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An Advanced Prediction Model for Underwater Noise Emissions of Ships

Daniel, Johanna M. and Schuster, Max G. and Andresen-Paulsen, Gyde and Holz, Florian and Wittekind, Kurt and Ehlers, Sören (2022) An Advanced Prediction Model for Underwater Noise Emissions of Ships. Journal of Ship Production and Design, pp. 1-19. Society of Naval Architects and Marine Engineers. doi: 10.5957/JSPD.06210017. ISSN 2158-2866.

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Official URL: https://onepetro.org/JSPD/article-abstract/doi/10.5957/JSPD.06210017/509645/An-Advanced-Prediction-Model-for-Underwater-Noise?redirectedFrom=fulltext

Abstract

The aim of this paper is to investigate the relationship between design and operational ship parameters with respect to radiated underwater noise and to develop a semiempirical noise prediction model that includes the dominant noise contributors present on merchant vessels. The model is based on Dietrich Wittekind’s prediction model and on underwater noise measurements with related Automatic Identification System (AIS) data. Additionally, the noise contribution of a two-stroke engine is investigated using structure-borne noise measurements and Finite Element Methods (FEM). The updated model can be used to assess the expected underwater noise emissions induced by ship traffic in a specific sea area based on AIS data and as a basis to produce noise maps. In conclusion, the prediction model will work as a useful tool to help understanding the noise contributors, their sensitivity on ships speed, and their impact in a defined environment.

Item URL in elib:https://elib.dlr.de/188685/
Document Type:Article
Title:An Advanced Prediction Model for Underwater Noise Emissions of Ships
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Daniel, Johanna M.DW-Ship ConsultUNSPECIFIEDUNSPECIFIED
Schuster, Max G.DW-Ship ConsultUNSPECIFIEDUNSPECIFIED
Andresen-Paulsen, GydeHamburg University of TechnologyUNSPECIFIEDUNSPECIFIED
Holz, FlorianDW-Ship ConsultUNSPECIFIEDUNSPECIFIED
Wittekind, KurtDW-Ship ConsultUNSPECIFIEDUNSPECIFIED
Ehlers, SörenUNSPECIFIEDhttps://orcid.org/0000-0001-5698-9354UNSPECIFIED
Date:29 September 2022
Journal or Publication Title:Journal of Ship Production and Design
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI:10.5957/JSPD.06210017
Page Range:pp. 1-19
Publisher:Society of Naval Architects and Marine Engineers
ISSN:2158-2866
Status:Published
Keywords:noise, engine, freight & logistics services, marine transportation, machine learning, artificial intelligence, frequency, underwater noise, ship production and design
HGF - Research field:Energy
HGF - Program:other
HGF - Program Themes:E - no assignment
DLR - Research area:Energy
DLR - Program:E - no assignment
DLR - Research theme (Project):E - no assignment
Location: Geesthacht
Institutes and Institutions:Institute of Maritime Energy Systems
Deposited By: Ortner, Dr.rer.nat. Jürgen
Deposited On:25 Nov 2022 08:12
Last Modified:25 Nov 2022 08:12

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