Predicting the pressure coefficients in a naturally ventilated test room using artificial neural networks-Reference-Cited by-同舟云学术

Predicting the pressure coefficients in a naturally ventilated test room using artificial neural networks

Published:2003-03 Issue:3 Volume:38 Page:399-407
ISSN:0360-1323
Container-title:Building and Environment
language:en
Short-container-title:Building and Environment

Author:

Kalogirou Soteris,Eftekhari Mahroo,Marjanovic Ljiljana

Publisher

Elsevier BV

Subject

Building and Construction,Geography, Planning and Development,Civil and Structural Engineering,Environmental Engineering

Reference24 articles.

1. Kula HG, Feustel HE. Review of wind pressure distribution as input data for infiltration models. Report LBL-23886, Lawrence Berkeley Laboratory, Berkeley, CA, 1988.

2. Proceedings Technical Note AIC 13.1. Air Infiltration and Ventilation Centre, Bracknell, UK, November 1984.

3. Allen C. Wind pressure data requirements for air infiltration calculations. Technical Note AIC 13, Air Infiltration and Ventilation Centre, Bracknell, UK, January 1984.

4. Wind pressure distribution around buildings;Grosso;Energy and Buildings,1992

5. Eftekhari MM, Pinnock DJ. Natural ventilation: air flow measurements in a light weight test room. Proceedings of CIBSE A: Building Services Engineering Research and Technology 1998;19(1):37–42.

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