@article {Liu:2025:0736-2501:117,
title = "Study on a key transfer edge control method for cabin noise control",
journal = "Noise Control Engineering Journal",
parent_itemid = "infobike://ince/ncej",
publishercode ="ince",
year = "2025",
volume = "73",
number = "1",
publication date ="2025-03-01T00:00:00",
pages = "117-130",
itemtype = "ARTICLE",
issn = "0736-2501",
url = "https://ince.publisher.ingentaconnect.com/content/ince/ncej/2025/00000073/00000001/art00010",
doi = "doi:10.3397/1/37739",
keyword = "54.1, 75.2",
author = "Liu, Zhenzhen and Wu, Siyuan and Ma, Ruisheng and Rong, Kunjie and Li, Na",
abstract = "To protect passengers from harmful noise pollution, noise control is of great importance in practice. In this study, a key transfer edge control method is proposed for effectively reducing the noise level of cruise cabins. In particular, a 3-dimension (3D) model of X-BOW type polar
adventure cruise is created by the statistical energy analysis (SEA) method, and its accuracy is validated by comparing against the experimental results. According to the noise distribution of ship, a representative cabin room (P434) is chosen as the control object, and used as the tail node
to analyze the contribution rate of each excitation source to the room, in which the contribution rate of the main engine exhaust noise reaches 85.1%, and the No. 2 engine cabin is selected as the head node of the path, and 1000 Hz is used as the analysis frequency. The SEA weighted graph
is constructed using the loss factor matrix between adjacent subsystems at 1000 Hz, and the most major transfer paths from the excitation point to the control point are identified based on Dijkstras method. Combined with the deviated path algorithm, the first 300 major paths are identified,
among which the first 50 transfer paths contribute the major energy, while the first 50 transfer paths belong to the acyclic path. The first 50 transfer paths are selected as the research object, and the key transfer edge control theory for finding acyclic paths is proposed. Based on this
theory, the first five key transfer edges are searched and controlled, and the results show that the sound pressure level in room P434 decreases by 12.25% (9.2 dB).",
}