Page 82 - Advances in Biomechanics and Tissue Regeneration
P. 82
REFERENCES 77
presents viscous and damage behavior and with a significant dispersion in the orientation, which has a significant
influence on the mechanical response. The high complexity of biological tissues requires mechanical models that
include information about the underlying constituents and that look for the physics of the whole processes within
the material. This behavior of the microconstituents can be taken into macroscopic models by means of computational
homogenization. It is in this context where the microsphere-based approach acquires high relevance. Regarding the
parameter estimation analysis, the larger the number of parameters, the more flexible and the better fitting (i.e., con-
cerning the residual error) is reached, as could be expected. However, too many parameters not only increase the com-
plexity of the model [47], but also increment the disadvantages of ill-posed problems. In this regard, we agree that the
main goal in constitutive models should be to include physically motivated aspects and, as much as possible, to feed
these models with experimental data obtained from histological analysis, polarized light microscopy [46], or other
quantitative experimental techniques [48].
Acknowledgments
The authors gratefully acknowledge research support from the Spanish Ministry of Science and Technology through research project DPI2016-
76630-C2-1-R and CIBER initiative. Part of the work was performed by the ICTS “NANBIOSIS” specifically by the Tissue and Scaffold Character-
ization Unit (U13) and High Performance Computing Unit (U27), of the CIBER in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN at
the University of Zaragoza).
References
[1] J.D. Humphrey, Continuum biomechanics of soft biological tissues, Proc. R. Soc. Lond. A 175 (2002) 1–44.
[2] Y.C. Fung, Biomechanics: Mechanical Properties of Living Tissues, Springer-Verlag, New York, NY, 1993.
[3] A. García, E. Peña, A. Laborda, F. Lostal e, M.A de Gregorio, M. Doblar e, M.A. Martínez, Experimental study and constitutive modelling of the
passive mechanical properties of the porcine carotid artery and its relation to histological analysis. Implications in animal cardiovascular device
trials, Med. Eng. Phys. 33 (2011) 665–676.
[4] J.A. Peña, V. Corral, M.A. Martínez, E. Peña, Over length quantification of the multiaxial mechanical properties of the ascending, descending
and abdominal aorta using Digital Image Correlation, J. Mech. Behav. Biomed. 77 (2018) 434–445.
[5] J.A. Peña, M.A. Martínez, E. Peña, Layer-specific residual deformations and uniaxial and biaxial mechanical properties of thoracic porcine aorta,
J. Mech. Behav. Biomed. 50 (2015) 55–69.
[6] D.P. Sokolis, S. Sassani, E.P. Kritharis, S. Tsangaris, Differential histomechanical response of carotid artery in relation to species and region:
mathematical description accounting for elastin and collagen anisotropy, Med. Biol. Eng. Comput. 49 (2011) 867–879.
[7] V. Alastru e, M.A. Martínez, M. Doblar e, A. Menzel, Anisotropic micro-sphere-based finite elasticity applied to blood vessel modelling, J. Mech.
Phys. Solids 57 (2009) 178–203.
[8] T.C. Gasser, R.W. Ogden, G.A. Holzapfel, Hyperelastic modelling of arterial layers with distributed collagen fiber orientations, J. R. Soc. Inter-
face 3 (2006) 15–35.
[9] G.A. Holzapfel, T.C. Gasser, R.W. Ogden, A new constitutive framework for arterial wall mechanics and a comparative study of material
models, J. Elasticity 61 (2000) 1–48.
[10] G.A. Holzapfel, R.W. Ogden, Constitutive modelling of arteries, Phil. Trans. R. Soc. A 466 (2010) 1551–1597.
[11] D.P. Sokolis, A passive strain-energy function for elastic and muscular arteries: correlation of material parameters with histological data, Med.
Biol. Eng. Comput. 48 (2010) 507–518.
[12] M. Zullinger, A. Rachev, N. Stergiopulos, A constitutive formulation of arterial mechanics including vascular smooth muscle tone, Am. J. Phy-
siol. Heart Circ. Physiol. 287 (2004) H1335–H1343.
[13] S. Polzer, T.C. Gasser, K. Novak, V. Mana, M. Tichy, P. Skacel, J. Bursa, Structure-based constitutive model can accurately predict planar biaxial
properties of aortic wall tissue, Acta Biomater. 14 (2015) 133–145.
[14] H. Weisbecker, M.J. Unterberger, G.A. Holzapfel, Constitutive modelling of arteries considering fiber recruitment and three-dimensional fiber
distribution, J. R. Soc. Interface 12 (2015) 20150111.
[15] J.D. Humphrey, Mechanics of the arterial wall: review and directions, Crit. Rev. Biomed. Eng. 23 (1995) 1–162.
[16] Y. Lanir, A structural theory for the homogeneous biaxial stress-strain relationship in flat collageneous tissues, J. Biomech. 12 (1979) 423–436.
[17] Y.C. Fung, K. Fronek, P. Patitucci, Pseudoelasticity of arteries and the choice of its mathematical expression, Am. J. Physiol. 237 (1979)
H620–H631.
[18] K. Takamizawa, K. Hayashi, Strain-energy density-function and uniform strain hypothesis for arterial mechanics, J. Biomech. 20 (1987) 7–17.
[19] C.N. van den Broek, A. van der Horst, M.C.M. Rutten, F.N. van de Vosse, A generic constitutive model for the passive porcine coronary artery,
Biomech. Mod. Mechanobiol. 10 (2011) 249–258.
[20] M. Zullinger, P. Fridez, K. Hayashi, N. Stergiopulos, A strain energy function for arteries accounting for wall composition and structure,
J. Biomech. 37 (2004) 989–1000.
[21] P.B. Dobrin, T.R. Canfield, Identification of smooth muscle series elastic component in intact carotid artery, Am. J. Physiol. Heart Circ. Physiol.
232 (1977). HI22–HI30.
[22] P.B. Dobrin, T.R. Canfield, Elastase, collagenase, and the biaxial elastic properties of dog carotid artery, Am. J. Physiol. Heart Circ. Physiol.
247 (1984) H124–H131.
[23] G.V. Guinea, J.M. Atienza, M. Elices, P. Aragoncillo, K. Hayashi, Thermomechanical behavior of human carotid arteries in the passive state, Am.
J. Physiol. Heart Circ. Physiol. 288 (2005) H2940–H2945.
I. BIOMECHANICS