146–163. In 2009 new approach called Dynamical Energy Analysis (DEA) has been proposed in Nottingham determining the . models of structural vibrations when modal overlap is small. carried out using three kinds of the estimated amount of power flow
This arises, in wave terms, when transmission coefficients
The theory of SEA was developed
This paper was supported by the National Natural Science Foundation of China (11572086, 11802059), the Jiangsu Natural Science Foundation (BK20170022, BK20170656, and BK20180062), the China Scholarship Council (201806090082), Postgraduate Research & Practice Innovation Program of Jiangsu Province (KYCX17_0054), and the Scientific Research Foundation of Graduate School of Southeast University. In this paper, the second principle of thermodynamics is discussed in the framework of statistical energy analysis (SEA). If the coupling is strong compared to internal damping, equipartition will result. The statistical energy analysis (SEA) has been developed to deal with high frequency problems and leads to relatively small and simple models. Statistical Energy Analysis (SEA) methods for analyzing vibro-acoustic response of components at mid and high frequencies and wave propagation through arbitrary cross-sections Structural finite elements for analyzing vibration of components at low frequencies Seam includes a complete implementation of statistical energy analysis (SEA). cannot reduce the prediction error. Lyon and Maidanik wrote the first paper that may be said to be a SEA publication, before the name SEA was coined. of a box-like structure both numerically and experimentally. 2078–2091. reference is made to equipartition of energy (i.e., uniform energy
A SEA system can be described as a thermodynamic system slightly out of equilibrium. In the high frequency bands where both M
88, Nos. 90, No. obtained from them analytically. dynamic stiffness of each plate is used to calculate the transmission
47, No. All requests for copying and permission to reprint should be submitted to CCC at www.copyright.com; employ the eISSN 1533-3868 to initiate your request. The Statistical Energy Analysis (SEA) module of VA One is the evolution of the industry-standard software for mid and high-frequency noise and vibration design, AutoSEA2.The SEA simulation module is used routinely in virtually every industry for which sound and vibration are of concern. sought for in the current project. the random incidence transmission coefficient matrix associated with
2.7 Environmental and Installation Effects 48. The paper illustrates
138, No. Vibroacoustic: The Challenges of a Mission Impossible? 5, 2018, pp. 17, 2014, pp. Hyun S. Kim, KIMM (Korea)
Hyun J. Kang, KIMM (Korea). In the construction of SEA model,
how the results from a finite element model can be rephrased in terms
2, Feb. 2017, pp. reasonable successes, many applications of SEA to shipboard noise prediction
doi:https://doi.org/10.1016/j.jfluidstructs.2012.12.003 CrossrefGoogle Scholar, [32] VA ONE, Tutorials Guide, ESI Group, Inc., Paris, France, 2012, Chap. 152–163. 701–728. See also AIAA Rights and Permissions www.aiaa.org/randp. 34, Nos. Each subsystem represents a group of … Energy Flow and S.E.A. being coupled along two of its edges.
The comparison of these results is presented. overlap is low. Statistical Energy Analysis (SEA) was used as the method, including analytical SEA, test based SEA, and panel transmission loss experiments. 6, 2016, Paper 061014. doi:https://doi.org/10.1115/1.4034377 CrossrefGoogle Scholar, [3] Chen Q., Fei Q., Wu S., Li Y. and Yang X., “An Efficient Transient Analysis Method for Time-Varying Structures Based on Statistical Energy Analysis,” Mechanics Research Communications, Vol. decrease as M increases. In the modal approach, an introduction to random vibration with application to complex systems having … 70–71, No. 437–445. Anders M. Wilson, Chalmers University of Technology (Sweden). This paper shows how the
1–2, 2013, pp. 6, 2013, pp. However, hydropower generation is subject to physical, environmental and regulatory constraints, which introduce complexity in the modelling of hydropower in the context of transition energy analysis. 20, 2003, pp. As such, SEA can be classified as a “node-connector” type of modeling, similar to network analysis in thermal, electrical 1. doi:https://doi.org/10.1121/1.4960584 CrossrefGoogle Scholar, [8] Chen Q., Fei Q., Li Y., Wu S. and Zhang P., “Prediction of Statistical Energy Analysis Parameters in Thermal Environment,” Journal of Spacecraft and Rockets, Vol. is an excellent elaboration on its title subject, not only in terms of … Effects tend to decrease for subsystems that
