Development of a noise prediction software NASEFA and its application in medium-to-high frequency ranges |
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| Affiliation: | 1. Department of Naval Architecture and Ocean Engineering, Koje College, 91 Majeon 1-gil, Geoje-si, Gyeongsangnam-do 656-701, Republic of Korea;2. Department of Naval Architecture and Ocean Engineering, Seoul National University, San 56-1, Silim-dong, Kwanak-gu, Seoul 151-742, Republic of Korea;3. Department of Naval Architecture and Ocean Engineering, Chonnam National University, San 96-1, Dunduck-dong, Yeosu, Chonnam 550-749, Republic of Korea;1. CREEC/MIVEGEC, UMR IRD/CNRS/UM 5290, 911 Avenue Agropolis, BP 64501, 34394 Montpellier Cedex 5, France;2. Univ Lyon, Université Lyon 1, CNRS, Laboratoire de Biométrie et Biologie Evolutive UMR5558, F-69622 Villeurbanne, France;3. Institute of Ecology and Environmental Sciences - Paris, Sorbonne Université-CNRS-IRD-INRA-P7-UPEC, 4 place Jussieu, 75005 Paris, France;4. Centre de Recherche de la Tour du Valat, le Sambuc, 13200 Arles, France;5. Arizona State University, School of Life Sciences, Tempe, AZ 85287-4501, USA;6. Centre for Ecology and Conservation, College of Life and Environmental Sciences, University of Exeter, Penryn, UK;7. RHEM, IRCM, Institute of Cancer Research Montpellier, INSERM, Montpellier, France;8. ICM Regional Cancer Institute of Montpellier, Montpellier, France;9. Centre for Integrative Ecology, School of Life and Environmental Sciences, Deakin University, Waurn Ponds, VIC 3216, Australia;10. Centre for Behavioural and Physiological Ecology, Zoology, School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia;11. School of Biological Sciences, University of Tasmania, Private Bag 55, Hobart, TAS 7001, Australia;1. Institute of Structural Analysis of Plates and Shells, University of Duisburg-Essen, 45141 Essen, Germany;2. School of Civil and Environmental Engineering, University of New South Wales, Sydney, NSW 2052, Australia;1. National Key Laboratory of Science and Technology on Helicopter Transmission, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, PR China;2. College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150001, PR China;3. State Key Laboratory of High Performance Complex Manufacturing, Central South University, Changsha 410083, PR China;1. Université de Toulouse, INSA-Toulouse, IMT UMR CNRS 5219, 135 avenue de Rangueil, F-31077 Toulouse Cedex 04, France;2. Université de Toulouse, INSA/UPS/ISAE/Mines Albi, ICA UMR CNRS 5312, 3 rue Caroline Aigle, 31400 Toulouse, France |
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| Abstract: | For the analysis of noise problems in medium-to-high frequency ranges, the energy flow boundary element method (EFBEM) has been studied. EFBEM is numerical analysis method of energy flow analysis (EFA), and solves energy governing equations using a boundary element method in complex structures. Based on EFBEM, a noise prediction software, “noise analysis system by energy flow analysis” (NASEFA), was developed. For effective maintenance, NASEFA is composed of three main modules: the translator, the model converter, and the main solver. The translator changes the FE model to the NASEFA BE model, and the model converter changes the BE model to an EFBE model, including various data, such as structural materials, medium properties, sources, and boundary conditions. NASEFA then solves the acoustic energy density and intensity on boundary and in the field. Moreover, it analyzes interior and exterior noise problems for single and multiple domains in two and three dimensions. Finally, for the validation of the software developed, interior and exterior noise predictions of various structures were performed. The results obtained with NASEFA were compared with those of the commercial SEA program and experiment. From these comparative studies, the usefulness of NASEFA was established. |
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| Keywords: | Energy flow analysis Energy flow boundary element method Noise analysis Medium-to-high frequency Interior noise problems Exterior noise problems |
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