An approach to the simulation of fluid–structure interaction in the aortic valve

Carmody, CJ; Burriesci, G; Howard, I. C.; Patterson, E. A.

doi:10.1016/j.jbiomech.2004.10.038

Cited by 110 publications

(90 citation statements)

References 23 publications

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“…As the unstressed valve state popular choice is a nearly closed [18,25,27,38,39,40,41] or fully-open configuration [16,17,20]. Fully-closed position selection (loaded tissues behavior) [27,42,43,44] requires to assume the size and shape of the contact area in the coaptation regions of the leaflets. Experimental validation of aortic valve prosthesis initial geometry is important for independent validation of the results of the analysis with either experimental data or prior published results in the application of such analyses for complex biological flow phenomena.…”

Section: Fig 1 Aortic Valve Leaflet Regions [27]mentioning

confidence: 99%

Aortic Valve Geometry Modeling – Review

Dawidowska

2016

Advances in Materials Science

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The present work is a review of publications covering computer simulation of aortic valve operation and material properties of aortic valve components studies. Particular attention is paid to the anisotropy of material and geometric properties. The methods of geometric models developing by using specified research methods and/or diagnostic imaging devices are presented. The microstructure of the aortic valve is also described and its impact on material properties definition introduced. The various ways of describing the aortic valve leaflet anisotropic properties are mentioned. Often exploited simplifications and their impact on the simulation results is also presented.

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Section: Fig 1 Aortic Valve Leaflet Regions [27]mentioning

confidence: 99%

Aortic Valve Geometry Modeling – Review

Dawidowska

2016

Advances in Materials Science

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“…For example, progression of calcification in stenotic valves can potentially be inhibited at cell-and molecular-scales through pharmaceutical statins (Rosenhek et al 2004;Moura et al 2007;Otto 2007). On the other hand, surgical methods at tissue scale might be used to repair abnormal valve; however, surgery is currently possible only for specific cases of stenosis and regurgitation (Yacoub and Cohn 2004a,b), with new methods continuously being developed (Dagenais et al 2005;Carmody et al 2006). In the vast majority of cases, the existing treatment method is through implant surgery at organ scale.…”

Section: Heart Valve Disorder Mechanismsmentioning

confidence: 99%

“…For these elements, a separate and equally significant effort has been made toward creating a theoretical framework for using shells to model large deformations in general (Dvorkin et al 1995;Betsch et al 1996;Basar and Kintzel 2003;Chapelle et al 2004;Sze et al 2004;Weinberg and Kaazempur-Mofrad 2006) and developing tools for handling complex material models (Klinkel and Govindjee 2002). Bioprosthetic valves have been modeled with shells having aligned-fiber models (Black et al 1991;Carmody et al 2004). Shell models have also been implemented for mitral valve leaflet tissue (Prot et al 2007), including the effect of changes in thickness (Weinberg and Kaazempur-Mofrad 2006).…”

Section: Tissue-scalementioning

confidence: 99%

“…Collagenous fibers are shown in blue and elastic fibers in red (Schenke-Layland et al 2004) modeling. Carmody et al have embedded the valve organscale motion to the larger organ-scale motion of the left ventricle (Carmody et al 2006). Huang et al have used analytical calculations to link the cell-scale model to pressure applied at the organ-scale, and have notably compared to experimental data with good agreement (Huang et al 2007).…”

Section: Multiscale Modeling Approach For Heart Valvementioning

confidence: 99%

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On the multiscale modeling of heart valve biomechanics in health and disease

Weinberg

Shahmirzadi

Mofrad

2010

Biomech Model Mechanobiol

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Theoretical models of the human heart valves are useful tools for understanding and characterizing the dynamics of healthy and diseased valves. Enabled by advances in numerical modeling and in a range of disciplines within experimental biomechanics, recent models of the heart valves have become increasingly comprehensive and accurate. In this paper, we first review the fundamentals of native heart valve physiology, composition and mechanics in health and disease. We will then furnish an overview of the development of theoretical and experimental methods in modeling heart valve biomechanics over the past three decades. Next, we will emphasize the necessity of using multiscale modeling approaches in order to provide a comprehensive description of heart valve biomechanics able to capture general heart valve behavior. Finally, we will offer an outlook for the future of valve multiscale modeling, the potential directions for further developments and the challenges involved.

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“…Furthermore, hyperelastic material models introduced too many input dimensions for the scope of the study. A number of recent aortic valve simulations have made use of fluid-structure interaction techniques to more realistically model blood/leaflet interaction [15,16], however in the interests of reducing computational expense, for this investigation the loading was applied as a set of simple pressure curves, assumed to be uniform across the leaflet [16]. The respective pressures on the leaflet, and the aortic and ventricular sides of the valve were obtained from the pressure curves in the cardiac cycle, which are well established quantities.…”

mentioning

confidence: 99%

Aspects of Uncertainty Analysis for Large Nonlinear Computational Models

Worden

Becker

Battipede

et al. 2010

AMM

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Abstract. This paper concerns the analysis of how uncertainty propagates through large computational models like finite element models. If a model is expensive to run, a Monte Carlo approach based on sampling over the possible model inputs will not be feasible, because the large number of model runs will be prohibitively expensive. Fortunately, an alternative to Monte Carlo is available in the form of the established Bayesian algorithm discussed here; this algorithm can provide information about uncertainty with many less model runs than Monte Carlo requires. The algorithm also provides information regarding sensitivity to the inputs i.e. the extent to which input uncertainties are responsible for output uncertainty. After describing the basic principles of the Bayesian approach, it is illustrated via two case studies: the first concerns a finite element model of a human heart valve and the second, an airship model incorporating fluid structure interaction.

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An approach to the simulation of fluid–structure interaction in the aortic valve

Cited by 110 publications

References 23 publications

Aortic Valve Geometry Modeling – Review

Aortic Valve Geometry Modeling – Review

On the multiscale modeling of heart valve biomechanics in health and disease

Aspects of Uncertainty Analysis for Large Nonlinear Computational Models

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