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2014•The Proceedings of Conference of Kanto BranchOpen access

20903 Impulsive Energy Response Analysis using SEA and ED

Shohei CHIDA, Toru YAMAZAKI

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Abstract

Statistical Energy Analysis (SEA) and Energy Distribution Analysis (EDA) are suitable tools to predict sound and vibration stationary responses. Especially, EDA can be analyze noise and vibration analysis in all frequency band. This paper discusses the application results of Transient Statistical Energy Analysis (TSEA) and Transient Energy Distribution Analysis (TEDA), which are extension of SEA and EDA for impulsive energy response analysis. The results of TSEA and TEDA are compared especially in low frequency band by using a test structure composed of two flat steel panels. As a result, it has confirmed that these methods can make precious analysis in low frequency band.

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What this paper is about

Statistical Energy Analysis (SEA) and Energy Distribution Analysis (EDA) are suitable tools to predict sound and vibration stationary responses. Especially, EDA can be analyze noise and vibration analysis in all frequency band. This paper discusses the application results of Transient Statistical Energy Analysis (TSEA) and Transient Energy Distribution Analysis (TEDA), which are extension of SEA and EDA for impulsive energy response analysis. The results of TSEA and TEDA are compared especially in low frequency band by using a test structure composed of two flat steel panels. As a result, it has confirmed that these methods can make precious analysis in low frequency band.

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Available abstract

Statistical Energy Analysis (SEA) and Energy Distribution Analysis (EDA) are suitable tools to predict sound and vibration stationary responses. Especially, EDA can be analyze noise and vibration analysis in all frequency band. This paper discusses the application results of Transient Statistical Energy Analysis (TSEA) and Transient Energy Distribution Analysis (TEDA), which are extension of SEA and EDA for impulsive energy response analysis. The results of TSEA and TEDA are compared especially in low frequency band by using a test structure composed of two flat steel panels. As a result, it has confirmed that these methods can make precious analysis in low frequency band.

Key concepts: Statistical energy analysis, Energy analysis, Energy (signal processing), Vibration, Frequency band, Frequency analysis, Response analysis, Statistical analysis

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