Architectural Acoustic Modeling for Predicting Reverberation Time in Room Acoustic Design Using Multiple Criteria Decision Making Analysis
This paper presents architectural acoustic modeling to estimate reverberation time in room acoustic design using multiple criteria decision making analysis. First, fundamental decision criteria were determined to evaluate the reverberation time in the room acoustic design problem. Then, the proposed model was applied to a practical decision problem to evaluate and select the optimal room acoustic design model. Finally, the optimal acoustic design of the rooms was analyzed and ranked using a multiple criteria decision making analysis method.
[1] Ardil, C. (2020). A Comparative Analysis of Multiple Criteria Decision Making Analysis Methods for Strategic, Tactical, and Operational Decisions in Military Fighter Aircraft Selection. International Journal of Aerospace and Mechanical Engineering, 14(7), 275 - 288.
[2] Ardil, C. (2020). Aircraft Selection Process Using Preference Analysis for Reference Ideal Solution (PARIS). International Journal of Aerospace and Mechanical Engineering, 14(3), 80 - 93.
[3] Ardil, C. (2020). Regional Aircraft Selection Using Preference Analysis for Reference Ideal Solution (PARIS). International Journal of Transport and Vehicle Engineering, 14(9), 378 - 388.
[4] Ardil, C. (2020). Trainer Aircraft Selection Using Preference Analysis for Reference Ideal Solution (PARIS). International Journal of Aerospace and Mechanical Engineering, 14(5), 195 - 209.
[5] Saaty, T. L. (1990). How to make a decision: The Analytic Hierarchy Process. European Journal of Operational Research, 48(1), 9-26. doi: 10.1016/0377-2217(90)90057-I
[6] Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83-98. doi: 10.1504/IJSSCI.2008.017590
[7] Saaty, T.L. (1980). Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York.
[8] Opricovic, S. (1998). Multicriteria Optimization of Civil Engineering Systems. PhD Thesis, Faculty of Civil Engineering, Belgrade (in Serbian).
[9] Opricovic, S. (2007). A fuzzy compromise solution for multicriteria problems. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 15(3), 363–380.
[10] Opricovic, S., Tzeng, G.-H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156(2), 445–455.
[11] Brans JP., Mareschal B. (2005). Promethee Methods. In: Multiple Criteria Decision Analysis: State of the Art Surveys. International Series in Operations Research & Management Science, vol 78, pp 163-186. Springer, New York, NY. https://doi.org/10.1007/0-387-23081-5_5.
[12] Brans, J., Ph. Vincke. (1985). A Preference Ranking Organisation Method: (The PROMETHEE Method for Multiple Criteria Decision-Making). Management Science, 31(6), 647-656.
[13] Brans, J.P., Macharis, C., Kunsch, P.L., Chevalier, A., Schwaninger, M., (1998). Combining multicriteria decision aid and system dynamics for the control of socio-economic processes. An iterative real-time procedure. European Journal of Operational Research 109, 428-441.
[14] Brans, J.P., Vincke, Ph., Mareschal, B., (1986). How to select and how to rank projects: the PROMETHEE method. European Journal of Operational Research, 24, 228-238.
[15] Hwang, C.L.; Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications. New York: Springer-Verlag.
[16] Chu, T.C. (2002. Facility location selection using fuzzy TOPSIS under group decisions”, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Vol. 10 No. 6, pp. 687-701.
[17] Choudhary, D. and Shankar, R. (2012. A STEEP-fuzzy AHP-TOPSIS framework for evaluation and selection of thermal power plant location: a case study from India”, Energy, Vol. 42 No. 1, pp. 510-521.
[18] Zavadskas, E.K., Mardani, A., Turskis, Z., Jusoh, A., Nor, K.M. (2016) Development of TOPSIS method to solve complicated decision-making problems: An overview on developments from 2000 to 2015. International Journal of Information Technology & Decision Making, 15, 645-682.
[19] Roy, B. (1991). The outranking approach and the foundation of ELECTRE methods. Theory and Decision, 31(1), 49–73.
[20] Fei, L., Xia, J., Feng, Y., Liu, L. (2019) An ELECTRE-Based Multiple Criteria Decision Making Method for Supplier Selection Using Dempster-Shafer Theory. IEEE Access, 7, 84701-84716.
[21] Zadeh L.A., (1965). Fuzzy Sets. Information and Control, 8, 338-353.
