Daniel, Johanna M. und Schuster, Max G. und Andresen-Paulsen, Gyde und Holz, Florian und Wittekind, Kurt und Ehlers, Sören (2022) An Advanced Prediction Model for Underwater Noise Emissions of Ships. Journal of Ship Production and Design, Seiten 1-19. Society of Naval Architects and Marine Engineers. doi: 10.5957/JSPD.06210017. ISSN 2158-2866.
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Kurzfassung
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.
elib-URL des Eintrags: | https://elib.dlr.de/188685/ | ||||||||||||||||||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||||||||||||||
Titel: | An Advanced Prediction Model for Underwater Noise Emissions of Ships | ||||||||||||||||||||||||||||
Autoren: |
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Datum: | 29 September 2022 | ||||||||||||||||||||||||||||
Erschienen in: | Journal of Ship Production and Design | ||||||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||||||
Open Access: | Nein | ||||||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||||||||||||||
DOI: | 10.5957/JSPD.06210017 | ||||||||||||||||||||||||||||
Seitenbereich: | Seiten 1-19 | ||||||||||||||||||||||||||||
Verlag: | Society of Naval Architects and Marine Engineers | ||||||||||||||||||||||||||||
ISSN: | 2158-2866 | ||||||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||||||
Stichwörter: | noise, engine, freight & logistics services, marine transportation, machine learning, artificial intelligence, frequency, underwater noise, ship production and design | ||||||||||||||||||||||||||||
HGF - Forschungsbereich: | Energie | ||||||||||||||||||||||||||||
HGF - Programm: | keine Zuordnung | ||||||||||||||||||||||||||||
HGF - Programmthema: | E - keine Zuordnung | ||||||||||||||||||||||||||||
DLR - Schwerpunkt: | Energie | ||||||||||||||||||||||||||||
DLR - Forschungsgebiet: | E - keine Zuordnung | ||||||||||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | E - keine Zuordnung | ||||||||||||||||||||||||||||
Standort: | Geesthacht | ||||||||||||||||||||||||||||
Institute & Einrichtungen: | Institut für Maritime Energiesysteme | ||||||||||||||||||||||||||||
Hinterlegt von: | Ortner, Dr.rer.nat. Jürgen | ||||||||||||||||||||||||||||
Hinterlegt am: | 25 Nov 2022 08:12 | ||||||||||||||||||||||||||||
Letzte Änderung: | 25 Nov 2022 08:12 |
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