Document Type : Original Article


1 Construction Engineering and Management, Kharazmi University of Tehran, Tehran, Iran

2 Faculty of Engineering, Kharazmi University of Tehran, Tehran, Iran


Proper acoustic design is especially important in some buildings. For example, in concert halls, one of the desirable functional features is the proper transmission of music. In this regard, an indicator that can effectively show the quality of the received sound is the sound intensity, which is the purpose of this study is a way to optimize this indicator. Among the most effective variables that will affect the intensity of the received sound and also the important characteristics of the sound source are the frequency and octave of the sound, as well as the distance between the sound source and the receiver. In this research, a new method was proposed to investigate the effect of these three variables on the received sound intensity. In this regard, ODEON software, one of the most powerful software in acoustic design, was used and data analyses were implemented. Then, using full factorial method (one of the experimental design methods), targeted scenarios based on three independent variables were identified and by using the results of simulated scenarios, the linear relationship between the dependent variable (sound intensity) and independent variables (frequency, octave and distance) were developed. Using this linear relationship, it was found that the octave of sound has the greatest effect on sound intensity, and sound frequency and distance from the sound source were inversely related to the sound intensity.


Main Subjects

  1. Liu, J., and Landers, R., 2004. Integrated Modular Machine Tool Simulation for Education in Manufacturing Automation. International Journal of Engineering Education, 20(4), pp.594–611
  2. Klopfer, E., and Squire, K., 2007. Environmental Detectives—the development of an augmented reality platform for environmental simulations. Educational Technology Research and Development, 56(2), pp.203–228. Doi: 10.1007/S11423-007-9037-6
  3. Chalak Qazani, M.R., Asadi, H., and Nahavandi, S., 2019. A decoupled linear model predictive control-based motion cueing algorithm for simulation-based motion platform with limitted workspace. Proceedings of the IEEE International Conference on Industrial Technology, 2019(February), pp.35–41. Doi: 10.1109/ICIT.2019.8755051
  4. Milton, M., Benigni, A., and Monti, A., 2019. Real-Time Multi-FPGA Simulation of Energy Conversion Systems. IEEE Transactions on Energy Conversion, 34(4), pp.2198–2208. Doi: 10.1109/TEC.2019.2938811
  5. Kadim Karim Mohsen Alturshan, 2018. Acoustical noise reduction technique. International Journal of Energy and Environment, 9(1), pp.2076–2909
  6. Llorca Bofí, J., Redondo Domínguez, E., and Vorlaender, M., 2019. Learning room acoustics by design: a project-based experience. International Journal of Engineering Education, 35(1(B)), pp.417–423
  7. Kapoulea, S., Psychalinos, C., and Elwakil, A.S., 2020. Fractional-order shelving filter designs for acoustic applications. Proceedings - IEEE International Symposium on Circuits and Systems, 2020(October), pp.1–5. Doi: 10.1109/ISCAS45731.2020.9180640/VIDEO
  8. Everest, F., and Pohlmann, K., 2015. Master handbook of acoustics. McGraw-Hill Education.
  9. Sutherland, L.C., and Lubman, D., 2004. Development and challenges of the American National Standards Institute standard for classroom acoustics. Seminars in Hearing, 25(2), pp.167–177. Doi: 10.1055/S-2004-828667/ID/2
  10. Bozkurt, T.S., and Demirkale, S.Y., 2017. The field study and numerical simulation of industrial noise mapping. Journal of Building Engineering, 9, pp.60–75. Doi: 10.1016/J.JOBE.2016.11.007
  11. Iranian National building standard code 18, Insulation and sound regulation in the building, 2018.
  12. Alonso, A., Suárez, R., Patricio, J., Escandón, R., and Sendra, J.J., 2021. Acoustic retrofit strategies of windows in facades of residential buildings: Requirements and recommendations to reduce exposure to environmental noise. Journal of Building Engineering, 41, pp.102773. Doi: 10.1016/J.JOBE.2021.102773
  13. Dissanayake, D.G.K., Weerasinghe, D.U., Thebuwanage, L.M., and Bandara, U.A.A.N., 2021. An environmentally friendly sound insulation material from post-industrial textile waste and natural rubber. Journal of Building Engineering, 33, pp.101606. Doi: 10.1016/J.JOBE.2020.101606
  14. Glé, P., Massossa-Telo, G., Hellouin de Menibus, A., Degrave-Lemeurs, M., and Gourdon, E., 2021. Characterization and modelling of the sound reduction of hemp-clay walls in buildings. Journal of Building Engineering, 40, pp.102315. Doi: 10.1016/J.JOBE.2021.102315
  15. Hasan, S., Usmani, J.A., and Islam, M., 2018. Simulation of Energy Conservation in a Building: A Case Study. Iranian (Iranica) Journal of Energy & Environment, 9(1), pp.10–15. Doi: 10.5829/IJEE.2018.09.01.02
  16. Deli, A.A., 2017. Natural frequency response to the angle and size of oblique crack in an isotropic hyper composite beam. International Journal of Energy & Environment, 8(6), pp.523–536
  17. Ibrahim Mohammed, K., and Mohammed Younus, Y., 2019. Experimental investigation into the effect of erosion and corrosion in pipes conveying fluid on its frequencies. International Journal of Energy and Environment, 10(1), pp.2076–2909
  18. Kazemian, M.E., Gandjalikhan Nassab, S.A., and Jahanshahi Javarana, E., 2021. Techno-economic Optimization of Combined Cooling, Heat and Power System Based on Response Surface Methodology. Iranian (Iranica) Journal of Energy & Environment, 12(4), pp.285–296. Doi: 10.5829/IJEE.2021.12.04.02
  19. Anju, G., Subha, B., Muthukumar, M., and Sangeetha, T., 2019. Application of Response Surface Methodology for Sago Wastewater Treatment by Ozonation. Iranian (Iranica) Journal of Energy & Environment, 10(2), pp.96–103. Doi: 10.5829/IJEE.2019.10.02.05