Analysis of structure-borne noise in ship cabins using a floating floor with an inserted viscoelastic layer

Song, Jee-Hun; Hong, Suk‐Yoon; Joo, Won-Ho

doi:10.1007/s00773-008-0039-9

Cited by 7 publications

(5 citation statements)

References 8 publications

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“…Zhou and Croker [17], Cha and Chun [18] and Song et al [19] studied performance of acoustic insulation components to determine the loss on values of sound transmission. According to Anon [20] [10] passive mountings are the one of the approaches to cut off conduction of vibration occurs from machineries.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Zhou and Croker [17], Cha and Chun [18] and Song et al [19] studied performance of acoustic insulation components to determine the loss on values of sound transmission. According to Anon [20] designers generally decide to use absorption (fibrous or cellular such as mineral wool, fiberglass, ceramic, melamine, polyamide and urethane), barrier (existing structures such as walls, cabinets, enclosures and etc.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Yat İçmekani İçi̇n Gürültü Ve Ti̇treşi̇m Sönümlemesi̇

Aydın¹,

Aydın²,

Güntekin³

2016

Mugla Journal of Science and Technology

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Section: Literature Reviewmentioning

confidence: 99%

“…Zhou and Croker [17], Cha and Chun [18] and Song et al [19] studied performance of acoustic insulation components to determine the loss on values of sound transmission. According to Anon [20] designers generally decide to use absorption (fibrous or cellular such as mineral wool, fiberglass, ceramic, melamine, polyamide and urethane), barrier (existing structures such as walls, cabinets, enclosures and etc.…”

Section: Literature Reviewmentioning

confidence: 99%

Yat İçmekani İçi̇n Gürültü Ve Ti̇treşi̇m Sönümlemesi̇

Aydın¹,

Aydın²,

Güntekin³

2016

Mugla Journal of Science and Technology

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show abstract

“…Numerical analysis methods are more popular at present. It includes statistical energy analysis (SEA) [ 2 – 4 ], finite element analysis (FEA) [ 5 , 6 ], the combination of SEA and FEA [ 7 – 10 ], and other methods [ 11 , 12 ]. The numerical methods significantly promotes the development of the research on vibration and noise in ships.…”

Section: Introductionmentioning

confidence: 99%

Machine learning based method for analyzing vibration and noise in large cruise ships

Wu,

He,

Hao

et al. 2024

PLoS ONE

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Cruise ships are distinguished as special passenger ships, transporting passengers to various ports and giving importance to comfort. High comfort can attract lots of passengers and generate substantial profits. Vibration and noise are the most important indicators for assessing the comfort of cruise ships. Existing methods for analyzing vibration and noise data have shown limitations in uncovering essential information and discerning critical disparities in vibration and noise levels across different ship districts. Conversely, the rapid development in machine learning present an opportunity to leverage sophisticated algorithms for a more insightful examination of vibration and noise aboard cruise ships. This study designed a machine learning-driven approach to analyze the vibration and noise data. Drawing data from China’s first large-scale cruise ship, encompassing 127 noise samples, this study sets up a classification task, where decks were assigned as labels and frequencies served as features. Essential information was extracted by investigating this problem. Several machine learning algorithms, including feature ranking, selection, and classification algorithms, were adopted in this method. One or two essential noise frequencies related to each of the decks, except the 10th deck, were obtained, which were partly validated by the traditional statistical methods. Such findings were helpful in reducing and controlling the vibration and noise in cruise ships. Furthermore, the study develops a classifier to distinguish noise samples, which utilizes random forest as the classification algorithm with eight optimal frequency features identified by LightGBM. This classifier yielded a Matthews correlation coefficient of 0.3415. This study gives a new direction for investigating vibration and noise in ships.

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“…The key to solving the noise prediction problem of the ship cabin is to consider the impact of different fireproof deck on the vibration and acoustic performance of cabin [4][5][6]. Song [7] numerically computed the floating floor structure with viscoelastic damping layer, predicted its structural noise, studied the impact of rock wool's thickness, density and laying direction on the structural noise of floating floor inserting into the viscoelastic damping layer, and established a real model for test and verification. Chai [8] studied the impact of floating floor on the vibration reduction performance of ship cabin, proposed two theoretical models including mass-spring model and volatility model to compute the insertion loss of floating floor, and verified the proposed models through experiments.…”

Section: Introductionmentioning

confidence: 99%

Numerical analysis and optimization of noises of ship cabins in the low frequency

Xu¹,

Huang²,

Zhu³

et al. 2017

J. vibroeng.

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Ship cabins are places for the crew to be on duty and have a rest. The convention sets a high limitation for noises of ship cabins. This paper combined finite element method with boundary element method to study and improve the noise of ship cabins. Firstly, this paper established the finite element model of a ship cabin, computed structural response, took the structural response as boundary condition and input it into acoustic software to couple with boundary element model, realize the computation of vibro-acoustic coupling and obtain sound pressure response. Then, the numerically computational sound pressure was compared with experimental results, and a good consistency was presented. It showed that the vibro-acoustic coupling model of the ship cabin in this paper was effective. In addition, this paper also computed the noise contribution of cabin panels to observation points and obtained panels which had a serious contribution to cabin noises. Finally, this paper applied laminated plate structure to these panels and recomputed cabin noises to compare with the original structure. Results showed that peak noises of field points were obviously improved, which ensured that the noise level of ship cabins satisfied the corresponding requirements of the convention.

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Analysis of structure-borne noise in ship cabins using a floating floor with an inserted viscoelastic layer

Cited by 7 publications

References 8 publications

Yat İçmekani İçi̇n Gürültü Ve Ti̇treşi̇m Sönümlemesi̇

Yat İçmekani İçi̇n Gürültü Ve Ti̇treşi̇m Sönümlemesi̇

Machine learning based method for analyzing vibration and noise in large cruise ships

Numerical analysis and optimization of noises of ship cabins in the low frequency

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