An interval statistical energy method for high-frequency analysis of uncertain structural–acoustic coupling systems
Authors:
- 1 December 2019
- journal article
- research article
- Published by Taylor & Francis in Engineering Optimization
- Vol. 52 (12) , 2100-2124
Abstract
An interval statistical energy method is proposed to calculate the variation range of high-frequency vibration energy for acoustic–vibration coupling systems with uncertain material parameters. Instead of using statistical energy analysis parameters as the uncertainty variables, material physical parameters, with a clearer physical meaning, are used; this is convenient for determining the perturbation interval and avoiding mutual coupling among the uncertain parameters. In this novel method, the derivative matrix of the loss factor matrix with respect to material parameters is derived, and the sensitivity during the uncertain transfer process is obtained analytically. This approach is more accurate than previous numerical methods. Using this interval statistical energy method, numerical examples are calculated and compared with results obtained using the Monte Carlo method, which shows that this method can effectively and accurately calculate the variation range of the system vibration energy under the condition of material uncertainty for structural–acoustic coupling systems.Keywords
Funding Information
- National Natural Science Foundation of China (No. 51705185)
This publication has 28 references indexed in Scilit:
- Vibroacoustic optimization using a statistical energy analysis modelJournal of Sound and Vibration, 2016
- A new fuzzy model for determining risk level on the workplaces in manufacturing small and medium enterprisesProceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 2015
- Ranking paths in statistical energy analysis models with non-deterministic loss factorsMechanical Systems and Signal Processing, 2015
- A comparative study of methodologies for vibro-acoustic FE model updating of cavities using simulated dataInternational Journal of Mechanics and Materials in Design, 2010
- Path sensitivity and uncertainty propagation in SEAJournal of Sound and Vibration, 2006
- A note on the subdivision of a volume of air in a vehicle enclosure into sea subsystemsJournal of Sound and Vibration, 2004
- An Application of the Probability Density Function Model to Diesel Engine CombustionCombustion Science and Technology, 1999
- Combination of probabilistic and convex models of uncertainty when scarce knowledge is present on acoustic excitation parametersComputer Methods in Applied Mechanics and Engineering, 1993
- Predicting acoustic noise environments on Space Station Freedom using statistical energy analysis.The Journal of the Acoustical Society of America, 1991
- Sound transmission using statistical energy analysisJournal of Sound and Vibration, 1969