A one-dimensional mixed porohyperelastic transport swelling finite element model with growth
Autor: | John L. Harper, J.P. Vande Geest, Bruce R. Simon |
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Jazyk: | angličtina |
Rok vydání: | 2013 |
Předmět: |
Work (thermodynamics)
Materials science Deformation (mechanics) business.industry Effective stress Finite Element Analysis Biomedical Engineering Growth model Mechanics Structural engineering Finite element method Article Elasticity Biomaterials Stress (mechanics) Mechanics of Materials medicine Growth and Development Stress Mechanical Swelling medicine.symptom Constant (mathematics) business Porosity |
Popis: | A one-dimensional, large-strain, mixed porohyperelastic transport and swelling (MPHETS) finite element model was developed in MATLAB and incorporated with a well-known growth model for soft tissues to allow the model to grow (increase in length) or shrink (decrease in length) at constant material density. By using the finite element model to determine the deformation and stress state, it is possible to implement different growth laws in the program in the future to simulate how soft tissues grow and behave when exposed to various stimuli (e.g. mechanical, chemical, or electrical). The essential assumptions needed to use the MPHETS model with growth are clearly identified and explained in this paper. The primary assumption in this work, however, is that the stress upon which growth acts is the stress in the solid skeleton, i.e. the effective stress, S(eff). It is shown that significantly different amounts of growth are experienced for the same loading conditions when using a porohyperelastic model as compared to a purely solid model. In one particular example, approximately 51% less total growth occurred in the MPHETS model than in the solid model even though both problems were subjected to the same external loading. This work represents a first step in developing more sophisticated models capable of capturing the complex mechanical and biochemical environment in growing and remodeling tissues. |
Databáze: | OpenAIRE |
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