Multi-scale modelling and simulation of a highly deformable embedded biomedical textile mesh composite

Sodhani, Deepanshu; Reese, Stefanie; Jockenhoevel, Stefan; Mela, Petra; Stapleton, Scott E.

doi:10.1016/j.compositesb.2018.01.010

Cited by 21 publications

(16 citation statements)

References 45 publications

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“…Among the main perspectives of this work, the present multi-scale model could be implemented into the FE 2 computational scheme (Asada and Ohno, 2007; Feyel, 2003; Tchalla et al., 2013; Tikarrouchine et al., 2018, 2019), for performing large-scale structure analyses. In a computationally cheaper strategy, the multi-scale model could also be utilized to generate a ‘virtual tests’ in a view of identifying purely phenomenological models for the composite (Achour, 2017; Garoz et al., 2017; Sodhani et al., 2018). Another perspective would be to extend the proposed multi-scale model to fully coupled thermomechanical analyses (Chatzigeorgiou et al., 2016, 2018; Tikarrouchine et al., 2019).…”

Section: Discussionmentioning

confidence: 99%

Fully integrated multi-scale modelling of damage and time-dependency in thermoplastic-based woven composites

Praud

Chatzigeorgiou

Meraghni

2020

International Journal of Damage Mechanics

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In this work, a multi-scale model established from the concept of periodic homogenization is utilized to predict the cyclic and time-dependent response of thermoplastic-based woven composites. The macroscopic behaviour of the composite is determined from finite element simulations of the representative unit cell of the periodic microstructure, where the local non-linear constitutive laws of the components are directly integrated, namely, the matrix and the yarns. The thermoplastic matrix is described by a phenomenological multi-mechanisms constitutive model accounting for viscoelasticity, viscoplasticity and ductile damage. For the yarns, a hybrid micromechanical–phenomenological constitutive model accounting for anisotropic damage and anelasticity induced by the presence of a diffuse micro-crack network is utilized. The capabilities of the overall multi-scale model are validated by comparing the numerical predictions with experimental data. Further illustrative examples are also provided, where the composite undergoes time-dependent deformations under uni-axial and non-proportional multi-axial loading paths. The multi-scale model is also employed to analyze the influence of the local deformation processes on the macroscopic response of the composite.

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Section: Discussionmentioning

confidence: 99%

Fully integrated multi-scale modelling of damage and time-dependency in thermoplastic-based woven composites

Praud

Chatzigeorgiou

Meraghni

2020

International Journal of Damage Mechanics

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“…Current biomimetic structures are developed intuitively without investigation of mechanical characteristics based on mechanisms of deformation due to the complexity of quantitative evaluation and lack of understanding of deformation mechanisms. 224 Mismatch between engineered material and natural tissue can lead to material failure. Thus, proper evaluation techniques, as well as experimental characterization of multiscale properties, must be developed.…”

Section: Conclusion and Outlooksmentioning

confidence: 99%

Reinforced Gels and Elastomers for Biomedical and Soft Robotics Applications

Zhalmuratova

Chung

2020

ACS Appl. Polym. Mater.

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Natural tissues possess a so-called J-shaped strain-stiffening behavior, being soft and compliant at small strains followed by a rapid stiffening at higher strains to prevent tissue damage. In addition, they have significant anisotropy and local variations of mechanical properties that are difficult to reproduce with homogeneous materials. Inspired by many biological organisms, biomimetic and soft robotics research has been focusing on composites of soft components being reinforced by structured stiff components. Especially, structures from mature textile technology and recently emerging additive manufacturing techniques are effective in achieving complex biomimetic structures in a deterministic manner. This review focuses on composites of soft elastomers and gels reinforced by woven or knitted fibers and 3D printed structures, often with conductive or magnetic functionalities for active actuation. Discussions include describing the property requirements from biomedical and soft robotics applications with examples of specific cases, followed by a summary of a few technical solutions that have been suggested. For soft matrix materials, we focus on silicone elastomers because they are the most widely used for biomedical and soft robotics applications. Among reinforcements, knitted/woven fabrics, kirigami/origami structures, and 3D printed metamaterial reinforcements are the topics of interest because their local and global structure can be designed to govern properties of the composites and direct complex motions of soft robots in a deterministic manner. Then, application examples in the fields of biomimetic materials, soft robotics, and tissue engineering are reviewed. Finally, we emphasize the importance of advancing numerical modeling and simulation tools to predict the mechanical properties and actuation behavior of the designed composite materials.

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“…For future work, a series of axial and biaxial tests will be conducted to fit an anisotropic hyperelastic model for a more exact representation of the textile response. Anisotropic material models such as those described in research by Khieˆm et al (2016), 47 Yeoman et al (2010), 49 Reese (2003), 50 Reese and Wriggers (2001), 51 Stapleton et al (2015), 52 Sodhani et al (2018) 53 and Sodhani et al (2016) 54 will be applied.…”

Section: Materials Modelsmentioning

confidence: 99%

Finite element modeling to predict the steady-state structural behavior of 4D textiles

Stapleton

Kaufmann

Krieger

et al. 2018

Textile Research Journal

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Four dimensional (4D) textiles consist of a textile with a printed polymeric grid, where deformation of the grid is induced by introducing residual stresses in the textile, in this case through pre-stretching of the textile substrate prior to printing. The fourth dimension refers to the ability of the structure to change shape over time by changing the residual stress in the textile. In order to design a useful component for a specific application, the material properties of constituents, direction and amount of residual stress, anisotropy of the textile substrate, geometry of the printed polymer, and pattern of the printed grid can all be altered. Due to the large amount of design variables involved, a validated modeling technique that can account for the complex material behavior of the soft, flexible textile under large strains and deformations along with the bifurcation and stability behavior of buckling beams is needed. In this study, an initial model was created to capture the time-independent buckling behavior and compared with experiments for rectangular elements of varying geometry and pre-strain. Once the model was calibrated, it fit experiments well, although additional advancements must be made to predict the nonlinear behavior of a wide variety of architectures with further accuracy. Finally, modeling strategies for large grids are laid out and discussed, and preliminary results are shown. Although this model did not include the transient nature of shape change, it can serve as a precursor for designing 4D Textiles and eventually predicting their time-dependent behavior under loading changes.

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Multi-scale modelling and simulation of a highly deformable embedded biomedical textile mesh composite

Cited by 21 publications

References 45 publications

Fully integrated multi-scale modelling of damage and time-dependency in thermoplastic-based woven composites

Fully integrated multi-scale modelling of damage and time-dependency in thermoplastic-based woven composites

Reinforced Gels and Elastomers for Biomedical and Soft Robotics Applications

Finite element modeling to predict the steady-state structural behavior of 4D textiles

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