Computational Fluid Dynamics

Details

• Corporate Authors:
  National Institute for Occupational Safety and Health. Division of Surveillance, Hazard Evaluations, and Field Studies
• Description:
  Exposure to hazardous air contaminants affects an estimated 35 million United States workers. Computational Fluid Dynamics provides a practical, efficient, and cost effective means of investigating air contaminant exposure and evaluating prevention strategies. The technique can supplement traditional methods such as air sampling and basic ventilation calculations. The National Institute for Occupational Safety and Health is currently leading Computational Fluid Dynamics research in the following areas: 1. Investigating aircraft cabin disease transmission through the prediction of aerosol dispersion; 2. Evaluating the effectiveness of certain engineering controls in construction, manufacturing and transportation industries; 3. Understanding the behavior of air flows inside sampling and measurement devices to improve exposure assessment accuracy; 4. Detecting and analyzing chemical and biological threats. Using Computational Fluid Dynamics, researchers and occupational health and safety professionals can identify exposure regions, devise methods for preventing exposure, and improve exposure assessment accuracy.
• Subjects:
  Aerosols Air-contamination Airborne-particles Aircraft Aircrews Construction-industry Disease-transmission Disease-vectors Engineering-controls Exposure-assessment Infectious-diseases Transportation-industry

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• Source:
  DHHS publication ; no. (NIOSH) 2012-175
• Series:
  NIOSH Numbered Publications
• Document Type:
  Text
• Genre:
  Fact Sheet
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Pages in Document:
  1 unnumbered page
• NIOSHTIC Number:
  nn:20041792
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:1300b7e76672be3d3716fdde83f8b6f5611e5bf55d636d0955b3aec522a894507b101b2e6272c55adb0e136a52ffec608c2b16611037c6209ab2c3772616ad23
• Download URL:
  https://stacks.cdc.gov/view/cdc/21559/cdc_21559_DS1.pdf
• File Type:
  [PDF - 411.69 KB ]