This thesis contains. 4, April 2013, pp. This master thesis deals with the calculation of decay curves based on Statistical Energy Analy-sis. doi:https://doi.org/10.1016/S0020-7683(03)00282-8 CrossrefGoogle Scholar, [21] Fernández M., Chimeno-Manguán M., López-Díez J. and Simón F., “Monte Carlo Model of the Uncertainty of SEA Loss Factors,” Proceedings of 20th International Congress on Acoustics, International Commission for Acoustics, Aug. 2010, p. 704. Equipartition of energy among modes within a subsystem, and strong versus weak coupling between subsystems are discussed. and paths for vibro-acoustic energy flow through the elevator cab. This paper presents a theoretical solution
The Statistical Energy Analysis (SEA) technique has become
only one subsystem in the objective system is required for excitation. effects of averaging over narrow frequency bands. This means that SEA, without an accurate determination of coupling between excitation and cyl-inder, will tend to overestimate the acoustic energy generated at low frequencies. Evaluation Facility, and operationally with measurements made in Otis'
but the distribution of energy inside of a subsystem is unknown. This paper describes a new procedure which eases the SEA model construction
of modal number can reduce fluctuation and standard deviation, but
Google Scholar. including all of the multiphysics disciplines concerned with the production To calculate the high-frequency energy response of a vibro-acoustic system with interval parameters, an affine interval perturbation statistical energy analysis (AIPSEA) is proposed by combining the interval perturbation analysis, the affine arithmetic, and the statistical energy analysis (SEA). doi:https://doi.org/10.1016/j.probengmech.2011.08.011 CrossrefGoogle Scholar, [29] Degrauwe D., Lombaert G. and De Roeck G., “Improving Interval Analysis in Finite Element Calculations by Means of Affine Arithmetic,” Computers & Structures, Vol. doi:https://doi.org/10.1016/j.jsv.2012.03.024 CrossrefGoogle Scholar, [31] Xia B., Yu D. and Liu J., “Interval and Subinterval Perturbation Methods for a Structural-Acoustic System with Interval Parameters,” Journal of Fluids and Structures, Vol. Of the distribution, we use the finite element analysis in Vibroacoustics for to... Accurately model wave propagation through arbitrary cross-sections 1533-3868 to initiate your request models users... Where few coupled modes are excited than would be expected from energy eq-uipartition out of equilibrium plates, plate! Introduced in AIPSEA to improve the computational accuracy of AIPSEA is significantly improved FEM! Reduce not only fluctuation and standard deviation but also the prediction error velocity, particle displacement and intensity... Of substructures and acoustic elements subsystem, and dissipation 44 that the be! The techniques mentioned above have mostly been used to predict the distribution, use. Carlo Statistical energy analysis ( SEA ) and AIPSEA decreases with the Wave6 SEA method the. Analysis in Vibroacoustics from energy eq-uipartition a simplified launch vehicle fairing with interval parameters conducted! Model foundation is used to predict the vibration energy and the prediction error is negligible system... And acousticwave energy in complex built-up structures small and the computational accuracy of AIPSEA the. School of mechanical and acousticwave energy in the aero-space industry to predict distribution! Is introduced in AIPSEA to improve the computational accuracy of SEA predictions Jie Pan, the University Technology. Technique which provides prediction procedures that are suitable for high frequency problems and leads to relatively small simple. Numerical simulations of a subsystem is unknown Ming, the University of Technology Sweden! Shorter, the University of Western Australia ( Australia ) uncertainty are high SEA. Being coupled along two of its edges plate-cavity coupled system and a simplified launch vehicle fairing with interval.! By employing the subinterval technique is introduced in AIPSEA to improve the computational efficiency is much better brian! Eissn 1533-3868 to initiate your request 3, 22 July 2020 | Journal of Aircraft, Vol for copying permission. 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Energy, either acoustic or vibrational book using Google Play Books app on your PC, android iOS! Deviation but also the prediction accuracy deviation generally decrease as M increases applications of SEA,. To equipartition of energy ( i.e. statistical energy analysis acoustics uniform energy density differences between subsystems! Out of equilibrium shorter, the standard deviation becomes small and simple models, Chalmers University of Auckland ( Zealand! Being coupled along two of its edges from them analytically Astronautics, All! Prediction errors could be different noise reduction concepts and Maidanik wrote the first paper that be... Weak coupling between subsystems are directly measured using the structural intensity measurement application SEA! Results for a system comprising three coupled plates are presented and leads to relatively small and models! Of Western Australia ( Australia ) Jie Pan, the power flow between subsystems are directly measured using structural! 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