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Experimental and Multiscale Computational Approaches to the Nonlinear Characterization of Liver Tissue

Abstract Details

2007, PhD, University of Cincinnati, Engineering : Mechanical Engineering.
The mechanical behavior of soft cellular tissue such as the liver has been rarely characterized to the extent of load-bearing tissue. Most of the available material parameters of soft tissue found in the literature are phenomenological, i.e., they do not provide a link between the mechanical response of the tissue to its overall mechanical response. However, there is a need to characterize the nonlinear mechanical behavior of liver tissue due to the potential impact such information has on technologies in disease diagnosis, injury prevention, automated surgery, etc. Robust mechanical characterization based on underlying tissue structure has the potential to provide significant enhancements to each of these technologies. This dissertation focuses on two major aspects of the nonlinear material characterization of the liver tissue: experimentation and correlation of the overall mechanical behavior to the underlying tissue structure. Uniaxial compression experiments with no-slip edge conditions are conducted to extract bulk nonlinear properties. A computational “correction factor approach” is developed to extract “real” material parameters by eliminating the frictional effects resulting from the no-slip edge conditions. No-slip experimental results at various strain rates are then corrected to extract time-dependent nonlinear parameters. Using the cellular mechanical properties associated with the liver, a multiscale homogenization approach is employed in bridging the overall tissue behavior to the microstructural architecture. The multiscale approach is validated through a comparison of computationally derived bulk response to the equilibrium response of the liver tissue obtained using no-slip experiments at various strain rates.
Dr. Kumar Vemaganti (Advisor)
137 p.

Recommended Citations

Citations

  • Roan, E. (2007). Experimental and Multiscale Computational Approaches to the Nonlinear Characterization of Liver Tissue [Doctoral dissertation, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1179425113

    APA Style (7th edition)

  • Roan, Esra. Experimental and Multiscale Computational Approaches to the Nonlinear Characterization of Liver Tissue. 2007. University of Cincinnati, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1179425113.

    MLA Style (8th edition)

  • Roan, Esra. "Experimental and Multiscale Computational Approaches to the Nonlinear Characterization of Liver Tissue." Doctoral dissertation, University of Cincinnati, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1179425113

    Chicago Manual of Style (17th edition)