Font Size: a A A

Study On Prediction And Protection Of Cabin Noise Of Offshore Platform

Posted on:2023-01-16Degree:MasterType:Thesis
Country:ChinaCandidate:D W ZhangFull Text:PDF
GTID:2532306905486304Subject:Ships and Marine engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of industry,the demand for oil and gas resources is increasingly strong.As large-scale equipment for offshore oil exploitation,offshore platform provides an important guarantee for the development of offshore oil and gas resources.At the same time,with the large-scale and complex of offshore platforms and supporting equipment,as well as the continuous improvement of people’s understanding of comfort requirements and green environmental protection,the vibration and noise of offshore platforms has attracted increasing attention.In recent years,in order to reduce the overall cost of offshore platforms and improve the efficiency of oilfield development,many design and construction units start to study the lightweight design of offshore platforms.However,with the development of lightweight design,the risk of excessive noise in platform cabin is also increasing.Therefore,this paper carries out noise prediction and control research for a lightweight offshore platform,and the main research work is as follows:Firstly,the present situation of noise prediction and protection for offshore platforms at home and abroad is summarized.Based on previous studies,the general idea of noise prediction for offshore platforms by statistical energy method combined with boundary element method is determined.Starting from the cause of cabin noise of offshore platform,the main source and transmission path of cabin noise are analyzed,and the prediction flow of statistical energy method and boundary element method are formed,and the validity is verified in turn.Secondly,the simplification principle and modeling process of platform noise prediction model are summarized,and the statistical energy model of a lightweight offshore platform is established.Based on the transfer matrix method,the acoustic performance of outfitting materials is calculated,and the effectiveness of the acoustic performance calculation method is verified by comparing with the acoustic performance test results.The loss factor test based on transient attenuation method is carried out,and the typical structure loss factor is obtained,which provides a reference for the precision of input parameters of platform cabin noise prediction model.Thirdly,the load analysis methods of offshore platform equipment are summarized,and the typical load characteristic curves of equipment are obtained through the combination of specification and platform measurement.The calculation method of platform air duct excitation load is formed,and the characteristics of platform living building air duct excitation are analyzed.On the basis of load analysis,considering the influence of equipment excitation load and air duct excitation load,the cabin noise prediction was carried out for the platform,and the noise distribution characteristics of the platform as a whole and living building were analyzed.In addition,separate modeling is carried out for cabins with many internal equipment,and refined noise prediction is carried out for key equipment cabins.Finally,on the basis of the above research,the cabin noise control of the offshore platform is studied.Based on the analysis of the dominant component and transmission path of the cabin noise,the main noise sources and noise types leading to the exceeding of the cabin noise are determined,and the corresponding acoustic optimization measures are proposed.For equipment rooms with high noise sources,a parametric study on the protective performance of acoustic barriers was carried out based on the boundary element method to explore the impact of acoustic barriers size,number and distance on the noise of equipment cabin,aiming to provide reference for noise control and acoustic barrier layout of equipment cabin.
Keywords/Search Tags:Offshore platform, Lightweight, Cabin noise, Noise prediction, The noise protection
PDF Full Text Request
Related items