Academic Journal

Multi-objective optimization study on the radiated noise of thin-walled structures in marine diesel engines.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Multi-objective optimization study on the radiated noise of thin-walled structures in marine diesel engines.
Συγγραφείς: Dai, Zheng, Du, Jingtao, Liu, Yang
Πηγή: International Journal of Engine Research (Sage Publications, Ltd.); Mar2026, Vol. 27 Issue 3, p375-389, 15p
Περίληψη: Marine diesel engines are the primary source of vibration and noise in ship cabins. As they develop toward higher loads and power densities, these issues can be even worse. Thin-walled structures in the engines further exacerbate the problem. However, experimental methods for vibration and noise optimization are impractical due to the engine's large size, while simulation-based approaches require extensive computational resources. Thus, developing efficient and intelligent optimization strategies for marine diesel engines' vibro-acoustic performance remains a challenge. This paper addresses the vibration and noise problem of thin-walled structures in marine diesel engines by proposing an intelligent optimization method that combines the Modal Acoustic Transfer Vector (MATV) and Multi-Objective Genetic Algorithm (MOGA). First, the Modal Acoustic Transfer Vector (MATV) can be obtained via the combination of the Modal Participation Factor (MPF) and Acoustic Transfer Vector (ATV). MATV helps identify key modal orders affecting radiated noise. Then, an optimization scheme combining anisotropic plate theory and a Multi-Objective Genetic Algorithm (MOGA) is proposed. The results show that after optimization, the acoustic contribution of the key modes is reduced by 10% while the overall average Sound Pressure Level (SPL) decreases by 12%. At the same time, the vibration intensity is reduced by 10%. These findings validate the effectiveness of the proposed method in low-vibration and low-noise design. This methodology not only offers a novel approach for the intelligent low-vibration and low-noise design of marine diesel engines but can also be extended to the low-vibration and low-noise design processes of other types of main engines and power plants. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Engine Research (Sage Publications, Ltd.) is the property of Sage Publications, Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Multi-objective optimization study on the radiated noise of thin-walled structures in marine diesel engines.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Dai%2C+Zheng%22">Dai, Zheng</searchLink><br /><searchLink fieldCode="AR" term="%22Du%2C+Jingtao%22">Du, Jingtao</searchLink><br /><searchLink fieldCode="AR" term="%22Liu%2C+Yang%22">Liu, Yang</searchLink>
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  Label: Source
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  Data: International Journal of Engine Research (Sage Publications, Ltd.); Mar2026, Vol. 27 Issue 3, p375-389, 15p
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Marine diesel engines are the primary source of vibration and noise in ship cabins. As they develop toward higher loads and power densities, these issues can be even worse. Thin-walled structures in the engines further exacerbate the problem. However, experimental methods for vibration and noise optimization are impractical due to the engine's large size, while simulation-based approaches require extensive computational resources. Thus, developing efficient and intelligent optimization strategies for marine diesel engines' vibro-acoustic performance remains a challenge. This paper addresses the vibration and noise problem of thin-walled structures in marine diesel engines by proposing an intelligent optimization method that combines the Modal Acoustic Transfer Vector (MATV) and Multi-Objective Genetic Algorithm (MOGA). First, the Modal Acoustic Transfer Vector (MATV) can be obtained via the combination of the Modal Participation Factor (MPF) and Acoustic Transfer Vector (ATV). MATV helps identify key modal orders affecting radiated noise. Then, an optimization scheme combining anisotropic plate theory and a Multi-Objective Genetic Algorithm (MOGA) is proposed. The results show that after optimization, the acoustic contribution of the key modes is reduced by 10% while the overall average Sound Pressure Level (SPL) decreases by 12%. At the same time, the vibration intensity is reduced by 10%. These findings validate the effectiveness of the proposed method in low-vibration and low-noise design. This methodology not only offers a novel approach for the intelligent low-vibration and low-noise design of marine diesel engines but can also be extended to the low-vibration and low-noise design processes of other types of main engines and power plants. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Engine Research (Sage Publications, Ltd.) is the property of Sage Publications, Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.1177/14680874251371799
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        Text: English
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      – TitleFull: Multi-objective optimization study on the radiated noise of thin-walled structures in marine diesel engines.
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            NameFull: Dai, Zheng
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            NameFull: Du, Jingtao
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              M: 03
              Text: Mar2026
              Type: published
              Y: 2026
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