Which factors influence the ability of a computational model to predict the in vivo deformation behaviour of skeletal muscle?

S. Loerakker, D.L. Bader, F.P.T. Baaijens, C.W.J. Oomens

Research output: Contribution to journalArticleAcademicpeer-review

11 Citations (Scopus)
6 Downloads (Pure)

Abstract

Deep tissue injury (DTI) is a severe form of pressure ulcer where tissue damage starts in deep tissues underneath intact skin. Tissue deformation may play an important role in the aetiology, which can be investigated using an experimental–numerical approach. Recently, an animal-specific finite element model has been developed to simulate experiments in which muscle tissue was compressed with an indenter. In this study, the material behaviour and boundary conditions were adapted to improve the agreement between model and experiment and to investigate the influence of these adaptations on the predicted strain distribution. The use of a highly nonlinear material law and including friction between the indenter and the muscle both improved the quality of the model and considerably influenced the estimated strain distribution. With the improved model, the required sample size to detect significant differences between loading conditions can be diminished, which is clearly relevant in experiments involving animals.
Original languageEnglish
Pages (from-to)338-345
Number of pages8
JournalComputer Methods in Biomechanics and Biomedical Engineering
Volume16
Issue number3
DOIs
Publication statusPublished - 2013

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