Estimation of Reverberation Time in Classrooms Using the Residual Minimization Method

• Autorzy: Nowoświat A. , Olechowska M.

Identyfikatory

DOI

10.1515/aoa-2017-0065

• Języki publikacji: EN

Abstrakty

EN

The objective of the residual minimization method is to determine a coefficient correcting the Sabine’s model. The Sabine’s equation is the most commonly applied formula in the designing process of room acoustics with the use of analytical methods. The correction of this model is indispensable for its application in rooms having non-diffusive acoustic field. The authors of the present paper will be using the residual minimization method to work out a suitable correction to be applied for classrooms. For this purpose, five different poorly dampened classrooms were selected, in which the measurements of reverberation time were carried out, and for which reverberation time was calculated with the use of theoretical methods. Three of the selected classrooms had the cubic volume of 258.5 m³ and the remaining two had the cubic volume of 190.8 m³. It was sufficient to estimate the correction for the Sabine’s equation. To verify the results, three other classrooms were selected, in which also the measurements of reverberation time were carried out. The results were verified by means of real measurements of reverberation time and by means of computer simulations in the program ODEON.

Słowa kluczowe

EN

reverberation time; Sabine's formula; classroom; residual minimization method; coefficient correcting the Sabine’s model; ODEON

• Wydawca: Instytut Podstawowych Problemów Techniki PAN ; Komitet Akustyki PAN ; Polskie Towarzystwo Akustyczne
• Czasopismo: Archives of Acoustics
• Rocznik: 2017
• Tom: Vol. 42, No. 4
• Strony: 609--617
• Opis fizyczny: Bibliogr. 38 poz., fot., rys., tab., wykr.

Twórcy

autor

Nowoświat A.

• Faculty of Civil Engineering, Silesian University of Technology, Akademicka 5, 44-100 Gliwice, Poland

autor

Olechowska M.

• Faculty of Civil Engineering, Silesian University of Technology, Akademicka 5, 44-100 Gliwice, Poland

