Eulerian Formulation Using Lagrangian Marker Particles with Reference Map Technique for Fluid-structure Interaction Problem

Shimada, Tokimasa; Nishiguchi, Koji M.; Peco, Christian; Okazawa, Shigenobu; Tsubokura, Makoto

doi:10.23967/coupled.2021.025

Cited by 3 publications

(2 citation statements)

References 9 publications

(22 reference statements)

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“…The MOOSE framework, primarily developed at the Idaho National Laboratory, uses LibMesh [47] and PETSc [48] to achieve enhanced efficiency and parallelization capabilities. These features are leveraged in our highperformance computing environment on Penn State University's ROAR cluster [49] and through our numerical techniques developed for large-scale biological simulations [50][51][52][53][54]. MOOSE stands out as a specialized platform for multi-physics field simulations [55], encompassing solid mechanics, dynamics, and contact mechanics, among others [56].…”

Section: Introductionmentioning

confidence: 99%

Nested structure role in the mechanical response of spicule inspired fibers

Xiao,

Fani,

Tavangarian

et al. 2024

Bioinspir. Biomim.

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Euplectella aspergillum marine sponge spicules are renowned for their remarkable strength and toughness. These spicules exhibit a unique concentric layering structure, which contributes to their exceptional mechanical resistance. In this study, finite element method simulations were used to comprehensively investigate the effect of nested cylindrical structures on the mechanical properties of spicules. This investigation leveraged scanning electron microscopy images to guide the computational modeling of the microstructure and the results were validated by three-point bending tests of 3D-printed spicule-inspired structures. The numerical analyses showed that the nested structure of spicules induces stress and strain jumps on the layer interfaces, reducing the load on critical zones of the fiber and increasing its toughness. It was found that this effect shows a tapering enhancement as the number of layers increases, which combines with a threshold related to the 3D-printing manufacturability to suggest a compromise for optimal performance. A comprehensive evaluation of the mechanical properties of these fibers can assist in developing a new generation of bioinspired structures with practical real-world applications.

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Section: Introductionmentioning

confidence: 99%

Nested structure role in the mechanical response of spicule inspired fibers

Xiao,

Fani,

Tavangarian

et al. 2024

Bioinspir. Biomim.

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“…33 We solve our equations with the finite element method and advanced discretization techniques that we developed for large-scale fluid-structure interaction. 34,35…”

Section: Introductionmentioning

confidence: 99%

Coding soft matter with bionetworks-inspired emergent principles

Ghanbari

Sgarrella

Peco

2023

Bioinspiration, Biomimetics, and Bioreplication XIII

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Soft materials are attractive to engineers due to their low density, ability to sustain large deformations and customization of properties. These custom properties are realized by tailoring the microstructural architecture and optimizing the constituent materials. However, achieving complex behavior at the macroscale is difficult through conventional engineering top-down approaches. Instead, we draw inspiration from a more biological bottom-up approach based on the concept of emergence. Slime molds and fungi are fascinating models for emergence; formed by aggregation of almost identical cells, their internal networks optimize transport better than engineers, solve mazes, detect masses at a distance, or memorize periodic events. We establish here a theoretical and computational framework to explain, quantify and reproduce how this feedback between macroscopic features and local tuning of mechanical properties determines an emergent coordinated response of the network morphology. These networks have the ability to grow, survive, or die in the presence of different concentrations of nutrients and to redistribute them, thus optimizing their proliferation. We propose a phase-field scalar variable to represent the network matrix evolution and a diffusive-advective process for nutrient distribution. This framework enables high-fidelity simulations of slime molds in three-dimensional space, which are challenging due to the coupled physics involved, high-order partial differential equations, and the existence of a highly complex evolving geometry. The emergent properties of these organisms are similar in nature to tissues with transport networks, and we can exploit them to design self-healing materials, fungal sustainable building elements, or even coordinate drone swarms. This investigation is a road to the microstructural design of active soft matter, an object of interest in many fields of engineering and science.

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