5 research outputs found

    Avalanches, percolation, and stochastic damage evolution in disordered media

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    Disordered materials are ubiquitous in nature and engineering. The physical properties of such random heterogeneous materials are strongly coupled with the strength and spatial distribution of the disorder. Disorder leads to fluctuations in material properties which become relevant for mesoscales below the representative volume element (RVE) size. The overarching theme of this dissertation is modeling apparent properties of disordered systems on sub-RVE lengthscales using numerical techniques that are based on an explicit representation of the material microstructure. The classical picture of elastic-plastic transition as a smooth process is challenged by the compression experiments on micro/nano pillars where plastic strain was observed to accumulate intermittently. Using a discrete spring lattice modeling approach, the intermittent plastic strain avalanche behavior is well captured such that the event sizes follow a power-law distribution with an exponent that is in agreement with experiments, theory, and other models. Then using finite-size scaling analysis, the elastic-plastic transition is shown to belong to the long-range correlated percolation class, a second-order phase transition. Interestingly, this behavior is in contrast to the elastic-brittle transition in disordered media which is abrupt, akin to a first-order phase transition. The elastic-brittle transition in disordered media is characterized by foreshadowing of the final macroscopic failure by accumulation of significant amount of distributed damage which results in precursory events observed as avalanches in experiments and simulations. We use a jump Markov process to model the stochastic evolution of damage. The Markov process is informed by the avalanche size distribution for a given quasibrittle material. The fiber bundle model (FBM) is used as an example to test the viability of the proposed approach. The stochasticity and size-dependence of the damage evolution process are inherently captured through the inputs provided for the jump Markov process. The avalanche and failure strength distributions are used to describe the effect of microscopic information present in the form of the disorder on the macroscopic damage evolution behavior. We also investigated the effective thermal conductivity of spatially correlated two-phase microstructures. The presence of such spatial correlations is observed in interpenetrating phase composites (IPCs) where either phase is interconnected throughout the microstructure. A Gaussian correlation function based method is employed to generate numerical microstructures that are statistically similar to the experimentally captured micrographs. Scale-dependent bounds on the effective thermal conductivity are then obtained using the Hill-Mandel macrohomogeneity condition. A scaling function is formulated to describe the transition from statistical volume element (SVE) to representative volume element (RVE), as a function of the mesoscale, the spatial correlation length of the microstructure, the volume fraction, and the contrast between the phases. A material scaling diagram is also constructed which allows estimation of the RVE size, to within a chosen accuracy, of a given microstructure with short-range spatial correlations. Conductive polymer nanocomposites have emerged as an important class of (disordered) materials with a wide range of conductive, semiconductive, and static dissipative applications. Dramatic improvement in the electrical conductivity can be obtained by adding marginal amounts of nanofillers such as carbon nanotubes (CNTs), graphene nanoplatelets (GNPs), and carbon black (CB). This phenomenon is induced by the formation of a percolating network of nanofillers interconnected electrically by the quantum tunneling effect. A continuum percolation model along with the critical path approximation is used to investigate the effect of various filler attributes such as filler size polydispersity and alignment on the effective electrical behavior of the nanocomposite. The model proves to be an effective tool to understand the limitations of theoretical models and analyze experimental data to extract key parameters which would improve the predictive capability of this approach

    Active superelasticity in three-dimensional epithelia of controlled shape

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    Fundamental biological processes are carried out by curved epithelial sheets that enclose a pressurized lumen. How these sheets develop and withstand three-dimensional deformations has remained unclear. Here we combine measurements of epithelial tension and shape with theoretical modelling to show that epithelial sheets are active superelastic materials. We produce arrays of epithelial domes with controlled geometry. Quantification of luminal pressure and epithelial tension reveals a tensional plateau over several-fold areal strains. These extreme strains in the tissue are accommodated by highly heterogeneous strains at a cellular level, in seeming contradiction to the measured tensional uniformity. This phenomenon is reminiscent of superelasticity, a behaviour that is generally attributed to microscopic material instabilities in metal alloys. We show that in epithelial cells this instability is triggered by a stretch-induced dilution of the actin cortex, and is rescued by the intermediate filament network. Our study reveals a type of mechanical behaviour—which we term active superelasticity—that enables epithelial sheets to sustain extreme stretching under constant tension.Peer ReviewedPostprint (author's final draft

