๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

An introduction to statistical energy analysis of structural vibration

โœ Scribed by J. Woodhouse


Publisher
Elsevier Science
Year
1981
Tongue
English
Weight
773 KB
Volume
14
Category
Article
ISSN
0003-682X

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๐Ÿ“œ SIMILAR VOLUMES


THE PREDICTION OF STRUCTURAL VIBRATION T
โœ J.A. Steel ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 420 KB

The application of Statistical Energy Analysis techniques to work on vehicle noise and vibration is increasing. SEA is now used as a design tool for many commercial vehicles. In this work structural vibration transmission in the body of a motor car is studied. There is very little published work eit

STATISTICAL ENERGY ANALYSIS OF PERIODICA
โœ R.S. Langley; J.R.D. Smith; F.J. Fahy ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 348 KB

Stiffened panels are used widely in aerospace and marine vehicles, and it is often necessary to predict high frequency noise and vibration levels in structures of this type. The present work is concerned with modelling high frequency vibration transmission through a stiffened panel within the contex

Energy flow modelling of interconnected
โœ Yasuo Kishimoto; Dennis S. Bernstein; Steven R. Hall ๐Ÿ“‚ Article ๐Ÿ“… 1995 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 823 KB

Energy flow models are derived for interconnected structures in tems of both modal and structural subsystems. The principal goal of this analysis is to develop a deterministic foundation for energy flow analysis that clarifies assumptions under which statistical energy analysis (SEA) predictions are

INVESTIGATION OF DAMPING EFFECTS ON STAT
โœ F.F. Yap; J. Woodhouse ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 257 KB

The effects of damping on energy sharing in coupled systems are investigated. The approach taken is to compute the forced response patterns of various idealised systems, and from these to calculate the parameters of Statistical Energy Analysis model for the systems using the matrix inversion approac