ArticleBiomechanics and modeling in mechanobiology2017
Modeling Soft Tissue Damage and Failure Using a Combined Particle/Continuum Approach.
Article in Biomechanics and modeling in mechanobiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Bulk density-calibrated fiber networks reveal local weakness as the driver of protease-dependent aortic failure.International journal of engineering science · 2026Article
- Statistical mechanics of soft collagenous tissues: a constitutive model with damage for cerebral bridging veins.European biophysics journal : EBJ · 2026Article
- Prediction of tissue rupture from percolation of local strain heterogeneities for diagnostics.Communications medicine · 2025Article
- Mechanisms of aortic dissection: From pathological changes to experimental andProgress in materials science · 2025Article
- Aortic tissue stiffness and tensile strength are correlated with density changes following proteolytic treatment.Journal of biomechanics · 2024Article
- Multiscale Computational and Artificial Intelligence Models of Linear and Nonlinear Composites: A Review.Small science · 2024Article
- A method for defining tissue injury criteria reveals that ligament deformation thresholds are multimodal.Acta biomaterialia · 2023Article
- Can machine learning accelerate soft material parameter identification from complex mechanical test data?Biomechanics and modeling in mechanobiology · 2023Article
- On methodology and application of smoothed particle hydrodynamics in fluid, solid and biomechanics.Acta mechanica Sinica = Li xue xue bao · 2023Review
- Interfacing finite elements with deep neural operators for fast multiscale modeling of mechanics problems.Computer methods in applied mechanics and engineering · 2022Article
- Simulating progressive intramural damage leading to aortic dissection using DeepONet: an operator-regression neural network.Journal of the Royal Society, Interface · 2022Article
- A Review on Damage and Rupture Modelling for Soft Tissues.Bioengineering (Basel, Switzerland) · 2022Review
- A Coupled Biomechanical-Smoothed Particle Hydrodynamics Model for Horse Racing Tracks.Frontiers in bioengineering and biotechnology · 2022Article
- A numerical analysis of skin-PPE interaction to prevent facial tissue injury.Scientific reports · 2021Article
- Modeling lamellar disruption within the aortic wall using a particle-based approach.Scientific reports · 2019Article
- Episiotomy: the biomechanical impact of multiple small incisions during a normal vaginal delivery.Interface focus · 2019Article
- Particle-based computational modelling of arterial disease.Journal of the Royal Society, Interface · 2018Article
- An augmented iterative method for identifying a stress-free reference configuration in image-based biomechanical modeling.Journal of biomechanics · 2017Article
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Authors and funding
3 authors.
Funding
Abstract
Biological soft tissues experience damage and failure as a result of injury, disease, or simply age; examples include torn ligaments and arterial dissections. Given the complexity of tissue geometry and material behavior, computational models are often essential for studying both damage and failure. Yet, because of the need to account for discontinuous phenomena such as crazing, tearing, and rupturing, continuum methods are limited. Therefore, we model soft tissue damage and failure using a particle/continuum approach. Specifically, we combine continuum damage theory with Smoothed Particle Hydrodynamics (SPH). Because SPH is a meshless particle method, and particle connectivity is determined solely through a neighbor list, discontinuities can be readily modeled by modifying this list. We show, for the first time, that an anisotropic hyperelastic constitutive model commonly employed for modeling soft tissue can be conveniently implemented within a SPH framework and that SPH results show excellent agreement with analytical solutions for uniaxial and biaxial extension as well as finite element solutions for clamped uniaxial extension in 2D and 3D. We further develop a simple algorithm that automatically detects damaged particles and disconnects the spatial domain along rupture lines in 2D and rupture surfaces in 3D. We demonstrate the utility of this approach by simulating damage and failure under clamped uniaxial extension and in a peeling experiment of virtual soft tissue samples. In conclusion, SPH in combination with continuum damage theory may provide an accurate and efficient framework for modeling damage and failure in soft tissues.
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