Abstract
To reduce the potential risk of airborne infectious diseases during an outbreak or to detect a chemical/biological release by a terrorist, it is essential to place appropriate chemical/biological sensors in commercial airliner cabins. This investigation studied sensor responses along the length of a fully occupied twin-aisle cabin with 210 seats by using a validated Computational Fluid Dynamics (CFD) program. The results revealed that seating arrangements can make cross sectional airflow pattern considerably asymmetrical. The trends of longitudinal contaminant transport in the business and economy classes were similar. The presence of galleys greatly affected the longitudinal transport of contaminants in a particular cabin section. The effects due to galleys is significantly reduced using a multiport sampling system. Multiport sampling systems also reduce the number of contaminant identification sensors required in a cabin considerably.
| Original language | English |
|---|---|
| Pages | 854-861 |
| Number of pages | 8 |
| Publication status | Published - 2007 |
| Event | Building Simulation 2007, BS 2007 - Beijing, China Duration: 3 Sept 2007 → 6 Sept 2007 |
Conference
| Conference | Building Simulation 2007, BS 2007 |
|---|---|
| Country/Territory | China |
| City | Beijing |
| Period | 3/09/07 → 6/09/07 |
Keywords
- CFD
- Computer simulation
- Experimental measurements
- Sensor placement
- Validation
ASJC Scopus subject areas
- Computer Science Applications
- Building and Construction
- Architecture
- Modelling and Simulation
