ArticleJournal of the mechanics and physics of solids2014
On the mechanics of growing thin biological membranes.
Article in Journal of the mechanics and physics of solids, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 45 citations in OpenAlex.
- Reduced biomechanical models for precision-cut lung-slice stretching experiments.Journal of mathematical biology · 2021Article
- The Geometry of Incompatibility in Growing Soft Tissues: Theory and Numerical Characterization.Journal of the mechanics and physics of solids · 2021Article
- Propagation of uncertainty in the mechanical and biological response of growing tissues using multi-fidelity Gaussian process regression.Computer methods in applied mechanics and engineering · 2020Article
- Review
- An augmented iterative method for identifying a stress-free reference configuration in image-based biomechanical modeling.Journal of biomechanics · 2017Article
- Quantification of Strain in a Porcine Model of Skin Expansion Using Multi-View Stereo and Isogeometric Kinematics.Journal of visualized experiments : JoVE · 2017Article
- Modeling Soft Tissue Damage and Failure Using a Combined Particle/Continuum Approach.Biomechanics and modeling in mechanobiology · 2017Article
- Biomechanical evaluation of the pathophysiologic developmental mechanisms of mitral valve prolapse: effect of valvular morphologic alteration.Medical & biological engineering & computing · 2016Article
- A microstructurally inspired damage model for early venous thrombus.Journal of the mechanical behavior of biomedical materials · 2015Article
- The role of mechanics during brain development.Journal of the mechanics and physics of solids · 2014Article
- Characterization of living skin using multi-view stereo and isogeometric analysis.Acta biomaterialia · 2014Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Despite their seemingly delicate appearance, thin biological membranes fulfill various crucial roles in the human body and can sustain substantial mechanical loads. Unlike engineering structures, biological membranes are able to grow and adapt to changes in their mechanical environment. Finite element modeling of biological growth holds the potential to better understand the interplay of membrane form and function and to reliably predict the effects of disease or medical intervention. However, standard continuum elements typically fail to represent thin biological membranes efficiently, accurately, and robustly. Moreover, continuum models are typically cumbersome to generate from surface-based medical imaging data. Here we propose a computational model for finite membrane growth using a classical midsurface representation compatible with standard shell elements. By assuming elastic incompressibility and membrane-only growth, the model a priori satisfies the zero-normal stress condition. To demonstrate its modular nature, we implement the membrane growth model into the general-purpose non-linear finite element package Abaqus/Standard using the concept of user subroutines. To probe efficiently and robustness, we simulate selected benchmark examples of growing biological membranes under different loading conditions. To demonstrate the clinical potential, we simulate the functional adaptation of a heart valve leaflet in ischemic cardiomyopathy. We believe that our novel approach will be widely applicable to simulate the adaptive chronic growth of thin biological structures including skin membranes, mucous membranes, fetal membranes, tympanic membranes, corneoscleral membranes, and heart valve membranes. Ultimately, our model can be used to identify diseased states, predict disease evolution, and guide the design of interventional or pharmaceutic therapies to arrest or revert disease progression.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.