Issue
Int. J. Simul. Multidisci. Des. Optim.
Volume 12, 2021
Computation Challenges for engineering problems
Article Number 1
Number of page(s) 8
DOI https://doi.org/10.1051/smdo/2021001
Published online 05 May 2021
  1. J. Cho, Investigation on the contaminant distribution with improved ventilation system in hospital isolation rooms, Appl. Therm. Eng. 148, 208–218 (2019) [Google Scholar]
  2. S.L. Miller, N. Clements, S.A. Elliott, Implementing a negative pressure isolation ward for a surge in airborne infectious patients, Am. J. Infect. Control 45, 652–659 (2017) [Google Scholar]
  3. R. Harish, K. Venkatasubbaiah, Numerical investigation of instability patterns and nonlinear buoyant exchange flow between enclosures by variable density approach, Comput. Fluids 96, 276–287 (2014) [Google Scholar]
  4. P.H. Kao, R.J. Yang, Virus diffusion in isolation rooms, J. Hosp. Infect. 62, 338–345 (2005) [Google Scholar]
  5. J.-M. Huang, S.-M. Tsao, The Influence of air motion on bacteria removal in negative pressure isolation rooms, HVAC&R Res. 11, 563–585 (2005) [Google Scholar]
  6. R. Harish, K. Venkatasubbaiah, Effects of buoyancy induced roof ventilation systems for smoke removal in tunnel fires, Tunn. Undergr. Space Technol. 42, 195–205 (2014) [Google Scholar]
  7. Y.-H. Tsai, G.-H. Wan, Y.-K. Wu, K.-C. Tsao, Airborne severe acute respiratory syndrome coronavirus concentrations in a negative- pressure isolation room, Inspect. Control Hosp. Epidemiol. 27, 523–525 (2006) [Google Scholar]
  8. K. Khankari, Patient room HVAC, Am. Soc. Heat. Refrig. Air Cond. Eng. J. 58, 16–26 (2016) [Google Scholar]
  9. M. Idrus Alhamid, Budihardjo, A. Raymond, Design of the ventilation system and the simulation of air flow in the negative isolation room using FloVent 8.2, AIP Conf. Proc. 1984, 020016 (2018) [Google Scholar]
  10. R. Harish, K. Venkatasubbaiah, Mathematical modeling and computation of fire induced turbulent flow in partial enclosures, Appl. Math. Model. 37, 9732–9746 (2013) [Google Scholar]
  11. W. Guo, X. Liu, X. Yuan, Study on natural ventilation design optimization based on CFDsimulation for green buildings, Procedia Eng. 121, 573–581 (2015) [Google Scholar]
  12. R. Harish, K. Venkatasubbaiah, Large Eddy Simulation of thermal plume behavior in horizontally partitioned dual enclosure, Build. Simul. 8, 137–148 (2014) [Google Scholar]
  13. P. Mahajan, S. Arun Saco, R. Dinesh Kumar, R. Thundil Karuppa Raj, Airflow simulation of an isolationroom using CFD technique, Int. J. Pure Appl. Math. 118, 4261–4269 (2018) [Google Scholar]
  14. K.W.D. Cheong, S.Y. Phua, Development of ventilation design strategy for effective removal of pollutants in the isolation room of a hospital, Build. Environ. 41, 1161–1170 (2006) [Google Scholar]
  15. R. Harish, K. Venkatasubbaiah, Transport phenomena of turbulent fire spread through compartment connected to vertical shaft in tall building, Fire Saf. J. 61, 160–174 (2013) [Google Scholar]
  16. S. Al-Benna, Negative pressure rooms and COVID-19, J. Perioper. Pract. 3, 18–23 (2020) [Google Scholar]
  17. N. Pavelchak, R.P. DePersis, M. London, R. Stricof, M. Oxtoby, G. DiFerdinando, E. Marshall, Identification of factors that disrupt negative air pressurization of respiratory isolation rooms, Infect. Control Hosp. Epidemiol. 21, 191–195 (2000) [Google Scholar]
  18. T.T. Chow, A. Kwan, Z. Lin, W. Bai, Conversion of operating theatre from positive to negative pressure environment, J. Hosp. Infect. 64, 371–378 (2006) [Google Scholar]
  19. T.T. Chow, X.Y. Yang, Ventilation performance in operating theatres against airborne infection: review of research activities and practical guidelines, J. Hosp. Infect. 56, 85–92 (2004) [Google Scholar]
  20. Y.-C. Tung, Y.-C. Shih, S.-C. Hu, Numerical study on the dispersion of airborne contaminants form an isolation room in the case of door opening, Appl. Therm. Eng. 29, 1544–1551 (2009) [Google Scholar]

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