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Application of acoustic analysis with BIM and prediction of reverberation time

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Building Information Modeling (BIM) enables collaborative data transfer between architects and engineers throughout the entire building's life cycle. While BIM examines physical parameters and management processes, it presents challenges in architectural acoustic analysis. This study aims to evaluate acoustic effects and perform room acoustic analyses in BIM tools that enable significant productivity gains in the construction industry and digitally support the planning, construction, and operation of structures. The research focuses on the prediction of the reverberation time, which is a main acoustics parameter. The literature review was conducted with a comprehensive bibliometric analysis. Using Autodesk Ecotect, acoustic analyses were performed on an educational building as a case study. Reverberation times were calculated at mid-frequencies (500, 1000, 2000 Hz) in 1/3 octave bands. Suggestions to reduce high reverberation times due to reflective room conditions were developed and tested within the BIM tool. In conclusion, it was emphasized that design/renovation/improvement scenarios for acoustic analysis can be tested with BIM. It has been determined that the determination of the level of effect of other components with acoustic treatments made on BIM platforms can also provide added value to the projects designed according to outsourcing acoustic software.
Rocznik
Strony
87--95
Opis fizyczny
Bibliogr. 32 poz.
Twórcy
  • PhD; Ondokuz Mayis University, Faculty of Architecture, Department of Architecture, Samsun, Türkiye
Bibliografia
  • [1] Rathnasiri, P., Jayasena, S., & Siriwardena, M. (2021). Assessing the applicability of green building information modelling for existing green buildings. International Journal of Design & Nature and Ecodynamics, 15(6), 763-776.
  • [2] Waqar, A., Othman, I., Saad, N., Azab, M., & Khan, A.M. (2023). BIM in green building: Enhancing sustainability in the small construction project. Cleaner Environmental Systems, 11, 100149.
  • [3] Brígitte, G.T.N., & Ruschel, R.C. (2013). Integrated model supporting environmental performance sımulations in the early stages of building design. Proceedings of 13th International Conference of the International-Building-Performance-Simulation-Association, (IBPSA), Chambery, France.
  • [4] Zheng, L., Lu, W., Wu, L., & Zhou, Q. (2023). A review of integration between BIM and CFD for building outdoor environment simulation. Building and Environment, 228, 109862.
  • [5] Rindel, J.H. (2002). Modelling in auditorium acoustics - From ripple tank and scale models to computer simulations. Proceedings of Forum Acusticum, KL-04, Sevilla.
  • [6] Wu, C., & Clayton, M.J. (2013). BIM-based acoustic simulation framework. Proceedings of 30th CIB W78 International Conference, Beijing, China, 99-108.
  • [7] Kim, S., Coffeen, R.C., & Sanguinetti, P. (2013). Interoperability Building Information Modeling and acoustical analysis software - A demonstration of a performing arts hall design process. Proceedings of Meetings on Acoustics, 19, Presented at the ICA 2013, Montreal, Canada: Acoustical Society of America.
  • [8] Moral, A.L. (2020). Acoustic integration in BIM models. Proceedings of 49th International Congress and Exposition on Noise Control Engineering, Seoul, Korea.
  • [9] Nik-Bakht, M., Lee, J., & Dehkordi, S.H. (2021). BIM-based reverberation time analysis. Journal of Information Technology in Construction (ITcon), 26, 28-38.
  • [10] De Bellis, N. (2009). Bibliometrics and citation analysis: From the science citation index to cybermetrics. Scarecrow Press, USA.
  • [11] Churruca, K., Pomare, C., Ellis, L.A., Long, J.C., & Braithwaite, J. (2019). The influence of complexity: A bibliometric analysis of complexity science in healthcare, BMJ Open, 9(3), e027308.
  • [12] Chang, Y.T., & Hsieh S.H. (2020). A review of Building Information Modeling research for green building design through building performance analysis. Journal of Information Technology in Construction (ITcon), 25, 1-40.
  • [13] Azhar, S., & Brown, J. (2009). BIM for sustainability analyses. International Journal of Construction Education and Research, 5(4), 276-292.
