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fiber network

Mohammad Refatul Islam's picture

Random fiber networks with inclusions: The mechanism of reinforcement

The mechanical behavior of athermal random fiber networks embedding particulate inclusions is studied in this work. Composites in which the filler size is comparable with the mean segment length of the network are considered. Inclusions are randomly distributed in the network at various volume fractions, and cases in which fibers are rigidly bonded to fillers and in which no such bonding is imposed are studied separately.

Mohammad Refatul Islam's picture

Parameters controlling the strength of stochastic fibrous materials

Many materials of everyday use are fibrous and their strength is important in most applications. In this work we study the dependence of the strength of random fiber networks on structural parameters such as the network density, cross-link density, fiber tortuosity, and the strength of the inter-fiber cross-links. Athermal networks of cellular and fibrous type are considered. We conclude that the network strength scales linearly with the cross-link number density and with the cross-link strength for a broad range of network parameters, and for both types of networks considered.

Mohammad Refatul Islam's picture

Stochastic continuum model for mycelium-based bio-foam

Mycelium, the root structure of fungi, grows naturally as a biodegradable filamentous material. This unique material has highly heterogeneous microstructure with pronounced spatial variability in density and exhibits strongly non-linear mechanical behavior. In this work we explore the material response in compression, under cyclic deformation, and develop an experimentally-validated multiscale model for its mechanical behavior. The deformation localizes in stochastically distributed sub-domains which eventually percolate to form macroscopic bands of high density material.

Mohammad Refatul Islam's picture

Mechanical behavior of mycelium-based particulate composites

We study the mechanical behavior of mycelium composites reinforced with biodegradable agro-waste particles. In the composite, the mycelium acts as a supportive matrix which binds reinforcing particles within its filamentous network structure. The compressive behavior of mycelium composites is investigated using an integrated experimental and computational approach.

Mohammad Refatul Islam's picture

Poisson Contraction and Fiber Kinematics in Tissue: Insight from Collagen Network Simulations

Connective tissue mechanics is highly non-linear, exhibits a strong Poisson effect and is associated with significant collagen fiber re-arrangement. Although the general features of the stress-strain behavior in tension and compression and under uniaxial, biaxial and shear loading have been discussed extensively, especially from the macroscopic perspective, the Poisson effect and the kinematics of filaments have received less attention. In general, the relationship between the microscopic fiber network mechanics and the macroscopic experimental observations remains poorly defined.

Two PhD positions in computational and experimental multiscale mechanics of materials – Eindhoven, Netherlands

Our Mechanics of Materials Group at Eindhoven University of Technology, Netherlands, in association with Materials innovation institute M2i, has two openings for talented PhD students in the field of multiscale mechanics of materials. They are part of a project on multiscale hygro-mechanics of paper. The industrial background of the project is in inkjet-printing. One opening is on experimental characterisation and the other on multiscale computational modelling.
For exceptionally suited young doctors we may consider changing the positions into PostDoc positions.

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