A discrete approach for modeling degraded elastic fibers in aortic dissection

Rolf-Pissarczyk, Malte; Li, Kewei; Fleischmann, Dominik; Holzapfel, Gerhard

doi:10.1016/j.cma.2020.113511

Cited by 25 publications

(29 citation statements)

References 69 publications

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“…Based on Rolf-Pissarczyk et al [21] we now define the constitutive model for elastic fibres, specified by the strain energy Ψ e , i.e.…”

Section: (B) Passive Constitutive Modelmentioning

confidence: 99%

“…In order to exclude degraded elastic fibres, (2.13) can easily be extended by introducing a degradation parameter, as introduced in [21]. Next, we define the mathematical expression of the strain-energy function per 2D single fibre as…”

Section: (B) Passive Constitutive Modelmentioning

confidence: 99%

“…For a detailed description of the two representative examples, the reader is referred to Li et al [16]. Second, we applied the large-scale computational model of a patient data-motivated geometry of an aortic dissection introduced by Rolf-Pissarczyk et al [21], which has been implemented in the commercially available finite-element analysis program Abaqus/Standard [63], in order to compare the computational time and the computational results obtained with several discretization levels. Here we limited the evaluations to representative results.…”

Section: (C) Evaluation Of Convergence Ratesmentioning

confidence: 99%

“…After analysing the discretization with representative examples, the isoparametric DFD method is applied to the computational model of a patient data-motivated geometry of an aortic dissection introduced by Rolf-Pissarczyk et al [21], as shown in figure 6a. For details about the created geometry, the applied boundary conditions at systole, the chosen spatial and time discretizations of the geometry and the numerical solver used, including the specifications of the computer, the reader is referred to [21].…”

Section: (C) Evaluation Of Convergence Ratesmentioning

confidence: 99%

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Efficient computational modelling of smooth muscle orientation and function in the aorta

et al. 2021

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Understanding the mechanical effects of smooth muscle cell (SMC) contraction on the initiation and the propagation of cardiovascular diseases such as aortic dissection is critical. Framed by elastic lamellar sheets in the lamellar unit, there are SMCs in the media with a distinct radial tilt, which indicates their contribution to the radial strength. However, the mechanical effects of this type of anisotropy have not been fully discussed. Therefore, in this study, we propose a constitutive framework that models the passive and active mechanics of the aorta, taking into account the dispersed nature of the aortic constituents by applying the discrete fibre dispersion method. We suggest an isoparametric approach by evaluating various numerical integration methods and introducing a non-uniform discretization of the unit hemisphere to increase its computational efficiency. Finally, the constitutive parameters are fitted to layer-specific experimental data and initial computational results are briefly presented. The radial tilt of SMCs is also analysed, which has a noticeable influence on the mechanical behaviour of the aorta. In the absence of sufficient experimental data, the results indicate that the active contribution of SMCs has a remarkable impact on the mechanics of the healthy aorta.

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“…Based on Rolf-Pissarczyk et al [21] we now define the constitutive model for elastic fibres, specified by the strain energy Ψ e , i.e.…”

Section: (B) Passive Constitutive Modelmentioning

confidence: 99%

Section: (B) Passive Constitutive Modelmentioning

confidence: 99%

Section: (C) Evaluation Of Convergence Ratesmentioning

confidence: 99%

Section: (C) Evaluation Of Convergence Ratesmentioning

confidence: 99%

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Efficient computational modelling of smooth muscle orientation and function in the aorta

et al. 2021

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“…Material parameters taken from[13,[21][22][23][24], values in brackets indicate individual parameters for elements in flap, medial and adventitia regions in the format (flap and media/adventitia).…”

mentioning

confidence: 99%

Coupled Multiphysics Modeling of Aortic Dissection

Schussnig¹,

Fries²

2021

14th WCCM-ECCOMAS Congress

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Computational modeling of the cardiovascular system plays an increasingly important role in biomedicine, as it allows for non-invasive investigations of the status-quo and studying the influence of different treatment options available. The goal is to incorporate patient-specific datasets to obtain socalled digital twins to increase relevance of virtual surgery and support clinical decision making. In this context, aortic dissection is particularly challenging, since the overall system behavior strongly depends on the interplay between tissue deformation and blood flow, giving rise to a fully coupled fluid-structure interaction problem. To account for the complex physics, several additional modeling aspects such as prestress, advanced constitutive models respecting fibre orientation and suitable boundary conditions for the fluid and solid phases have to be considered. Within this study, these special techniques are applied to a patient-specific dataset, for which first results are presented highlighting their relevance.

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On the role of tissue mechanics in fluid–structure interaction simulations of patient‐specific aortic dissection

Schussnig,

Rolf‐Pissarczyk,

Bäumler

et al. 2024

Numerical Meth Engineering

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Modeling an aortic dissection represents a particular challenge from a numerical perspective, especially when it comes to the interaction between solid (aortic wall) and liquid (blood flow). The complexity of patient‐specific simulations requires a variety of parameters, modeling assumptions and simplifications that currently hinder their routine use in clinical settings. We present a numerical framework that captures, among other things, the layer‐specific anisotropic properties of the aortic wall, the non‐Newtonian behavior of blood, patient‐specific geometry, and patient‐specific flow conditions. We compare hemodynamic indicators and stress measurements in simulations with increasingly complex material models for the vessel tissue ranging from rigid walls to anisotropic hyperelastic materials. We find that for the present geometry and boundary conditions, rigid wall simulations produce different results than fluid–structure interaction simulations. Considering anisotropic fiber contributions in the tissue model, stress measurements in the aortic wall differ, but shear stress‐based biomarkers are less affected. In summary, the increasing complexity of the tissue model enables capturing more details. However, an extensive parameter set is also required. Since the simulation results depend on these modeling choices, variations can lead to different recommendations in clinical applications.

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A discrete approach for modeling degraded elastic fibers in aortic dissection

Cited by 25 publications

References 69 publications

Efficient computational modelling of smooth muscle orientation and function in the aorta

Efficient computational modelling of smooth muscle orientation and function in the aorta

Coupled Multiphysics Modeling of Aortic Dissection

On the role of tissue mechanics in fluid–structure interaction simulations of patient‐specific aortic dissection

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