TY - JOUR
T1 - Erosion of limestone building surfaces caused by wind-driven rain
T2 - 2. Numerical modeling
AU - Tang, Wei
AU - Davidson, Cliff I.
N1 - Funding Information:
This work was funded by US National Park Service Cooperative Agreements CA042419005 and 1443CA00196035. We acknowledge the Pittsburgh Supercomputing Center for providing the computation resources under Grant ENG01002P. Thanks are due to V. Etyemezian for his valuable suggestions in the earlier stages of this work. We are grateful to C. Yeske for providing technical support. Special thanks go to S.N. Pandis, M.J. Small, and A.L. Robinson at CMU, and to M.F. Striegel (National Park Service) and S.I. Sherwood (formerly of the National Park Service) for their insights and suggestions during the various phases of this work.
Copyright:
Copyright 2012 Elsevier B.V., All rights reserved.
PY - 2004/10
Y1 - 2004/10
N2 - Wind-driven rain and its effect on surface stone deterioration have been studied at the Cathedral of Learning, a tall limestone building on the University of Pittsburgh campus. In this second paper of the series, a numerical method based on computational fluid dynamics techniques is used to predict wind-driven rain on the Cathedral. Three steps are involved: computing the airflow field around the building, determining raindrop trajectories, and estimating total rain impingement based on meteorological data. Results are expressed in terms of the Catch Ratio, the flux of rain on the building walls divided by the flux of rain on the ground. The method is applied to 94 rain events during the measurement period. Results show good agreement with field data, indicating that the method can provide reasonable predictions of wind-driven rain.
AB - Wind-driven rain and its effect on surface stone deterioration have been studied at the Cathedral of Learning, a tall limestone building on the University of Pittsburgh campus. In this second paper of the series, a numerical method based on computational fluid dynamics techniques is used to predict wind-driven rain on the Cathedral. Three steps are involved: computing the airflow field around the building, determining raindrop trajectories, and estimating total rain impingement based on meteorological data. Results are expressed in terms of the Catch Ratio, the flux of rain on the building walls divided by the flux of rain on the ground. The method is applied to 94 rain events during the measurement period. Results show good agreement with field data, indicating that the method can provide reasonable predictions of wind-driven rain.
KW - Airflow field
KW - CFD
KW - Driving rain
KW - Raindrop trajectories
KW - Soiling
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U2 - 10.1016/j.atmosenv.2004.06.014
DO - 10.1016/j.atmosenv.2004.06.014
M3 - Article
AN - SCOPUS:4644291563
VL - 38
SP - 5601
EP - 5609
JO - Atmospheric Environment
JF - Atmospheric Environment
SN - 1352-2310
IS - 33
ER -