Development of a method for optimization calculation of a group of sound-insulating panels for airborn noise protection

Authors

DOI:

https://doi.org/10.15587/1729-4061.2019.170079

Keywords:

noise, multilayer panels, sound insulation, optimization calculation, calculation algorithm, objective function.

Abstract

Various designs and procedures for calculating soundproof panels for protecting premises against airborne noise were considered. These procedures make it possible to calculate single-layer, two-layer and three-layer panels. Single-layer panels may consist of homogeneous solid and thin materials. Two-layer panels may consist of two thin layers of different thickness and an air gap. Three-layer panels can be made of two thin layers of different thickness and a sound-absorbing material between them. These procedures enable calculation and optimization of individual structures of sound-proofing panels independently of each other. The problem of simultaneous penetration of noise from one source into several adjacent rooms was considered. When using the procedures considered in references, maximum effect is unattainable. In this regard, a method of optimization calculation of a group of sound-proofing panels aimed at achievement of the most advantageous value of the objective function was proposed.

The method is based on a random search resting on random distribution of typical structures and procured materials among panels. Choice of the best result is made proceeding from a result of checking fulfillment of limiting conditions.

The following options of the objective function were proposed: the excessive noise load, the total index of noise reduction in rooms, the total cost of sound-proofing panels and the number of panels made. Recommendations were given on the choice of the objective function option taking into account concrete production conditions.

The result of optimization consists in the choice of design of the panel for each room and distribution of available materials among them. Formulation of the optimization problem with various options of the objective function and limitations has been considered. Efficiency of using this method was confirmed by almost 24 % lower cost of panels compared to the separate panel designing using conventional methods.

Author Biographies

Oleksandr Mamontov, Kharkiv National University of Radio Electronics Nauky ave., 14, Kharkiv, Ukraine, 61166

PhD, Senior Lecturer

Department of Occupational Safety

Tatiana Stytsenko, Kharkiv National University of Radio Electronics Nauky ave., 14, Kharkiv, Ukraine, 61166

PhD, Associate Professor, Head of Department

Department of Occupational Safety

References

  1. World Health Organization. Available at: https://www.who.int/healthinfo/statistics/en/
  2. Patinha, S., Cunha, F., Fangueiro, R., Rana, S., Prego, F. (2014). Acoustical Behavior of Hybrid Composite Sandwich Panels. Key Engineering Materials, 634, 455–464. doi: https://doi.org/10.4028/www.scientific.net/kem.634.455
  3. Ehsan Moosavimehr, S., Srikantha Phani, A. (2017). Sound transmission loss characteristics of sandwich panels with a truss lattice core. The Journal of the Acoustical Society of America, 141 (4), 2921–2932. doi: https://doi.org/10.1121/1.4979934
  4. Khalkhali, A., Narimanzadeh, N., Khakshournia, S., Amiri, S. (2014). Optimal design of sandwich panels using multi-objective genetic algorithm and finite element method. International Journal of Engineering, 27 (3), 395–402. Available at: http://www.ijeir.info/article_72266_adb3b989a7941894512bf7c6927b94ed.pdf
  5. Cameron, C. J., Lind Nordgren, E., Wennhage, P., Göransson, P. (2014). On the balancing of structural and acoustic performance of a sandwich panel based on topology, property, and size optimization. Journal of Sound and Vibration, 333 (13), 2677–2698. doi: https://doi.org/10.1016/j.jsv.2014.01.025
  6. Leite, P., Thomas, M., Simon, F., Bréchet, Y. (2015). Optimal Design of a Multifunctional Sandwich Panel With Foam Core: Lightweight Design for Flexural Stiffness and Acoustical Transmission Loss. Advanced Engineering Materials, 17 (3), 311–318. doi: https://doi.org/10.1002/adem.201400075
  7. Wang, T., Li, S., Nutt, S. R. (2009). Optimal design of acoustical sandwich panels with a genetic algorithm. Applied Acoustics, 70 (3), 416–425. doi: https://doi.org/10.1016/j.apacoust.2008.06.003
  8. Li, Q., Yang, D. (2018). Mechanical and Acoustic Performance of Sandwich Panels With Hybrid Cellular Cores. Journal of Vibration and Acoustics, 140 (6), 061016. doi: https://doi.org/10.1115/1.4040514
  9. Belikov, A. S., Sokolov, I. A., Shalomov, V. A., Mamontov, A. V. (2017). Improving safety in workplaces when operating the compressor units for the account of improving the calculation of sound absorption coatings. Heotekhnichna mekhanika, 135, 246–257.
  10. Kliuchnik, I., Mamontov, A., Umiarov, R., Shalayeva, V. (2018). Methods of modular type rotors optimal complexing in the process of the composition. Metrology and Instruments, 1, 53–57.
  11. Soundproofing materials and acoustic Solutions. Available at: http://www.keepitquiet.co.uk/
  12. Kiseleva, E. G. (2011). Raschet zvukoizolyatsii ograzhdayuschih konstruktsiy zhilyh i obschestvennyh zdaniy. Moscow, 52.
  13. Mistakidis, E. S., Stavroulakis, G. E. (2013). Nonconvex Optimization in Mechanics: Algorithms, Heuristics and Engineering Applications by the F.E.M. New York: Springer.
  14. Gurskiy, D., Turbina, E. (2006). Vychisleniya v MATHCAD 12. Sankt-Peterburg: Piter, 544.
  15. Rybalko, O. M. (2014). Vyshcha matematyka (spetsialni rozdili). Osnovy teoriyi imovirnostei z elementamy matematychnoi statystyky. Kharkiv, 359.

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Published

2019-06-11

How to Cite

Mamontov, O., & Stytsenko, T. (2019). Development of a method for optimization calculation of a group of sound-insulating panels for airborn noise protection. Eastern-European Journal of Enterprise Technologies, 3(10 (99), 32–38. https://doi.org/10.15587/1729-4061.2019.170079

Issue

Vol. 3 No. 10 (99) (2019): Ecology

Section

Ecology

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Copyright (c) 2019 Oleksandr Mamontov, Tatiana Stytsenko

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