  • [14] de la Hoz-Torres, M.L., Aguilar, A.J., Martínez-Aires, M.D., & Ruiz, D.P. (2022). Modelling and visualization for the analysis and comprehension of the acoustic performance of buildings through the implementation of a building information modelling-based methodology. Journal of the Acoustical Society of America, 152(3), 1515-1527.
  • [15] Sušnik, M., Tagliabue, L.C., & Cairoli, M. (2021). BIM-based energy and acoustic analysis through CVE tools. Energy Reports, 7, 8228-8237.
  • [16] Erfani, K., Mahabadipour, S., Nik-Bakht, M., & Li J. (2019). BIM-based simulation for analysis of reverberation time. Proceedings of the 16th IBPSA Conference, Rome, Italy.
  • [17] Butorina M., Drozdova, L., Kuklin, D., Sharkov, A., Aref'ev, K., Sopozhnikov, S., Topazh, G., Lyamaev, B., Nagornyy, V., Simonov, A., & Muhametova, L. (2019). Implementation of noise data into building information model (BIM) to reduce noise in the environment and at workplace. Proceedings of IOP Conference Series: Earth Environmental Science, 337, 012083.
  • [18] Jung, N., Häkkinen, T., & Rekola, M. (2018). Extending capabilities of BIM to support performance based design. Journal of Information Technology in Construction (ITcon), 23, 16-52.
  • [19] Pääkkönen, R., Vehviläinen, T., Jokitulppo, J., Niemi, O., Nenonen, S., & Vinha, J. (2015). Acoustics and new learning environment - A case study. Applied Acoustics, 100, 74-78.
  • [20] 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.
  • [21] Sarlati, S., Haron, Z., Yahya, K., Darus, N., Dimon, N., & Athari, P. (2014). The importance of acoustic quality in classroom. Jurnal Teknologi, 70(7), 71-76.
  • [22] Garcia, D.P., Rasmussen, B., & Brunskog, J. (2014). Classroom acoustics design for speakers’ comfort and speech intelligibility: A European perspective. Proceedings of Forum Acusticum, Krakow, Poland.
  • [23] Rosenberg, G.G. (2010). Classroom acoustics. Seminars in Hearing, 31(3), 188-202.
  • [24] Trisnawan, D. (2018). Ecotect design simulation on existing building to enhance its energy efficiency. Proceedings of IOP Conference Series: Earth Environmental Science, 105, 012117.
  • [25] Amani, N., & Reza Soroush, A.A. (2021). Building energy management using building ınformation modeling: Evaluation of building components and construction materials. Journal of Renewable Energy and Environment, 8(2), 31-38.
  • [26] Carlos, J.S. (2017). The impact of refurbished windows on Portuguese old school buildings. Architectural Engineering and Design Management, 13(3), 185-201.
  • [27] Crawley D.B., Hand J.W., Kummert M., & Griffith B.T. (2008). Contrasting the capabilities of building energy performance simulation programs. Building and Environment, 43(4), 661-673.
  • [28] Riether, G., & Butler, T. (2008). Simulation space: A new design environment for architects. Section 03: Prediction and Evaluation 1 - eCAADe, 26, 133-142.
  • [29] Shih, H.Y., Chou, Y.T., & Hsia, S.Y. (2016). Improvement on acoustic characteristics of a small space using material selection. Engineering Computations, 33(6), 1800-1809.
  • [30] Vasov, M., Cvetković, D., Bogdanović, V., & Bjelić, I. (2017). Assessment of reliability predictions of the reverberation time by using the architectonic software package Ecotect. FACTA UNIVERSITATIS Series: Architecture and Civil Engineering, 15(3), 359-370.
  • [31] Tokuc, A. (2009). Building energy simulation tools and selection criteria. Dokuz Eylül University Faculty of Engineering Journal of Science and Engineering, 5(3), 19-30.
  • [32] Ali, S.R., Mahdjoubi, L., Khan, A., & Sohail, F. (2016). A comperative study of ECOTECT, EngeryPlus & DAIlux (building energy lighting simulation) tools. Journal of Multidisciplinary Engineering Science and Technology, 3(2), 3869-3873.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-09b5bd12-84de-44e1-9b45-dcc035b26759
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