Strain localization and strain propagation in collapsible solid foams

Zaiser, Michael; Mill, Frank; Konstantinidis, Avraam; Aifantis, Katerina E.

doi:10.1016/j.msea.2012.12.038

Cited by 24 publications

(12 citation statements)

References 16 publications

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“…Firstly, upon impact, localized damage can be introduced into the foam-based system and thus, the energy absorption capacity of the system cannot be fully utilized. [9][10][11] Secondly, as the loading speed increases, the foam-based system may not respond fast enough to the external loading due to the length scale of the unit cell, which is typically on the micrometer level. Consequently, the incident energy can go through the protection layer with negligible mitigation and cause severe damage.…”

Section: Introductionmentioning

confidence: 99%

Liquid marble: A novel liquid nanofoam structure for energy absorption

2017

AIP Advances

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The liquid nanofoam (LN), a system composed of liquid and hydrophobic nanoporous particles, is a promising energy absorbing material. Despite its excellent energy absorbing capabilities under quasi-static conditions, the LN’s performance is limited under dynamic impacts due to its heterogeneity. We hypothesize that the energy absorption capacity of the LN can be increased by reconfiguration of the material into a liquid marble form. To test this hypothesis, we have prepared the LN sample in two different configurations, one with the heterogeneous layered structure and the other with a macroscopically homogeneous liquid marble structure. The mechanical behavior of these two types of LN was examined by quasi-static compression tests and dynamic impact tests. We demonstrated that although both types of LN exhibited comparable quasi-static energy absorption capacity, the liquid marble form of LN showed better performance under dynamic impacts. These findings suggest that the liquid marble form is the preferred LN structure under blunt impact and shed lights on the design of next-generation energy absorbing materials and structures.

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Section: Introductionmentioning

confidence: 99%

Liquid marble: A novel liquid nanofoam structure for energy absorption

2017

AIP Advances

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“…Thus, randomness entered as an initial condition into the gradient plasticity formulation. The implementation of such stochasticity-enhanced gradient plasticity models through their implementation with cellular automata led to the derivation of a number of results in good agreement with experimental observations in the above applications [5][6][7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 82%

“…Each cell's yield stress is assumed to follow a specific distribution with a certain mean and variance. In previous works [6][7][8][9][10][11] the local (cell) yield stresses were assumed to follow a Weibull distribution, the statistical characteristics of which were either measured experimentally [1] or calculated in order for the simulation results to fit the experimental ones. Thus, the local yield stress was assumed to be of the form (1 ) y y w , with being a Weibull distributed random variable.…”

Section: Stochasticity-enhanced Gradient Plasticity Modelmentioning

confidence: 99%

“…Similar ideas have been used earlier by Zaiser and Aifantis [5] for modeling the crushing of metallic foams. The same formulation was utilized later for modeling snow avalanches [6], interfacial cracking [7][8], metallic foams [9][10], as well as Ni micropillar and metallic glass nanopillar [11] compression. In these works, the stochastic component of the local strength at each material point was assumed to be a random variable chosen from a certain distribution (e.g.…”

Section: Introductionmentioning

confidence: 99%

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On the combined gradient-stochastic plasticity model: Application to Mo-micropillar compression

Konstantinidis

Zhang²,

Aifantis

2015

AIP Conference Proceedings

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“…As in Refs. [22,23], different simulations were performed for different shape parameters w of the Weibull distribution of u ij , thus imposing gradually stronger heterogeneity: a higher w corresponds to a higher variability in the corresponding distribution and, as a result, to a higher heterogeneity. It can be seen that the stronger the heterogeneity is, the higher the b value is, in accordance with our derivation in Eq.…”

Section: Ca Simulationsmentioning

confidence: 99%

A statistical study of precursor activity in rain-induced landslides

Avlonitis

Efremidis

Konstantinidis

2014

Journal of the Mechanical Behavior of Materials

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Spring-block models were introduced several years ago to model avalanche-like dynamics for catastrophic landslides. This article aims to address precursor phenomena in rain-induced landslides through the enrichment of a two-dimensional spring-block model with displacement gradients and stochasticity. This approach is along the lines of Aifantis and coworkers, who introduced deterministic gradients to stabilize material behavior in the softening regime and later expanded on it by introducing stochastic terms to model the competition between deterministic gradients and random effects. To this end, an appropriate stochastic constitutive relation, introducing an effective dissipation parameter (which is related to structural heterogeneity and deformation processes at the failure plane) is used. It is shown that there is definite precursor activity before rain-induced landslides that can be modeled by a process of material yielding at the failure plane (a "weak" plane at a certain depth, parallel to the surface of the soil or rock mass, over which landslide takes place). This activity is related to the exponent b of the power-law distribution of the slip events within the failure plane. Cellular automaton simulations were used to verify the analytical predictions, which can be useful to geoscientists and engineers, as an early prediction of the initiation of a landslide can minimize its catastrophic results through proper safety and precautionary measures.

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Strain localization and strain propagation in collapsible solid foams

Cited by 24 publications

References 16 publications

Liquid marble: A novel liquid nanofoam structure for energy absorption

Liquid marble: A novel liquid nanofoam structure for energy absorption

On the combined gradient-stochastic plasticity model: Application to Mo-micropillar compression

A statistical study of precursor activity in rain-induced landslides

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