Biomechanics and Modeling in Mechanobiology

Journal: Biomechanics and Modeling in Mechanobiology

Abbreviation

Biomech Model Mechanobiol

Publisher

Springer

ISSN

1617-7959
1617-7940

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Publications1 - 10 of 32

Investigating the reference domain influence in personalised models of cardiac mechanics Effect of unloaded geometry on cardiac biomechanics
Hadjicharalambous, Myrianthi; Stoeck, Christian T.; Weisskopf, Miriam; et al. (2021)
Biomechanics and Modeling in Mechanobiology
A major concern in personalised models of heart mechanics is the unknown zero-pressure domain, a prerequisite for accurately predicting cardiac biomechanics. As the reference configuration cannot be captured by clinical data, studies often employ in-vivo frames which are unlikely to correspond to unloaded geometries. Alternatively, zero-pressure domain is approximated through inverse methodologies, which, however, entail assumptions pertaining to boundary conditions and material parameters. Both approaches are likely to introduce biases in estimated biomechanical properties; nevertheless, quantification of these effects is unattainable without ground-truth data. In this work, we assess the unloaded state influence on model-derived biomechanics, by employing an in-silico modelling framework relying on experimental data on porcine hearts. In-vivo images are used for model personalisation, while in-situ experiments provide a reliable approximation of the reference domain, creating a unique opportunity for a validation study. Personalised whole-cycle cardiac models are developed which employ different reference domains (image-derived, inversely estimated) and are compared against ground-truth model outcomes. Simulations are conducted with varying boundary conditions, to investigate the effect of data-derived constraints on model accuracy. Attention is given to modelling the influence of the ribcage on the epicardium, due to its close proximity to the heart in the porcine anatomy. Our results find merit in both approaches for dealing with the unknown reference domain, but also demonstrate differences in estimated biomechanical quantities such as material parameters, strains and stresses. Notably, they highlight the importance of a boundary condition accounting for the constraining influence of the ribcage, in forward and inverse biomechanical models.
Nonlinear elastic-viscoplastic constitutive equations for aging facial tissues
Mazza, Edoardo; Papes, O.; Rubin, M. B.; et al. (2005)
Biomechanics and Modeling in Mechanobiology
On the compressibility and poroelasticity of human and murine skin
Wahlsten, Adam; Pensalfini, Marco; Stracuzzi, Alberto; et al. (2019)
Biomechanics and Modeling in Mechanobiology
A total of 37 human and 33 murine skin samples were subjected to uniaxial monotonic, cyclic, and relaxation experiments. Detailed analysis of the three-dimensional kinematic response showed that skin volume is significantly reduced as a consequence of a tensile elongation. This behavior is most pronounced in monotonic but persists in cyclic tests. The dehydration associated with volume loss depends on the osmolarity of the environment, so that tension relaxation changes as a consequence of modifying the ionic strength of the environmental bath. Similar to ex vivo observations, complementary in vivo stretching experiments on human volar forearms showed strong in-plane lateral contraction. A biphasic homogenized model is proposed which allows representing all relevant features of the observed mechanical response.
Large-scale microstructural simulation of load-adaptive bone remodeling in whole human vertebrae
Badilatti, Sandro D.; Christen, Patrik; Levchuk, Alina; et al. (2016)
Biomechanics and Modeling in Mechanobiology
On the significance of fiber branching in the human myocardium
Niederer, P.F.; Lunkenheimer, P.P.; Cryer, C.W. (2004)
Biomechanics and Modeling in Mechanobiology
Vortical flow in the utricle and the ampulla
Boselli, Francesco; Obrist, Dominik; Kleiser, Leonhard (2013)
Biomechanics and Modeling in Mechanobiology
A quadriphasic mechanical model of the human dermis
Sachs, David; Jakob, Raphael; Restivo, Gaetana; et al. (2024)
Biomechanics and Modeling in Mechanobiology
The present study investigates the multiphasic nature of the mechanical behavior of human dermis. Motivated by experimental observations and by consideration of its composition, a quadriphasic model of the dermis is proposed, distinguishing solid matrix components, interstitial fluid and charged constituents moving within the fluid, i.e., anions and cations. Compression and tensile experiments with and without change of osmolarity of the bath are performed to characterize the chemo-mechanical coupling in the dermis. Model parameters are determined through inverse analysis. The computations predict a dominant role of the permeability in the determination of the temporal evolution of the mechanical response of the tissue. In line with the previous studies on other tissues, the analysis shows that an ideal model based on Donnan's equilibrium overestimates the osmotic pressure in skin for the case of very dilute solutions. The quadriphasic model is applied to predict changes in dermal cell environment and therefore alterations in what is called the "mechanome," associated with skin stretch. The simulations indicate that skin deformation causes a variation in several local variables, including in particular the electric field associated with a deformation-induced non-homogeneous distribution of fixed charges.
Experimental and finite element analysis of the mouse caudal vertebrae loading model: prediction of cortical and trabecular bone adaptation
Webster, Duncan; Wirth, Andreas; van Lenthe, G. Harry; et al. (2012)
Biomechanics and Modeling in Mechanobiology
Modeling microdamage behavior of cortical bone
Donaldson, Finn; Ruffoni, Davide; Schneider, Philipp; et al. (2014)
Biomechanics and Modeling in Mechanobiology
Bone is a complex material which exhibits several hierarchical levels of structural organization. At the submicron-scale, the local tissue porosity gives rise to discontinuities in the bone matrix which have been shown to influence damage behavior. Computational tools to model the damage behavior of bone at different length scales are mostly based on finite element (FE) analysis, with a range of algorithms developed for this purpose. Although the local mechanical behavior of bone tissue is influenced by microstructural features such as bone canals and osteocyte lacunae, they are often not considered in FE damage models due to the high computational cost required to simulate across several length scales, i.e., from the loads applied at the organ level down to the stresses and strains around bone canals and osteocyte lacunae. Hence, the aim of the current study was twofold: First, a multilevel FE framework was developed to compute, starting from the loads applied at the whole bone scale, the local mechanical forces acting at the micrometer and submicrometer level. Second, three simple microdamage simulation procedures based on element removal were developed and applied to bone samples at the submicrometer-scale, where cortical microporosity is included. The present microdamage algorithm produced a qualitatively analogous behavior to previous experimental tests based on stepwise mechanical compression combined with in situ synchrotron radiation computed tomography. Our results demonstrate the feasibility of simulating microdamage at a physiologically relevant scale using an image-based meshing technique and multilevel FE analysis; this allows relating microdamage behavior to intracortical bone microstructure.
Mechanical loading of mouse caudal vertebrae increases trabecular and cortical bone mass-dependence on dose and genotype
Webster, Duncan J.; Wasserman, Elad; Ehrbar, Martin; et al. (2010)
Biomechanics and Modeling in Mechanobiology

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