[22] Bellman, R.E., Zadeh, L.A. (1970). Decision-making in a fuzzy environment. Management Science, 17(4), 141–164.
[23] Fausti, P., Pompoli, R., Prodi, N. (2003). Comparing the acoustics of mosques and Byzantine churches.
[24] Carvalho, A., Monteiro, C. (2009). Comparison of the Acoustics of Mosques and Catholic Shurches. 16th International Congress on Sound and Vibration 2009, ICSV 2009.
[25] Zhonghua, G., Lau, S. (2017). Acoustic Design for an Auditorium Project. 51st International Conference of the Architectural Science Association (ANZAScA)), pp. 167–176.
[26] Jeong, K., Hong, T., Kim, S.H., Kim, J., Lee, S. (2018). Acoustic Design of a Classical Concert Hall and Evaluation of its Acoustic Performance – A Case Study.
[27] Nowicka, E. (2020). The acoustical assessment of the commercial spaces and buildings. Applied Acoustics 169 (2020) 107491. 10.1016/j.apacoust.2020.107491.
[28] Sert, F. Y., Karaman, Ö. Y. (2021). An Investigation on the Effects of Architectural Features on Acoustical Environment of Historical Mosques. Acoustics, 3(3), 559–580. doi:10.3390/acoustics3030036
[29] Üretmen, N. (1991). Selimiye Camii'nin Akustik İncelemesi.Doktora Tezi, Trakya Üniversitesi, Fen Bilimleri Enstitiüsü, Edirne.
[30] Ardil, C. (1991). Üç Şerefeli Camii'nin Ses Basınç Seviyelerinin İncelenmesi. Yüksek Lisans Tezi, Trakya Üniversitesi, Fen Bilimleri Enstitiüsü, Edirne.
[31] Erdem, A. (1992). Muradiye Camii'nin Akustik Karakteristikleri Üzerine Bir Araştırma. Doktora Tezi, Trakya Üniversitesi, Fen Bilimleri Enstitiüsü, Edirne.
[32] ISO 3382-1. Acoustics. Measurement of Room Acoustic Parameters. Part 1: Performance Spaces; ISO: Geneva, Switzerland, 2009.
[33] DIN18041. Acoustics Quality in Rooms—Specification and Instructions for the Room Acoustics Design;DIN:Berlin, Germany, 2016.
[34] Labia, L., Shtrepi, L., Astolfi, A. (2020). Improved Room Acoustics Quality in Meeting Rooms: Investigation on the Optimal Configurations of Sound-Absorptive and Sound-Diffusive Panels. Acoustics, 2(3), 451–473. doi:10.3390/acoustics2030025
[35] UNI 11532-2. Internal Acoustical Characteristics of Confined Spaces—Design Methods and Evaluation Techniques—Part 2: Educational Sector; UNI: Milan, Italy, 2020.
[36] ISO 3382-1. Acoustics. Measurement of Room Acoustic Parameters. Part 1: Performance Spaces; ISO: Geneva, Switzerland, 2009.
[37] ISO 1996-2. Acoustics—Description, Measurement and Assessment of Environmental Noise—Part 2: Determination of Sound Pressure Levels; ISO: Geneva, Switzerland, 2017.
[38] ISO 1996-2. Acoustics—Description, Measurement and Assessment of Environmental Noise—Part 2: Determination of Sound Pressure Levels; ISO: Geneva, Switzerland, 2017.
[39] ISO 17497. Acoustics Sound Scattering Properties of Surfaces—Part 1: Measurement of the Random-Incidence Scattering Coefficient in a Reverberation Room; ISO: Geneva, Switzerland, 2004.
[40] ISO 354. Acoustics. Measurement of Sound Absorption in a Reverberation Room; ISO: Geneva, Switzerland, 2003.
[41] UNI EN ISO 11654. Acoustics—Sound Absorbers for Use in Buildings—Rating of Sound Absorption; UNI: Milan, Italy, 1998.
[42] AES-4id-2001. AES Information Document for Room Acoustics and Sound Reinforcement Systems—Characterization and Measurement of Surface Scattering Uniformity; AES: New York, NY, USA, 2008.
[43] Beranek, L.L. (2016). Concert hall acoustics: Recent findings. The Journal of the Acoustical Society of America 139, 1548 (2016); https://doi.org/10.1121/1.4944787
[1] Ardil, C. (2020). A Comparative Analysis of Multiple Criteria Decision Making Analysis Methods for Strategic, Tactical, and Operational Decisions in Military Fighter Aircraft Selection. International Journal of Aerospace and Mechanical Engineering, 14(7), 275 - 288.
