Designing a Concert Hall in a Repurposed Grain Elevator in Płock: A Digital Optimization Approach
to Interior Form-Finding
1
Szkoła Doktorska Politechniki Warszawskiej, Politechnika Warszawska, Polska
2
Katedra Projektowania Architektonicznego / Pracownia Projektowania Architektonicznego Wspomaganego Komputerem, Wydział Architektury Politechniki Warszawskiej, Polska
These authors had equal contribution to this work
Submission date: 2025-06-26
Final revision date: 2025-08-24
Acceptance date: 2025-09-01
Publication date: 2026-03-17
Corresponding author
KAiU 2025;LXX(2):4-32
KEYWORDS
acoustic optimisationparametric modellinggenerative processesconcert hall designarchitectural acousticsspatial variants iterations
TOPICS
ABSTRACT
The study presented in this paper was carried out to verify the eff ectiveness of the individually developed acoustic optimisation method. Documentation and own measurements of an existing post-industrial building – a grain elevator in Płock – were used. The method of iterative search for the geometric form of the interior was used to design a concert hall inscribed in its structure. The criteria for assessing the quality of the generated solutions were the acoustic parameters obtained (reverberation, initial time delay gap, uniform coverage of the auditorium with reflected sound, and the quotient of the hall volume and the number of seats in the auditorium). As a result of the optimisation, variants of the auditorium’s interior design were created. These were evaluated against reference architectural realisations. The results of the study allowed the authors to confirm the effectiveness of the method (the optimisation results were in line with the reference halls in many points). They also provided a picture of the existing limitations, being a premise for further improvements to the method. The authors intend to use the results in further work on parameterisation of architectural models and on the use of generative engines in optimisation. In the longer term, after refinement, there is a chance to use the method in real creative activities.
REFERENCES (29)
1.
Allen J.B., Berkley D.A., Image method for efficiently simulating small-room acoustics, „The Journal of the Acoustical Society of America”, 1979, t. 65, z. 4, DOI: 10.1121/1.382599.
2.
Badino E., Shtrepi L., Astolfi A., Acoustic Performance-Based Design: A Brief Overview of the Opportunities and Limits in Current Practice, „Acoustics”, 2020, t. 2, z. 2, DOI: 10.3390/acoustics2020016.
3.
Barron M., Auditorium Acoustics and Architectural Design, London, New York 2009, DOI: 10.4324/9780203874226.
4.
Becker R., Fundamentals of performance-based building design, „Building Simulation”, 2008, t. 1, z. 4, DOI: 10.1007/s12273-008-8527-8.
5.
Beranek L., Concert Halls and Opera Houses: Music, Acoustics, and Architecture, New York 2004.
6.
Beranek L.L., Hidaka T., Sound absorption in concert halls by seats, occupied and unoccupied, and by the hall’s interior surfaces, „The Journal of the Acoustical Society of America”, 1998, t. 104, z. 6, DOI: 10.1121/1.423957.
7.
Deb K., Agrawal S., Pratap A., Meyarivan T., A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimization: NSGA-II, „Parallel Problem Solving from Nature PPSN VI. 6th International Conference, Paris, France, September 18-20 2000 Proceedings”, red. M. Schoenauer, K. Deb, G. Rudolph, X. Yao, E. Lutton, J.J. Merelo, H.P. Schwefel, Berlin, Heidelberg, 2000 DOI: 10.1007/3-540-45356-3_83.
8.
Dino I.G., Creative Design Exploration by Parametric Generative Systems in Architecture, „METU Journal of the Faculty of Architecture”, 2012, t. 29, z. 1, DOI: 10.4305/METU.JFA.2012.1.12.
9.
Hlebowicz J., Zastosowanie algorytmów genetycznych przy projektowaniu sal koncertowych w istniejących kubaturach. Adaptacja Elewatora Zbożowego w Płocku na salę koncertową, praca magisterska wykonana pod kierunkiem prof. dr hab. inż. arch. Jana Słyka na Wydziale Architektury Politechniki Warszawskiej (WAPW), Warszawa 2024, mps w zbiorach biblioteki WAPW.
10.
Holland J.H., Adaptation in natural and artifi cial systems: an introductory analysis with applications to biology, control, and artificial intelligence, Cambridge MA 1992 Jouan S., Randrianoelina A., LG Arts Centre, Seoul, South Korea Conception of a Performing Art Centre in South Korea and Cultural Differences, „Proceedings of the Institute of Acoustics”, 2018.
