Coupled problems in computational modeling of the respiratory system

Lena Wiechert, Timon Rabczuk, Michael Gee, Robert Metzke, Wolfgang A. Wall

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Biomechanical simulations are an important field of application for high performance computing due to the complexity and largeness of involved problems. This paper is concerned with coupled problems in the human respiratory system with emphasis on mechanical ventilation. In this context we focus on the modeling aspects of pulmonary alveoli and the lower airways. Our alveolar model is based on artificially generated random geometries and takes into account realistic tissue behavior as well as interfacial phenomena. On the part of the structural solver a smoothed aggregation algebraic multigrid method is used. For the first four generations of the bronchial tree, a geometry based on human computer tomography scans obtained from in-vivo experiments is employed. With the help of fluid-structure interaction simulations, flow patterns and airway wall stresses for normal breathing and mechanical ventilation of the healthy and diseased lung are investigated.

Original languageEnglish
Title of host publicationHigh Performance Computing on Vector Systems 2007
PublisherSpringer Science and Business Media, LLC
Pages145-166
Number of pages22
ISBN (Print)9783540743835
DOIs
Publication statusPublished - 2008
Event2007 7th Teraflop Workshop - Sendai, Japan
Duration: 2007 Nov 212007 Nov 22

Publication series

NameHigh Performance Computing on Vector Systems 2007

Other

Other2007 7th Teraflop Workshop
CountryJapan
CitySendai
Period07/11/2107/11/22

ASJC Scopus subject areas

  • Software

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    Wiechert, L., Rabczuk, T., Gee, M., Metzke, R., & Wall, W. A. (2008). Coupled problems in computational modeling of the respiratory system. In High Performance Computing on Vector Systems 2007 (pp. 145-166). (High Performance Computing on Vector Systems 2007). Springer Science and Business Media, LLC. https://doi.org/10.1007/978-3-540-74384-2_12