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Title |
Computational simulation of gas transport of human respiratory system using fractal networks |
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Author |
Xiuzhen Sun, Shouju Li, Yingxi Liu , Jizhe Wang, Ying Wang |
| Citation |
Vol. 6 No. 8 pp. 69-74 |
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Abstract |
The optimal gas transport system in human respiratory network should maximize hydraulic permeability for a given investment in transport tissue. The computer simulation of hydraulic permeability of a branched transport system is proposed in order to investigate how this optimum can be achieved in the human respiratory system. Based on the parallel and series principles and Darcy’s law, the equivalent permeability of human respiratory system is developed by using fractal networks. The fractal network model of human respiratory system is presented to model gas transport properties. The influence of fractal parameters on permeability is investigated numerically. The investigation show that the equivalent permeability of respiratory network will increase with the scaling factor ? and the number of bifurcating branches M. The finite element model of human respiratory system is presented and the pressure and velocity distribution in the human respiratory system are computed and analyzed |
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Keywords |
Gas transport, Human respiratory system, Fractal networks, Computational simulation |
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