    Mechanical compartmentalization of the intestinal organoid enables crypt folding and collective cell migration

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    Intestinal organoids capture essential features of the intestinal epithelium such as crypt folding, cellular compartmentalization and collective movements. Each of these processes and their coordination require patterned forces that are at present unknown. Here we map three-dimensional cellular forces in mouse intestinal organoids grown on soft hydrogels. We show that these organoids exhibit a non-monotonic stress distribution that defines mechanical and functional compartments. The stem cell compartment pushes the extracellular matrix and folds through apical constriction, whereas the transit amplifying zone pulls the extracellular matrix and elongates through basal constriction. The size of the stem cell compartment depends on the extracellular-matrix stiffness and endogenous cellular forces. Computational modelling reveals that crypt shape and force distribution rely on cell surface tensions following cortical actomyosin density. Finally, cells are pulled out of the crypt along a gradient of increasing tension. Our study unveils how patterned forces enable compartmentalization, folding and collective migration in the intestinal epithelium.Peer ReviewedPostprint (author's final draft

    Active superelasticity in three-dimensional epithelia of controlled shape

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    Fundamental biological processes are carried out by curved epithelial sheets that enclose a pressurized lumen. How these sheets develop and withstand three-dimensional deformations has remained unclear. Here we combine measurements of epithelial tension and shape with theoretical modelling to show that epithelial sheets are active superelastic materials. We produce arrays of epithelial domes with controlled geometry. Quantification of luminal pressure and epithelial tension reveals a tensional plateau over several-fold areal strains. These extreme strains in the tissue are accommodated by highly heterogeneous strains at a cellular level, in seeming contradiction to the measured tensional uniformity. This phenomenon is reminiscent of superelasticity, a behaviour that is generally attributed to microscopic material instabilities in metal alloys. We show that in epithelial cells this instability is triggered by a stretch-induced dilution of the actin cortex, and is rescued by the intermediate filament network. Our study reveals a type of mechanical behaviour—which we term active superelasticity—that enables epithelial sheets to sustain extreme stretching under constant tension.Peer Reviewe

    The 2020 motile active matter roadmap

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    Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.Activity and autonomous motion are fundamental in living and engineering systems. This has stimulated the new field of 'active matter' in recent years, which focuses on the physical aspects of propulsion mechanisms, and on motility-induced emergent collective behavior of a larger number of identical agents. The scale of agents ranges from nanomotors and microswimmers, to cells, fish, birds, and people. Inspired by biological microswimmers, various designs of autonomous synthetic nano- and micromachines have been proposed. Such machines provide the basis for multifunctional, highly responsive, intelligent (artificial) active materials, which exhibit emergent behavior and the ability to perform tasks in response to external stimuli. A major challenge for understanding and designing active matter is their inherent nonequilibrium nature due to persistent energy consumption, which invalidates equilibrium concepts such as free energy, detailed balance, and time-reversal symmetry. Unraveling, predicting, and controlling the behavior of active matter is a truly interdisciplinary endeavor at the interface of biology, chemistry, ecology, engineering, mathematics, and physics. The vast complexity of phenomena and mechanisms involved in the self-organization and dynamics of motile active matter comprises a major challenge. Hence, to advance, and eventually reach a comprehensive understanding, this important research area requires a concerted, synergetic approach of the various disciplines. The 2020 motile active matter roadmap of Journal of Physics: Condensed Matter addresses the current state of the art of the field and provides guidance for both students as well as established scientists in their efforts to advance this fascinating area.Peer ReviewedPostprint (author's final draft
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