Based on the Theory of Porous Media (mixture theories extended by the concept of volume fractions), a model describing the mechanical behavior of hydrated soft tissues such as articular cartilage is presented. As usual, the tissue will be modeled as a materially incompressible binary medium of one linear viscoelastic porous solid skeleton saturated by a single viscous pore-fluid. The contribution of this paper is to combine a descriptive representation of the linear viscoelasticity law for the organic solid matrix with an efficient numerical treatment of the strongly coupled solid-fluid problem. Furthermore, deformation-dependent permeability effects are considered. Within the finite element method (FEM), the weak forms of the governing model equations are set up in a system of differential algebraic equations (DAE) in time. Thus, appropriate embedded error-controlled time integration methods can be applied that allow for a reliable and efficient numerical treatment of complex initial boundary-value problems. The applicability and the efficiency of the presented model are demonstrated within canonical, numerical examples, which reveal the influence of the intrinsic dissipation on the general behavior of hydrated soft tissues, exemplarily on articular cartilage.
Skip Nav Destination
Article navigation
October 2001
Technical Papers
A Linear Viscoelastic Biphasic Model for Soft Tissues Based on the Theory of Porous Media
Wolfgang Ehlers,
Wolfgang Ehlers
Institute of Applied Mechanics (Civil Engineering), University of Stuttgart, Stuttgart, Germany
Search for other works by this author on:
Bernd Markert
Bernd Markert
Institute of Applied Mechanics (Civil Engineering), University of Stuttgart, Stuttgart, Germany
Search for other works by this author on:
Wolfgang Ehlers
Institute of Applied Mechanics (Civil Engineering), University of Stuttgart, Stuttgart, Germany
Bernd Markert
Institute of Applied Mechanics (Civil Engineering), University of Stuttgart, Stuttgart, Germany
Contributed by the Bioengineering Division for publication in the JOURNAL OF BIOMECHANICAL ENGINEERING. Manuscript received by the Bioengineering Division November 30, 1999; revised manuscript received April 25, 2001. Associate Editor: L. A. Taber.
J Biomech Eng. Oct 2001, 123(5): 418-424 (7 pages)
Published Online: April 25, 2001
Article history
Received:
November 30, 1999
Revised:
April 25, 2001
Citation
Ehlers , W., and Markert, B. (April 25, 2001). "A Linear Viscoelastic Biphasic Model for Soft Tissues Based on the Theory of Porous Media ." ASME. J Biomech Eng. October 2001; 123(5): 418–424. https://doi.org/10.1115/1.1388292
Download citation file:
Get Email Alerts
We Will, We Will Shock You: Adaptive Versus Conventional Functional Electrical Stimulation in Individuals Post-Stroke
J Biomech Eng (December 2024)
Evaluation of an Inverse Method for Quantifying Spatially Variable Mechanics
J Biomech Eng (December 2024)
Effect of Structure and Wearing Modes on the Protective Performance of Industrial Safety Helmet
J Biomech Eng (December 2024)
Sex-Based Differences and Asymmetry in Hip Kinematics During Unilateral Extension From Deep Hip Flexion
J Biomech Eng (December 2024)
Related Articles
A Comparison Between Mechano-Electrochemical and Biphasic Swelling Theories for Soft Hydrated Tissues
J Biomech Eng (February,2005)
Dependence of Mechanical Behavior of the Murine Tail Disc on Regional Material Properties: A Parametric Finite Element Study
J Biomech Eng (December,2005)
Equivalence Between Short-Time Biphasic and Incompressible Elastic Material Responses
J Biomech Eng (June,2007)
A Large Strain Material Model for Soft Tissues With Functionally Graded Properties
J Biomech Eng (July,2010)
Related Proceedings Papers
Related Chapters
Characterization of Tissue Viscoelasticity from Shear Wave Speed Dispersion
Biomedical Applications of Vibration and Acoustics in Imaging and Characterizations
Linear Viscoelasticity
Introduction to Plastics Engineering
Introduction and Scope
High Frequency Piezo-Composite Micromachined Ultrasound Transducer Array Technology for Biomedical Imaging