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  4. Scaling laws for mitigated pile driving: dependence of underwater noise on strike energy, pile diameter, ram weight, water depth, and mitigation system
 
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Scaling laws for mitigated pile driving: dependence of underwater noise on strike energy, pile diameter, ram weight, water depth, and mitigation system

Citation Link: https://doi.org/10.15480/882.13349
Publikationstyp
Journal Article
Date Issued
2024-09-01
Sprache
English
Author(s)
Pein, Jonas von 
Modellierung und Berechnung M-16  
Lippert, Tristan  
Modellierung und Berechnung M-16  
Lippert, Stephan  
Modellierung und Berechnung M-16  
Estorff, Otto von  
Modellierung und Berechnung M-16  
TORE-DOI
10.15480/882.13349
TORE-URI
https://hdl.handle.net/11420/49337
Journal
The journal of the Acoustical Society of America  
Volume
156
Issue
3
Start Page
2045
End Page
2059
Citation
The Journal of the Acoustical Society of America 156 (3): 2045-2059 (2024)
Publisher DOI
10.1121/10.0030302
Scopus ID
2-s2.0-85204941672
Publisher
American Institut of Physics
Sound induced by impact pile driving is a possible risk to marine life. Therefore, it is common practice to use noise mitigation systems during piling to reduce the respective impact and to fulfill the prescribed noise limits. Scaling laws for the estimation of the underwater noise from unmitigated impact pile driving have been presented in von Pein, Lippert, Lippert, and von Estorff, "Scaling laws for unmitigated pile driving: Dependence of underwater noise on strike energy, pile diameter, ram weight, and water depth," Appl. Acoust. 198, 108986 (2022). This contribution shows how these scaling laws need to be changed if noise mitigation systems are considered. Scaling laws are developed for four different kinds of noise mitigation system setups. These include big bubble curtains, double big bubble curtain combinations, a fully absorbing system directly at the pile, and the combination of a system close to the pile and a double big bubble curtain. The derived scaling laws are verified and compared to publicly available measurement data.
DDC Class
004: Computer Sciences
Lizenz
https://creativecommons.org/licenses/by/4.0/
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