| id |
caadria2016_209 |
| authors |
Wang, Likai; Zilong Tan and Guohua Ji |
| year |
2016 |
| title |
Toward the wind-related building performative design |
| source |
Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 109-218 |
| doi |
https://doi.org/10.52842/conf.caadria.2016.109
|
| summary |
The integration of optimization algorithms and building performance simulation tools make it possible to carry out performa- tive design or performance-driven design, which aims to guide the de- sign synthesis process of the simulation results to continuously im- prove the design. However, the associated research work of wind- related building performance is still deficient, resulting from lack of applicable interface and the time consumption. Meanwhile, in the in- dustrial design realm, the aero-dynamics or fluid-dynamics behaviour of the production under development has been vastly analysed and op- timized based on the multi-discipline optimization (MDO) techniques. Owing to offering numerous built-in interface and integrated optimi- zation algorithm, MDO application software has begun to be used in building optimization design with the complex relationship between various objectives. With the advantage of MDO tools and aimed to provide an efficient optimization approach from the perspective of ar- chitect, this paper proposes a wind-related building performance op- timization design system integrating Rhinoceros and Fluent based on iSIGHT - a MDO application software. In addition, the lighting per- formance is considered in this research as well for implementing the multi-objective optimization. Two case studies of tall building optimi- zation design based on varied generative approaches are introduced to investigate the effect and efficiency of this system. |
| keywords |
Performative design; wind-related building performance; MDO; parametric generating design |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (1,340,385 bytes) |
| references |
Content-type: text/plain
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Chronis, A., Turner, A., and Tsigkari, M. (2011)
 April, Generative Fluid Dynamics: Integration of Fast Fluid Dynamics and Genetic Algorithms for wind loading optimization of a free form surface
, 2011 Symposium on Simulation for Architecture and Urban Design, 29–36
|
|
|
|
|
Gerber, D. J., Lin, S. H., Pan, B., & Solmaz, A. S. (2012)
Design optioneering: multidisciplinary design optimization through parameterization, domain integration and automation of a genetic algorithm
, SimAUD '12, Orlando, 23–30
|
|
|
|
|
Hu, X., Chen, X., Zhao, Y., and Yao, W. (2013)
Optimization design of satellite separation systems based on multi-island genetic algorithm
, Advances in Space Research, 53(5), 870–876
|
|
|
|
|
Karagkouni, C., Schieck, A, F, G., Tsigkari, M., and Chronis, A. (2014)
Performance-driven facades: analysis of natural cross-ventilation in an indoor environment with fast fluid dynamics and apertures optimization basedon a genetic algorithm
, Simulation Transactions of the Society for Modeling and Simulation International, 90(8), 978–990
|
|
|
|
|
Kolarevic, B. and Malkawi, A. M. (2005)
Performative architecture: beyond instrumentality
, Spon Press, New York
|
|
|
|
|
Nguyen, A, T., Reiter, S., and Rigo, P. (2014)
A review on simulation-based optimization methods applied to building performance analysis
, Applied Energy, 113(6), 1043–1058
|
|
|
|
|
Oxman, R. (2009)
Performative design: a performance-based model of digital architectural design
, Environment & Planning B Planning & Design, 36(6), 1026–1037
|
|
|
|
|
Shi, X., and Yang, W. (2013)
Performance-driven architectural design and optimization technique from a perspective of architects
, Automation in Construction, 32(4), 125–135
|
|
|
|
|
Wilkinson, S., & Hanna, S. (2014)
Approximating computational fluid dynamics for generative tall building design
, International Journal of Architectural Computing, 12(2), 155–178
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| last changed |
2022/06/07 07:58 |
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