[2] Ardil, C. (2020). Aircraft Selection Process Using Preference Analysis for Reference Ideal Solution (PARIS). International Journal of Aerospace and Mechanical Engineering, 14(3), 80 - 93.
[3] Ardil, C. (2020). Regional Aircraft Selection Using Preference Analysis for Reference Ideal Solution (PARIS). International Journal of Transport and Vehicle Engineering, 14(9), 378 - 388.
[4] Ardil, C. (2020). Trainer Aircraft Selection Using Preference Analysis for Reference Ideal Solution (PARIS). International Journal of Aerospace and Mechanical Engineering, 14(5), 195 - 209.
[5] Saaty, T. L. (1990). How to make a decision: The Analytic Hierarchy Process. European Journal of Operational Research, 48(1), 9-26. doi: 10.1016/0377-2217(90)90057-I
[6] Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83-98. doi: 10.1504/IJSSCI.2008.017590
[7] Saaty, T.L. (1980). Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York.
[8] Opricovic, S. (1998). Multicriteria Optimization of Civil Engineering Systems. PhD Thesis, Faculty of Civil Engineering, Belgrade (in Serbian).
[9] Opricovic, S. (2007). A fuzzy compromise solution for multicriteria problems. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 15(3), 363–380.
[10] Opricovic, S., Tzeng, G.-H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156(2), 445–455.
[11] Brans JP., Mareschal B. (2005). Promethee Methods. In: Multiple Criteria Decision Analysis: State of the Art Surveys. International Series in Operations Research & Management Science, vol 78, pp 163-186. Springer, New York, NY. https://doi.org/10.1007/0-387-23081-5_5.
[12] Brans, J., Ph. Vincke. (1985). A Preference Ranking Organisation Method: (The PROMETHEE Method for Multiple Criteria Decision-Making). Management Science, 31(6), 647-656.
[13] Brans, J.P., Macharis, C., Kunsch, P.L., Chevalier, A., Schwaninger, M., (1998). Combining multicriteria decision aid and system dynamics for the control of socio-economic processes. An iterative real-time procedure. European Journal of Operational Research 109, 428-441.
[14] Brans, J.P., Vincke, Ph., Mareschal, B., (1986). How to select and how to rank projects: the PROMETHEE method. European Journal of Operational Research, 24, 228-238.
[15] Hwang, C.L.; Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications. New York: Springer-Verlag.
[16] Chu, T.C. (2002. Facility location selection using fuzzy TOPSIS under group decisions”, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Vol. 10 No. 6, pp. 687-701.
[17] Choudhary, D. and Shankar, R. (2012. A STEEP-fuzzy AHP-TOPSIS framework for evaluation and selection of thermal power plant location: a case study from India”, Energy, Vol. 42 No. 1, pp. 510-521.
[18] Zavadskas, E.K., Mardani, A., Turskis, Z., Jusoh, A., Nor, K.M. (2016) Development of TOPSIS method to solve complicated decision-making problems: An overview on developments from 2000 to 2015. International Journal of Information Technology & Decision Making, 15, 645-682.
[19] Roy, B. (1991). The outranking approach and the foundation of ELECTRE methods. Theory and Decision, 31(1), 49–73.
[20] Fei, L., Xia, J., Feng, Y., Liu, L. (2019) An ELECTRE-Based Multiple Criteria Decision Making Method for Supplier Selection Using Dempster-Shafer Theory. IEEE Access, 7, 84701-84716.
[21] Zadeh L.A., (1965). Fuzzy Sets. Information and Control, 8, 338-353.
[22] Bellman, R.E., Zadeh, L.A. (1970). Decision-making in a fuzzy environment. Management Science, 17(4), 141–164.
[23] Fausti, P., Pompoli, R., Prodi, N. (2003). Comparing the acoustics of mosques and Byzantine churches.
[24] Carvalho, A., Monteiro, C. (2009). Comparison of the Acoustics of Mosques and Catholic Shurches. 16th International Congress on Sound and Vibration 2009, ICSV 2009.
[25] Zhonghua, G., Lau, S. (2017). Acoustic Design for an Auditorium Project. 51st International Conference of the Architectural Science Association (ANZAScA)), pp. 167–176.
[26] Jeong, K., Hong, T., Kim, S.H., Kim, J., Lee, S. (2018). Acoustic Design of a Classical Concert Hall and Evaluation of its Acoustic Performance – A Case Study.
