Determination of effective loss factors in reduced SEA models

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• 作者：M. Chimeno Manguá ; n^a ; ^{marcos.chimeno@upm.es" class="auth_mail" title="E-mail the corresponding author} ; M.J. Ferná ; ndez de las Heras^b ; E. Roibá ; s Millá ; n^c ; F. Simó ; n Hidalgo^b
• 关键词：Statistical Energy Analysis ; Loss factors ; Experimental SEA ; Reduced models
• 刊名：Journal of Sound and Vibration
• 出版年：2017
• 出版时间：6 January 2017
• 年：2017
• 卷：386
• 期：Complete
• 页码：311-326
• 全文大小：2497 K

文摘

The definition of Statistical Energy Analysis (SEA) models for large complex structures is highly conditioned by the classification of the structure elements into a set of coupled subsystems and the subsequent determination of the loss factors representing both the internal damping and the coupling between subsystems. The accurate definition of the complete system can lead to excessively large models as the size and complexity increases. This fact can also rise practical issues for the experimental determination of the loss factors. This work presents a formulation of reduced SEA models for incomplete systems defined by a set of effective loss factors. This reduced SEA model provides a feasible number of subsystems for the application of the Power Injection Method (PIM). For structures of high complexity, their components accessibility can be restricted, for instance internal equipments or panels. For these cases the use of PIM to carry out an experimental SEA analysis is not possible. New methods are presented for this case in combination with the reduced SEA models. These methods allow defining some of the model loss factors that could not be obtained through PIM. The methods are validated with a numerical analysis case and they are also applied to an actual spacecraft structure with accessibility restrictions: a solar wing in folded configuration.