11.
Jung N., Hakkinen T., Rekola M., Extending Capabilities Bim to Support Performance Based Design, „Journal of Information Technology in Construction”, 2018, t. 23, z. 2 Kennedy J., Swarm intelligence, w: Handbook of nature-inspired and innovative computing: integrating classical models with emerging technologies, Sydney 2006.
12.
Krish S., A practical generative design method, „Computer-Aided Design”, 2011, t. 43, z. 1, DOI: 10.1016/j.cad.2010.09.009.
13.
Krokstad A., Strom S., Sørsdal S., Calculating the acoustical room response by the use of a ray tracing technique, „Journal of Sound and Vibration”, 1968, t. 8, z. 1, DOI: 10.1016/0022-460X(68)90198-3.
14.
Lindenmayer A., Mathematical models for cellular interactions in development I. Filaments with onesided inputs, „Journal of Theoretical Biology”, 1968, t. 18, z. 3, DOI: 10.1016/0022-5193(68)90079-9.
15.
Lindenmayer A., Rozenberg G., Developmental systems and languages, „Proceedings of the fourth annual ACM symposium on Theory of computing - STOC ’72”, Denver, Colorado, United States, 1972, DOI: 10.1145/800152.804917.
16.
Long M., Architectural Acoustics, Burlington, San Diego, London 2005 Lu S., Yan X., Xu W., Chen Y., Liu J., Improving auditorium designs with rapid feedback by integrating parametric models and acoustic simulation, „Building Simulation”, 2016, t. 9, z. 3, DOI: 10.1007/ s12273-015-0268-x.
17.
Mitchell M., An Introduction to Genetic Algorithms, Cambridge MA-London 1998, DOI: 10.7551/ MITPRESS/3927.001.0001.
18.
Neumann von J., The general and logical theory of automata, w: Systems research for behavioral science, (b.m.) 2017.
19.
Orlowski R., The historical use of models in the acoustic design of buildings, w: Physical Models Their Historical and Current Use in Civil and Building Engineering Design, Berlin 2020, DOI: 10.1002/9783433609613.ch26.
20.
Orłowska M., Rekordowe 13 pięter... Tajemnice najwyższego budynku i najstarszej windy, „Gazeta Wyborcza - Tygodnik Płock”, 04.02.2016.
21.
Oxman R., Performance-Based Design: Current Practices and Research Issues, „International Journal of Architectural Computing”, 2008, t. 6, z. 1, DOI: 10.1260/147807708784640090.
22.
Oxman R., Th e thinking eye: visual re-cognition in design emergence, „Design Studies”, 2002, t. 23, z. 2, DOI: 10.1016/S0142-694X(01)00026-6 Pollio V., The Ten Books on Architecture: De Architectura, tłum. na jęz. angielski M. Morgan, Scotts Valley 2018.
23.
Practical Handbook of Genetic Algorithms: New Frontiers, red. Chambers L., Boca Raton 2019, DOI: 10.1201/9780429128332.
24.
Sato S., Otori K., Takizawa A., Sakai H., Ando Y., Kawamura H., Applying Genetic Algorithms to the Optimum Design of a Concert Hall, „Journal of Sound and Vibration”, 2002, t. 258, z. 3, DOI: 10.1006/ jsvi.2002.5273.
25.
Serafimowicz W., Z dziejów budownictwa w Płocku: inwestorzy, projektanci, wykonawcy, Płock 2008.
26.
Singh V., Gu N., Towards an integrated generative design framework, „Design Studies”, 2012, t. 33, z. 2, DOI: 10.1016/j.destud.2011.06.001.
27.
Stiny G., Mitchell W.J., The grammar of paradise: on the generation of Mughul gardens, „Environment and Planning B: Planning and Design”,1980, t. 7, z. 2, DOI: 10.1068/b070209.
28.
Wilson G.P., Structure Borne Noise and Vibration Control in Performing Arts Facilities, „International Congress and Exposition on Noise Control Engineering 2012, INTER-NOISE”, 2012.
29.
Wolfram S., Gad-el-Hak M., A New Kind of Science, „Applied Mechanics Reviews”, 2003, t. 56, z. 2, DOI: 10.1115/1.1553433.
| eISSN: | 2657-6864 |
| ISSN: | 0023-5865 |
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