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 in | Computer methods in biomechanics and biomedical engineering Vol. 12; no. 2; pp. 197 - 209 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
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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. |
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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. |
Author_xml | – sequence: 1 givenname: Lucian N. surname: Iorga fullname: Iorga, Lucian N. organization: Department of Mechanical and Aerospace Engineering , Rutgers, The State University of New Jersey – sequence: 2 givenname: Baoxiang surname: Shan fullname: Shan, Baoxiang organization: Department of Mechanical and Aerospace Engineering , Rutgers, The State University of New Jersey – sequence: 3 givenname: Assimina A. 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 |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/19242834$$D View this record in MEDLINE/PubMed |
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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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