Full-band ship cabin noise prediction and acoustic optimization design method

An optimized design, full-band technology, applied in ship design, design optimization/simulation, measurement of ultrasonic/sonic/infrasonic waves, etc., can solve the problem of less research on full-band cabin noise forecasting methods and processes, and more research on cabin noise forecasting and other problems, to achieve the effect of improving computational efficiency, computational accuracy, and good applicability

Active Publication Date: 2019-04-16
CSSC POWER INST CO LTD
View PDF8 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] After summarizing the research status at home and abroad, it is found that there are still the following deficiencies in the noise prediction of ship cabins: ① There are more studies on cabin noise forecasting for high frequency bands, and less research on cabin noise forecasting methods and processes for full frequency bands
②Most scholars have conducted research on sound absorption and noise reduction in ship cabins, but few have conducted acoustic optimization design for cabin noise

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
  • Full-band ship cabin noise prediction and acoustic optimization design method
  • Full-band ship cabin noise prediction and acoustic optimization design method
  • Full-band ship cabin noise prediction and acoustic optimization design method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0069] This embodiment provides a method for cabin noise prediction and acoustic optimization design in the full frequency band of a ship, including the following steps:

[0070] Step S1, setting the frequency range of the ship cabin noise forecast to 1 / 3 octave 20-8000Hz;

[0071] Step S2. Propose the characteristic number used to characterize the degree of modal density per unit wavelength as the frequency interval division standard, calculate the characteristic number according to the geometric and physical properties of the hull structure and the acoustic cavity, and perform low, medium, and low analysis frequency bands based on the characteristic number. high-frequency division;

[0072] Step S3, according to the size of the characteristic number and the structural characteristics of the ship, respectively establish the low, medium and high frequency cabin noise prediction models of the ship;

[0073] Step S4, obtain main power equipment structural noise and air noise th...

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 full-band ship cabin noise prediction and acoustic optimization design method. The method comprises the steps that characteristic numbers are used as a frequency range dividing standard, according to geometric and physical properties of a ship structure and an acoustic cavity, the characteristic numbers are calculated, and based on the magnitude of the characteristic numbers, an analyzing frequency band is divided into low frequency, medium frequency and high frequency; according to the magnitude of the characteristic numbers and the characteristics of the ship structure, low-frequency, medium-frequency and high-frequency ship cabin noise prediction models are built; through real ship testing or an empirical formula, main power device structure noise and air noiseare obtained, and power device vibration acceleration is equivalent to exciting force; loss factors in the ship structure and the acoustic cavity are obtained through estimation; by using the finite element method, the finite element-statistical energy hybrid method and a statistical energy method, low-frequency, medium-frequency and high-frequency ship vibration and cabin noise of a ship are calculated; the medium-frequency noise and the high-frequency noise in the ship cabin are subjected to sound absorption and noise reducing research and acoustic optimization design. A full-band ship cabinnoise prediction process and a control scheme are provided, and the method can be used for various ships.

Description

technical field [0001] The invention relates to the technical field of ship cabin noise prediction, in particular to a full-frequency cabin noise prediction and acoustic optimization design method for a ship, which can realize full-frequency cabin noise prediction and control of the ship. Background technique [0002] The cabin noise caused by the vibration of ship mechanical equipment will seriously affect the comfort and physical and mental health of the crew and passengers. The classification societies of various countries and the International Maritime Organization have made stricter regulations on the noise of ship cabins and mechanical equipment. Preliminary cabin noise prediction and cabin noise reduction design research in the design stage are of great practical significance to improve ship construction quality and reduce ship construction cost. [0003] At present, researchers at home and abroad have done a lot of research on ship cabin noise prediction methods, but...

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
Patent Type & Authority Applications(China)
IPC IPC(8): B63B9/00G01H17/00G06F17/50G10K11/162
CPCB63B71/10G01H17/00G06F30/15G06F30/23G10K11/162
Inventor 张波董晶瑾吕秉琳
Owner CSSC POWER INST CO LTD
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