation source energy is used to replace the original input energy, and noiseprediction is completed. Highly dependence on accurate modeling of the structure is reduced, the prediction efficiency is greatly improved, the practical engineering problem that the excitation sourceis difficult to accurately obtain is solved, the engineering applicability of the method is ensured, the prediction precision is improved obviously in comparison with the traditional statistical energy prediction method, the existing statistical energy prediction method is optimized, quick and efficient prediction is realized, and highly operability is achieved.

Description

technical field [0001] The invention relates to the technical field of noise prediction, in particular to a noise prediction method based on virtual excitation source reconstruction. Background technique [0002] Mechanical noise source is one of the main noise sources of underwater equipment systems such as ships and aircrafts, which directly affects the practicability and reliability of underwater equipment systems. For this reason, both at home and abroad attach great importance to the research and development of vibration and noise reduction technology for underwater equipment systems. Noise prediction technology is the theoretical basis and important basis for quantitative acoustic design, vibration and noise reduction design, etc. Accurate noise prediction can provide clear control directions and precise quantitative indicators for the research and development of various vibration and noise reduction technologies. Therefore, it is extremely necessary to carry out rese...

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
IPC IPC(8): G01M7/00G06F17/50B63B9/00
CPCG01M7/00B63B71/00G06F30/20
Inventor 盛美萍王帅王敏庆雷雨
Owner NORTHWESTERN POLYTECHNICAL 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
Eureka Blog
Learn More
PatSnap group products