Finite element dynamic analysis of soft tissues using state-space model

A finite element (FE) model is employed to investigate the dynamic response of soft tissues under external excitations, particularly corresponding to the case of harmonic motion imaging. A solid 3D mixed 'u-p' element S8P0 is implemented to capture the near-incompressibility inherent in so...

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Published inComputer methods in biomechanics and biomedical engineering Vol. 12; no. 2; pp. 197 - 209
Main Authors Iorga, Lucian N., Shan, Baoxiang, Pelegri, Assimina A.
Format Journal Article
LanguageEnglish
Published England Taylor & Francis Group 01.04.2009
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Abstract A finite element (FE) model is employed to investigate the dynamic response of soft tissues under external excitations, particularly corresponding to the case of harmonic motion imaging. A solid 3D mixed 'u-p' element S8P0 is implemented to capture the near-incompressibility inherent in soft tissues. Two important aspects in structural modelling of these tissues are studied; these are the influence of viscous damping on the dynamic response and, following FE-modelling, a developed state-space formulation that valuates the efficiency of several order reduction methods. It is illustrated that the order of the mathematical model can be significantly reduced, while preserving the accuracy of the observed system dynamics. Thus, the reduced-order state-space representation of soft tissues for general dynamic analysis significantly reduces the computational cost and provides a unitary framework for the 'forward' simulation and 'inverse' estimation of soft tissues. Moreover, the results suggest that damping in soft-tissue is significant, effectively cancelling the contribution of all but the first few vibration modes.
AbstractList A finite element (FE) model is employed to investigate the dynamic response of soft tissues under external excitations, particularly corresponding to the case of harmonic motion imaging. A solid 3D mixed 'u-p' element S8P0 is implemented to capture the near-incompressibility inherent in soft tissues. Two important aspects in structural modelling of these tissues are studied; these are the influence of viscous damping on the dynamic response and, following FE-modelling, a developed state-space formulation that valuates the efficiency of several order reduction methods. It is illustrated that the order of the mathematical model can be significantly reduced, while preserving the accuracy of the observed system dynamics. Thus, the reduced-order state-space representation of soft tissues for general dynamic analysis significantly reduces the computational cost and provides a unitary framework for the 'forward' simulation and 'inverse' estimation of soft tissues. Moreover, the results suggest that damping in soft-tissue is significant, effectively cancelling the contribution of all but the first few vibration modes.
Author Iorga, Lucian N.
Shan, Baoxiang
Pelegri, Assimina A.
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  organization: Department of Mechanical and Aerospace Engineering , Rutgers, The State University of New Jersey
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  givenname: Baoxiang
  surname: Shan
  fullname: Shan, Baoxiang
  organization: Department of Mechanical and Aerospace Engineering , Rutgers, The State University of New Jersey
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  surname: Pelegri
  fullname: Pelegri, Assimina A.
  email: pelegri@jove.rutgers.edu
  organization: Department of Mechanical and Aerospace Engineering , Rutgers, The State University of New Jersey
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Snippet A finite element (FE) model is employed to investigate the dynamic response of soft tissues under external excitations, particularly corresponding to the case...
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SubjectTerms Biomechanical Phenomena
Biomedical Engineering
Computer applications
Connective Tissue - physiology
Elasticity
Finite Element Analysis
harmonic motion imaging
Humans
imaging
Mathematical models
modelling
Models, Biological
Motion
Soft tissues
state space
Vibrations
Viscosity
Title Finite element dynamic analysis of soft tissues using state-space model
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https://www.ncbi.nlm.nih.gov/pubmed/19242834
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