[27] Nowicka, E. (2020). The acoustical assessment of the commercial spaces and buildings. Applied Acoustics 169 (2020) 107491. 10.1016/j.apacoust.2020.107491.
[28] Sert, F. Y., Karaman, Ö. Y. (2021). An Investigation on the Effects of Architectural Features on Acoustical Environment of Historical Mosques. Acoustics, 3(3), 559–580. doi:10.3390/acoustics3030036
[29] Üretmen, N. (1991). Selimiye Camii'nin Akustik İncelemesi.Doktora Tezi, Trakya Üniversitesi, Fen Bilimleri Enstitiüsü, Edirne.
[30] Ardil, C. (1991). Üç Şerefeli Camii'nin Ses Basınç Seviyelerinin İncelenmesi. Yüksek Lisans Tezi, Trakya Üniversitesi, Fen Bilimleri Enstitiüsü, Edirne.
[31] Erdem, A. (1992). Muradiye Camii'nin Akustik Karakteristikleri Üzerine Bir Araştırma. Doktora Tezi, Trakya Üniversitesi, Fen Bilimleri Enstitiüsü, Edirne.
[32] ISO 3382-1. Acoustics. Measurement of Room Acoustic Parameters. Part 1: Performance Spaces; ISO: Geneva, Switzerland, 2009.
[33] DIN18041. Acoustics Quality in Rooms—Specification and Instructions for the Room Acoustics Design;DIN:Berlin, Germany, 2016.
[34] Labia, L., Shtrepi, L., Astolfi, A. (2020). Improved Room Acoustics Quality in Meeting Rooms: Investigation on the Optimal Configurations of Sound-Absorptive and Sound-Diffusive Panels. Acoustics, 2(3), 451–473. doi:10.3390/acoustics2030025
[35] UNI 11532-2. Internal Acoustical Characteristics of Confined Spaces—Design Methods and Evaluation Techniques—Part 2: Educational Sector; UNI: Milan, Italy, 2020.
[36] ISO 3382-1. Acoustics. Measurement of Room Acoustic Parameters. Part 1: Performance Spaces; ISO: Geneva, Switzerland, 2009.
[37] ISO 1996-2. Acoustics—Description, Measurement and Assessment of Environmental Noise—Part 2: Determination of Sound Pressure Levels; ISO: Geneva, Switzerland, 2017.
[38] ISO 1996-2. Acoustics—Description, Measurement and Assessment of Environmental Noise—Part 2: Determination of Sound Pressure Levels; ISO: Geneva, Switzerland, 2017.
[39] ISO 17497. Acoustics Sound Scattering Properties of Surfaces—Part 1: Measurement of the Random-Incidence Scattering Coefficient in a Reverberation Room; ISO: Geneva, Switzerland, 2004.
[40] ISO 354. Acoustics. Measurement of Sound Absorption in a Reverberation Room; ISO: Geneva, Switzerland, 2003.
[41] UNI EN ISO 11654. Acoustics—Sound Absorbers for Use in Buildings—Rating of Sound Absorption; UNI: Milan, Italy, 1998.
[42] AES-4id-2001. AES Information Document for Room Acoustics and Sound Reinforcement Systems—Characterization and Measurement of Surface Scattering Uniformity; AES: New York, NY, USA, 2008.
[43] Beranek, L.L. (2016). Concert hall acoustics: Recent findings. The Journal of the Acoustical Society of America 139, 1548 (2016); https://doi.org/10.1121/1.4944787
@article{"International Journal of Architectural, Civil and Construction Sciences:80623", author = "C. Ardil", title = "Architectural Acoustic Modeling for Predicting Reverberation Time in Room Acoustic Design Using Multiple Criteria Decision Making Analysis", abstract = "This paper presents architectural acoustic modeling to estimate reverberation time in room acoustic design using multiple criteria decision making analysis. First, fundamental decision criteria were determined to evaluate the reverberation time in the room acoustic design problem. Then, the proposed model was applied to a practical decision problem to evaluate and select the optimal room acoustic design model. Finally, the optimal acoustic design of the rooms was analyzed and ranked using a multiple criteria decision making analysis method.
", keywords = "Architectural acoustics, room acoustics, architectural acoustic modeling, reverberation time, room acoustic design, multiple criteria decision making analysis, decision analysis, MCDMA", volume = "15", number = "9", pages = "314-6", }
