A quasi-3D wire approach to model pulmonary airflow in human airways

被引:26
|
作者
Kannan, Ravishekar [1 ]
Chen, Z. J. [1 ]
Singh, Narender [1 ]
Przekwas, Andrzej [1 ]
Delvadia, Renishkumar [2 ]
Tian, Geng [2 ]
Walenga, Ross [2 ]
机构
[1] CFD Res Corp, 701 McMillian Way NW,Suite D, Huntsville, AL 35806 USA
[2] US FDA, Ctr Drug Evaluat Res, Silver Spring, MD USA
关键词
CFD; lung airway; quasi-3D; wire model; TRACHEOBRONCHIAL AIRWAYS; COMPUTATIONAL MODEL; REALISTIC MODEL; DEPOSITION; SIMULATION; FLUID;
D O I
10.1002/cnm.2838
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The models used for modeling the airflow in the human airways are either 0-dimensional compartmental or full 3-dimensional (3D) computational fluid dynamics (CFD) models. In the former, airways are treated as compartments, and the computations are performed with several assumptions, thereby generating a low-fidelity solution. The CFD method displays extremely high fidelity since the solution is obtained by solving the conservation equations in a physiologically consistent geometry. However, CFD models (1) require millions of degrees of freedom to accurately describe the geometry and to reduce the discretization errors, (2) have convergence problems, and (3) require several days to simulate a few breathing cycles. In this paper, we present a novel, fast-running, and robust quasi-3D wire model for modeling the airflow in the human lung airway. The wire mesh is obtained by contracting the high-fidelity lung airway surface mesh to a system of connected wires, with well-defined radii. The conservation equations are then solved in each wire. These wire meshes have around O(1000) degrees of freedom and hence are 3000 to 25 000 times faster than their CFD counterparts. The 3D spatial nature is also preserved since these wires are contracted out of the actual lung STL surface. The pressure readings between the 2 approaches showed minor difference (maximum error = 15%). In general, this formulation is fast and robust, allows geometric changes, and delivers high-fidelity solutions. Hence, this approach has great potential for more complicated problems including modeling of constricted/diseased lung sections and for calibrating the lung flow resistances through parameter inversion.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] A quasi-3D model of longshore currents
    Faria, AFG
    Thornton, E
    Stanton, T
    COASTAL DYNAMICS '95, 1996, : 389 - 400
  • [2] A QUASI-3D MODEL OF THE SPIRALLY COILED COCHLEA
    LOH, CH
    MECHANICS RESEARCH COMMUNICATIONS, 1983, 10 (01) : 15 - 19
  • [3] A quasi-3D turbulent model of nearshore currents
    Kuroiwa, M
    Matsubara, Y
    Inukai, T
    Noda, H
    PROCEEDINGS OF THE FIRST ASIAN AND PACIFIC COASTAL ENGINEERING CONFERENCE, VOLS 1 AND 2 (APACE 2001), 2001, : 196 - 205
  • [4] An efficient indoor ray-tracing propagation model with a quasi-3D approach
    Grubisic, Stevan
    Jr, Walter Pereira Carpes
    Journal of Microwaves, Optoelectronics and Electromagnetic Applications, 2014, 13 (02): : 166 - 176
  • [5] A New Quasi-3D Model for Functionally Graded Plates
    Ghumare, Shantaram M.
    Sayyad, Atteshamuddin S.
    JOURNAL OF APPLIED AND COMPUTATIONAL MECHANICS, 2019, 5 (02): : 367 - 380
  • [6] A curvilinear version of a quasi-3D nearshore circulation model
    Shi, FY
    Svendsen, IA
    Kirby, JT
    Smith, JM
    COASTAL ENGINEERING, 2003, 49 (1-2) : 99 - 124
  • [7] Quasi-3D approach for BGA Package Thermal Modeling.
    Petrosyants, K. O.
    Rjabov, N. I.
    2012 18TH INTERNATIONAL WORKSHOP ON THERMAL INVESTIGATIONS OF ICS AND SYSTEMS (THERMINIC), 2012, : 158 - 161
  • [8] Quasi-3D dynamic finite element model for rolling mills
    Wu, YX
    Hua, GJ
    Duan, JA
    Zhong, J
    ASIA-PACIFIC VIBRATION CONFERENCE 2001, VOL 1, PROCEEDINGS, 2001, : 245 - 249
  • [9] Analytical Hybrid Quasi-3D Transformer Leakage Inductance Model
    Schlesinger, Richard
    Ewald, Thomas
    Biela, Juergen
    IEEE TRANSACTIONS ON POWER ELECTRONICS, 2023, 38 (04) : 5092 - 5106
  • [10] Quasi-3D Model for Lateral Resonances on Homogeneous BAW Resonators
    Udaondo, Carlos
    Collado, Carlos
    Mateu, Jordi
    Hashimoto, Kenya
    Zhang, Songsong
    Zhang, Qiaozhen
    Tan, Xing Haw Marvin
    MICROMACHINES, 2023, 14 (11)