Strategy on applying computational fluid dynamic for building performance evaluation

被引:16
|
作者
Tsou, JY [1 ]
机构
[1] Chinese Univ Hong Kong, Dept Architecture, Hong Kong, Hong Kong, Peoples R China
关键词
D O I
10.1016/S0926-5805(00)00049-2
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Predicting and evaluating building performance plays an important role in the training of responsible architects. Building performance includes issues such as: structural stability, acoustic quality, natural lighting, thermal comfort, and ventilation and indoor air quality. These types of analyses are often laborious, non-intuitive, and non-graphical. As a result, these important issues do not arouse the enthusiasm of architecture students or building professionals. The Chinese University of Hong Kong (CUHK) research team proposes to explore and develop a long-term strategy to apply scientific visualization on teaching and research in environmental technology and building performance. This paper presents the development process and results of research projects for applying computational fluid dynamics (CFD) on building performance evaluation. CFD On-line Teaching project's aim is to develop a web-based training course for architecture students to apply CFD simulation on design problem solving. Each lesson not only illustrates basic principles regarding airflow in the building design, it also contains CFD sample files with predefined flow cells for students to test different concepts. GiLin Temple project's aim is to apply CFD simulation on investigating the wind resistance of Tong Dynasty heavy timber structure. Airflow information generated in the project includes the visual representation of the pressure distribution and velocity field on all slices through the temple, and the tracking of particles as they flow around or through a building. The China housing residential airduct study focuses on simulating the indoor airflow regarding the airduct design of China Experimental Urban Housing Scheme. The visual representation of the pressure distribution and velocity field in the airducts provides vital information for helping China Housing Research Center improve the current design. (C) 2001 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:327 / 335
页数:9
相关论文
共 50 条
  • [1] Studying the impact of monitoring strategy on disinfection performance evaluation with computational fluid dynamics
    Zhang, J.
    Wicklein, E.
    [J]. URBAN WATER JOURNAL, 2024, 21 (03) : 285 - 294
  • [2] Evaluation of Dynamic Derivatives Using Computational Fluid Dynamics
    Da Ronch, A.
    Vallespin, D.
    Ghoreyshi, M.
    Badcock, K. J.
    [J]. AIAA JOURNAL, 2012, 50 (02) : 470 - 484
  • [3] Integrated and distributed computational support for building performance evaluation
    Lam, KP
    Mahdavi, S
    Gupta, S
    Wong, NH
    Brahme, R
    Kang, Z
    [J]. ADVANCES IN ENGINEERING SOFTWARE, 2002, 33 (04) : 199 - 206
  • [4] Computational fluid dynamics evaluation of excessive dynamic airway collapse
    Taherian, Shahab
    Rahai, Hamid
    Gomez, Bernardo
    Waddington, Thomas
    Mazdisnian, Farhad
    [J]. CLINICAL BIOMECHANICS, 2017, 50 : 145 - 153
  • [5] Evaluation of Preduster in Cement Industry Based on Computational Fluid Dynamic
    Septiani, E. L.
    Widiyastuti, W.
    Djafaar, A.
    Ghozali, I.
    Pribadi, H. M.
    [J]. 5TH ASIA CONFERENCE ON MECHANICAL AND MATERIALS ENGINEERING (ACMME 2017), 2017, 241
  • [6] Applying Computational Fluid Dynamics Technology in Bioprocesses
    Fang, Zhiwu
    [J]. BIOPHARM INTERNATIONAL, 2010, 23 (05) : 42 - +
  • [7] Applying Computational Fluid Dynamics Technology in Bioprocesses
    Fang, Zhiwu
    [J]. BIOPHARM INTERNATIONAL, 2010, 23 (04) : 38 - +
  • [8] Computational fluid dynamics performance evaluation of grooved fins for surfboards
    Alhoush Elshahomi
    Buyung Kosasih
    Grant Barnsley
    Stephen Beirne
    James Forsyth
    Julie R. Steele
    Marc in het Panhuis
    [J]. MRS Advances, 2022, 7 : 695 - 700
  • [9] Computational fluid dynamics performance evaluation of grooved fins for surfboards
    Elshahomi, Alhoush
    Kosasih, Buyung
    Barnsley, Grant
    Beirne, Stephen
    Forsyth, James
    Steele, Julie R.
    Panhuis, Marc In Het
    [J]. MRS ADVANCES, 2022, 7 (30) : 695 - 700
  • [10] APPLYING COMPUTATIONAL FLUID DYNAMICS METHODOLOGIES TO HYDRO-DYNAMIC LOADS IN THE SUPPRESSION POOL OF A BWR
    Mauritzson, David
    Perzon, Sven
    Probed, Thomas
    [J]. PROCEEDINGS OF THE 26TH INTERNATIONAL CONFERENCE ON NUCLEAR ENGINEERING, 2018, VOL 6B, 2018,