RESEARCH ON OPTIMIZATION OF NATURAL VENTILATION PERFORMANCE OF NATIONAL FITNESS CENTER BUILDINGS BASED ON RESPONSE SURFACE

BAI Xiaowei; LIU Deming; ZHANG Lingling; XIA Baishu

doi:10.13204/j.gyjz202003009

Volume 50 Issue 3

Mar. 2020

Turn off MathJax

Article Contents

Article Navigation > INDUSTRIAL CONSTRUCTION > 2020 > 50(3): 51-57

BAI Xiaowei, LIU Deming, ZHANG Lingling, XIA Baishu. RESEARCH ON OPTIMIZATION OF NATURAL VENTILATION PERFORMANCE OF NATIONAL FITNESS CENTER BUILDINGS BASED ON RESPONSE SURFACE[J]. INDUSTRIAL CONSTRUCTION, 2020, 50(3): 51-57. doi: 10.13204/j.gyjz202003009

Citation:

BAI Xiaowei, LIU Deming, ZHANG Lingling, XIA Baishu. RESEARCH ON OPTIMIZATION OF NATURAL VENTILATION PERFORMANCE OF NATIONAL FITNESS CENTER BUILDINGS BASED ON RESPONSE SURFACE[J]. INDUSTRIAL CONSTRUCTION, 2020, 50(3): 51-57. doi: 10.13204/j.gyjz202003009

Citation:

BAI Xiaowei, LIU Deming, ZHANG Lingling, XIA Baishu. RESEARCH ON OPTIMIZATION OF NATURAL VENTILATION PERFORMANCE OF NATIONAL FITNESS CENTER BUILDINGS BASED ON RESPONSE SURFACE[J]. INDUSTRIAL CONSTRUCTION, 2020, 50(3): 51-57. doi: 10.13204/j.gyjz202003009

PDF( 3774 KB)

RESEARCH ON OPTIMIZATION OF NATURAL VENTILATION PERFORMANCE OF NATIONAL FITNESS CENTER BUILDINGS BASED ON RESPONSE SURFACE

doi: 10.13204/j.gyjz202003009

1. School of Architecture, Harbin Institute of Technology, Harbin 150006, China;
2. School of Architecture and Urban Planning, Shenyang Jianzhu University, Shenyang 110168, China;
3. Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology, Ministry of Industry and Information Technology, Harbin 150090, China

Received Date: 2019-10-10

Abstract

Abstract

Based on the analysis of the characteristics of existing natural ventilation performance optimization methods, the optimization process based on response surface suitable for design stage was proposed. The core steps were: parameter sensitivity analysis, experimental design, response surface model construction, multi-objective optimization, and collaborative optimization platform was established by using ANSYS Workbench. Taking the typical space model of the National Fitness Center as an example, 11 geometric parameters were explored as input variables, and the air age, temperature and wind speed were selected as the optimization targets. By using the parametric modeling technology and CFD numerical simulation technology, 200 sets of data were obtained, and the response surface model was constructed by Kriging algorithm. The genetic algorithm was used to call the response surface model data for fast optimization, and finally the optimization candidates and the optimization interval of each geometric parameter were obtained.
- response surface,
- natural ventilation performance optimization,
- CFD numerical simulation,
- multi-objective genetic algorithm,
- the National Fitness Center

FullText(HTML)

References(12)

References

谭子龙.基于建筑风环境分析的Grasshopper与Fluent接口技术研究[D].南京:南京大学,2016.

KARAGKOUNI C, SCHIECK A F, TSIGKARI M,et al.Facade Apertures Optimization:Integrating Cross-Ventilation Performance Analysis in Fluid Dynamics Simulation[C]//Orlando:Symposium on Simulation for Architecture and Urban Sign,2013.

KYLE K,ALEJANNDRO G,KAREN K.Passive Performance and Building Form-An Optimization Framework for Early-Stage Design Support[J].Solar Energy,2016,125(2):161-179.

WANG B, MALKAWI A.Genetic Algorithm based Building Form Optimization Study for Natural Ventilation Potential[C].Proceedings of BS,2015:640-647.

吉国华.参数化图解与性能化设计[J].时代建筑,2016(5):44-47.

MENICOVICH D,GALLARDO D, BEVILAQUA R,et al.Generation and Integration of an Aerodynamic Performance Database within the Concept Design Phase of Tall Buildings[C]//San Francisco:ACADIA 2012. 2012.

袁烽.从图解思维到数字建造[M].上海:同济大学出版社,2016.

BOX G E P,WILSON K B.On the Experiment Attainment of Optimum Conditions[J].Journal of the Royal Statistical Society Series B,1951,13(3):1-45.

刘文卿.试验设计[M].北京:清华大学出版社,2005.

LOEPPKY J L, SACKS J, WELCH W J.Choosing the Sample Size of a Computer Experiment:A Practical Guide[J].Technometrics,2009(51):366-376.

CAVAZZUTI M. Optimization Methods:from Theory to Design[M]. Berlin:Spring-Verlag,2013.

李坚. 代理模型近似技术研究及其在结构可靠度分析中的作用[D]. 上海:上海交通大学,2013.

Relative Articles

Supplements(0)

Cited By

Proportional views