@article{
 title = {Erosion of limestone building surfaces caused by wind-driven rain: 2. Numerical modeling},
 type = {article},
 year = {2004},
 pages = {5601-5609},
 volume = {38},
 id = {d62496e7-3657-3782-b633-db4abffa903e},
 created = {2014-10-08T16:28:18.000Z},
 file_attached = {false},
 profile_id = {363623ef-1990-38f1-b354-f5cdaa6548b2},
 group_id = {02267cec-5558-3876-9cfc-78d056bad5b9},
 last_modified = {2017-03-14T17:32:24.802Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {Tang:AE:2004b},
 source_type = {article},
 private_publication = {false},
 abstract = {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. (C) 2004 Elsevier Ltd. All rights
reserved.
C1 Carnegie Mellon Univ, Dept Civil & Environm Engn, Pittsburgh,
PA 15213 USA. Carnegie Mellon Univ, Dept Engn & Publ Policy,
Pittsburgh, PA 15213 USA.},
 bibtype = {article},
 author = {Tang, W and Davidson, C I},
 journal = {Atmos. Environ.}
}

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