Bibliografia

• 1. Agarwal N., Shiva Nagendra S. M. (2016), Modelling of particulate matters distribution inside the multilevel urban classrooms in tropical climate for exposure assessment, Building and Environment, 102, 73-82.
• 2. Arau-Puchades H., Berardi U. (2015), A revised sound energy theory based on a new formula for the reverberation radius in rooms with non-diffuse sound field, Archives of Acoustics, 40, 1, 33-40.
• 3. Arau-Puchades H., Berardi U. (2013), The reverberation radius in ans enclosure with asymmetrical absorption distribution, Proceedings of Meetings on Acoustics, Vol. 19, ICA 2013 Montreal, Canada, 1-8.
• 4. Astolfi A., Corrado V., Griginis A. (2008), Comparison between measured and calculated parameters for the acoustical characterization of small classrooms, Applied Acoustics, 69, 966-976.
• 5. Beranek L. L. (2006), Analysis of Sabine and Eyring equations and their application to concert hall audience and chair absorption, Journal of the Acoustical Society of America, 120, 3, 1399-1410.
• 6. Berardi U., Cirillo E., Martellotta F. (2009), A comparative analysis of acoustic energy models for churches, Journal of the Acoustical Society of America, 126, 1838.
• 7. Berardi U. (2014), Simulation of acoustical parameters in rectangular churches, Journal of Building Performance Simulation, 7, 1, 1-16.
• 8. Bistafa S. R., Bradley J. S. (2000), Predicting reverberation times in a simulated classroom, Journal of the Acoustical Society of America, 108, 1721-1731.
• 9. Bradley J. S., Sato H. (2008), The intelligibility of speech in elementary school classrooms, Journal of the Acoustical Society of America, 123, 4, 2078-2086.
• 10. Cambell C., Svensson C., Nilsson E. (2014), The same reverberation time in two identical rooms does not necessarily mean the same levels of speech clarity and sound levels when we look at impact of different ceiling and wall absorbers, INTER-NOISE and NOISE-CON Congress and Conference Proceedings, Vol. 249, no 2, pp. 5446-5461, Australia, 16-19 November.
• 11. Choi Y. (2016), Effect of occupancy on acoustical conditions in university classrooms, Applied Acoustics, 114, 36-43.
• 12. Cremer L., Müller A. (1982), Principles and applications of room acoustics, Vol. 1, p. 235, Applied Science, London.
• 13. Dongre A. R., Patil A. P., Wahurwagh A. J., Kothari A., Buruchundi K., Manohare M. M. (2017), Acoustical characteristics of classrooms of tropical climate, Applied Acoustics, 121, 46-55.
• 14. EN 12354-6 (2003), Building acoustics – Estimation of acoustic performance of buildings from the performance of elements – Part 6: Sound absorption in enclosed spaces.
• 15. Frontczak M., Schiavon S., Goins J., Arens E., Zhang H., Wargocki P. (2012), Quantitative relationships between occupant satisfaction and satisfaction aspects of indoor environmental quality and building design, Indoor Air, 22, 119-131.
• 16. Haka M., Haapakanges A., Keränen J., Hakala J., Keskinen E., Hongisto V. (2009), Performance effects and subjective disturbance of speech in acoustically different office types – a laboratory experiment, Indoor Air, 19, 6, 454-467.
• 17. Hodgson M. (1999), Experimental investigation of the acoustical characteristics of university classrooms, Journal of the Acoustical Society of America, 106, 4, 1810-1819.
• 18. Hongisto V. (2005), A model predicting the effect of speech of varying intelligibility on work performance, Indoor Air, 15, 6, 458-468.
• 19. ISO 3382-2 (2008), Acoustics – Measurement of room acoustic parameters – Part 2: Reverberation time in ordinary rooms.
• 20. John J., Thampuran A. L., Premlet B. (2016), Objective and subjective evaluation of acoustic comfort in classrooms: A comparative investigation of vernacular and modern school classroom in Kerala, Applied Acoustics, 104, 33-41.
• 21. Kang J., Neubauer R. O. (2001), Predicting reverberation time: comparison between analytic formulae and computer simulation, Proceedings of the 17th International Conference on Acoustics (ICA).
• 22. Kielb C., Lin S., Muscatiello N., Hord W., Rogers-Harrington J., Healy J. (2014), Buildingrelated health symptoms and classroom indoor air quality: a survey of school teachers in New York State, Indoor Air,25, 4, 371-380.
• 23. Krüger E. L., Zannin P. H. T. (2004), Acoustic, thermal and luminous comfort in classrooms, Building and Environment, 39, 9, 1055-1063.
• 24. Lee P. J., Jeon J. Y. (2014), A laboratory study for assessing speech privacy in a simulated open-plan office, Indoor Air, 24, 3, 3017-314.
• 25. Lee S. C., Chang M. (1999), Indoor air quality investigations at five classrooms, Indoor Air, 9, 2, 134-138.
• 26. Leśna P., Skrodzka E. (2010), Subjective evaluation of classroom acoustics by teenagers vs. reverberation time, Acta Physica Polonica A, 118, 115-117.
• 27. Madbouly A.I., Noaman A.Y., Ragab A. H. M., Khedra A. M., Fayoumi A. G. (2016), Assessment model of classroom acoustics criteria for enhancing speech intelligibility and learning quality, Applied Acoustics, 114, 147-158.
• 28. Mealings K. T., Buchholz J. M., Demuth K., Dillon H. (2015), Investigating the acoustics of a sample of open plan and enclosed Kindergarten classrooms in Australia, Applied Acoustics, 100, 95-105.
• 29. Mijić M., Mašović D. (2010), Reverberation radius in real rooms, Telfor Journal, 2, 2, 86-91.
• 30. Mikulski W., Radosz J. (2011), Acoustics of classrooms in primary schools – results of the reverberation time and speech transmission index assessments in selected buildings, Archives of Acoustics, 36, 4, 777-793.
• 31. Neubauer R. O., Kostek B. (2001), Prediction of the reverberation time in rectangular rooms with nonuniformly distributed sound absorption, Archives of Acoustics, 26, 3, 183-201.
• 32. Nowoświat A., Olechowska M. (2016a), Fast estimation of speech transmission index using the reverberation time, Applied Acoustics, 102, 55-61.
• 33. Nowoświat A., Olechowska M. (2016b), Investigation studies on the application of reverberation time, Archives of Acoustics, 41, 1, 15-26.
• 34. Nowoświat A., Olechowska M., Ślusarek J. (2016), Prediction of reverberation time using the residual minimization method, Applied Acoustics, 106, 42-50.
• 35. Passero C. R. M., Zannin P. H. T. (2010), Statistical comparison of reverberation times measured by the integrated impulse response and interrupted noise methods, computationally simulated with ODEON software, and calculated by Sabine, Eyring and Arau-Puchades’ formulas, Applied Acoustics, 71, 1204-1210.
• 36. Prodi C. R. M., Visentin Ch., Farnetani A. (2010), Intelligibility, listening difficulty and listening efficiency in auralized classrooms, Journal of the Acoustical Society of America, 128, 1, 172-181.
• 37. Twardella D., Matzen W., Lahrz T., Burghardt R., Spegel H., Hendrowarsito L., Frenzel A. C., Fromme H. (2012), Effect of classroom air quality on students’ concentration: results of a clusterrendomized crossover experimental study, Indoor Air, 22, 5, 378-387.
• 38. Yang Z., Becerik-Gerber B., Mino L. (2013), A study on student perceptions of higher education classrooms: Impact of classroom attributes on student satisfaction and performance, Building and Environment, 70, 171-188.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).