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Computational methods in industrial ventilation.
Department of Environmental Sciences and Engineering, School of Public Health, University of North Carolina, Chapel Hill, North Carolina 1995 Sep; :1-51
An existing computer code was expanded to predict air flow patterns around workers and obstacles, to develop models of exposure from these flow fields, and to conduct flow visualization and tracer experiments using a mannequin and a wind tunnel in order to validate the computer predictions of exposure. The two dimensional discrete vortex method for the time dependent velocity field around an ellipse in a uniform free stream was successfully expanded to include multiple objects in the flow. The concept of numerical flow visualization was introduced as an analytical tool. A particle tracking algorithm was introduced into the code to predict the time dependent concentration field and integrate this field over various regions in both space and time providing exposure estimates when appropriate computational breathing zones are identified. The experimental examinations of velocity and concentration fields were in good agreement with the numerical predictions made. Enough of the primary contaminant transport mechanisms data was captured by the computer model to allow reasonable quantitative estimates of exposure for a static three dimensional experiment with a box and mannequin in the wind tunnel. The vortex method was able to capture the evolution of the particularly large scale eddies responsible for contaminant transport in the vicinity of workers.
NIOSH-Grant; Control-technology; Indoor-air-pollution; Air-flow; Air-quality-control; Mathematical-models; Industrial-hygiene; Indoor-environmental-quality
Environmental Sciences & Engr University of North Carolina CB 7400 Rosenau Chapel Hill, NC 27599-7400
Final Grant Report
NTIS Accession No.
Department of Environmental Sciences and Engineering, School of Public Health, University of North Carolina, Chapel Hill, North Carolina
University of North Carolina Chapel Hill, Chapel Hill, North Carolina
Page last reviewed: April 12, 2019
Content source: National Institute for Occupational Safety and Health Education and Information Division