Supercomputer Modelling of Human Respiration Using Virtual Thermal Manikin Under Test Conditions

• Published in: Lobachevskii journal of mathematics Vol. 43; no. 10; pp. 2877 - 2886
• Main Authors: Podmarkova, A. D., Zasimova, M. A., Ivanov, N. G., Ris, V. V., Abramov, A. G.
• Format: Journal Article
• Language: English
• Published: Moscow Pleiades Publishing 01.10.2022; Springer Nature B.V
• Subjects: Air flow; Algebra; Analysis; Breathing; Exhalation; Forced convection; Free convection; Geometry; Mathematical Logic and Foundations; Mathematics; Mathematics and Statistics; Probability Theory and Stochastic Processes; Respiration; Supercomputers; Turbulence models; Ventilation; convection; supercomputer resources; human respiration; breathing model; ventilation; virtual thermal manikin; turbulence; URANS; numerical simulation
• ISSN: 1995-0802; 1818-9962
• DOI: 10.1134/S1995080222130364

The paper presents the experience of supercomputer modeling of airflow near a breathing thermal manikin located in the test room. The computations were performed under conditions of two ventilation scenarios: the mixing ventilation case with the dominant forced convection and the case of a very weak supply airflow with the dominant free convection. Two breathing models were considered in the study. The first model was a simplified one with the constant exhaling flow. The second model simulated both exhalation and inhalation with the sine time-dependence of inlet velocity. The calculations were carried out using the steady RANS approach closed with the standard – turbulence model. The value of efficiency of parallelization is equal to unity in the range of the core number up to 280, except the runs with small core number. The computational data presented give a detailed information on the influence of exhalation/inhalation on the characteristics of the ventilation airflow and heat transfer near the human body.