Development of an ABAQUS plugin tool for periodic RVE homogenisation

Omairey, Sadik L.; Dunning, Peter D.; Sriramula, Srinivas

doi:10.1007/s00366-018-0616-4

Cited by 383 publications

(152 citation statements)

References 16 publications

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“…The homogenised elastic properties obtained using this tool came to good agreement with established experimental data for a 0.47 Vf ratio of the selected composite material [28]. In addition, tool outputs are verified against other available commercial FE homogenisation software, as detailed in Omairey et al [30]. The numerical error associated with RVE homogenisation caused by the finite element discretization is investigated so that an appropriate maximum mesh size can be chosen.…”

Section: Rve Homogenisation Methodsmentioning

confidence: 61%

“…Thus, it is necessary to apply node-to-node periodic conditions at which the deformed boundary surfaces can distort and no longer remain planes [28,29]. To achieve this, a plugin developed for ABAQUS CAE FE analysis software (ABAQUS Inc. 2013) by the authors' is used to automate the process of computing effective elastic properties of a fully-customised RVE [30].The tool calculates the effective elastic properties by applying the necessary constraint equations and imposing appropriate boundary displacements to satisfy the unified periodicity conditions, based on the concept of periodic RVE homogenisation [10]. The homogenised elastic properties obtained using this tool came to good agreement with established experimental data for a 0.47 Vf ratio of the selected composite material [28].…”

Section: Rve Homogenisation Methodsmentioning

confidence: 99%

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Influence of micro-scale uncertainties on the reliability of fibre-matrix composites

Omairey

Dunning

Sriramula

2018

Composite Structures

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This study investigates the effect of micro-scale geometric and material property uncertainties on the elastic properties and reliability of fibre reinforced composite materials. Composite materials are often designed using conservative design factors to account for a limited understanding of how multiscale uncertainties effect reliability. Structural reliability analysis can produce more efficient designs, but requires an understanding of how all sources uncertainty effect probability of failure. Previous studies have not considered micro-scale geometrical uncertainties and their combinations in a multiscale probabilistic-based reliability framework. Thus, this study will investigate the effect of numerous combinations of micro-scale material property and geometric uncertainties on the homogenised elastic properties. Furthermore, to account for the effect in a reliability-based framework, a novel surrogate modelling technique is developed to represent the uncertainties efficiently. The study concluded that the geometrical fibre stacking uncertainty is as influential as the widely investigated constituent material stiffness uncertainties. Consequently, representing the micro-scale geometric uncertainties within the developed multi-scale probabilistic-based framework improves the estimated stiffness. Thus probability of failure is reduced, compared with considering material property uncertainties only. Moreover, the framework clarified and highlighted the importance of representing fibre geometrical stacking uncertainty for a deeper understanding of their effect on composite stiffness properties.

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Section: Rve Homogenisation Methodsmentioning

confidence: 61%

Section: Rve Homogenisation Methodsmentioning

confidence: 99%

Influence of micro-scale uncertainties on the reliability of fibre-matrix composites

Omairey

Dunning

Sriramula

2018

Composite Structures

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“…where I is the identity for in-plane elasticity with synthetically ABAQUS is developed for this study to automatically program those periodic boundary conditions, the post-processing stages and the derivation of the homogenized coefficients as done by [49] for the numerical periodic homogenization to obtain an equivalent model. The convergence study, not described here, has led to a mesh with three layers of elements in the thickness of the joints, resulting in a total number of 124,567 finite elements for the running bond pattern structure, in a total number of 76,614 finite elements for the stack bond pattern structure and in a total number of 323,140 finite elements for the English bond pattern structure.…”

Section: Finite Element Derivation Of In-plane and Out-of-plane Homogmentioning

confidence: 99%

Artificial neural networks prediction of in-plane and out-of-plane homogenized coefficients of hollow blocks masonry wall

et al. 2020

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A masonry wall is a composite structure characterized by a large variety in geometrical and material parameters. The determination of the effective macroscopic properties, through the homogenization scheme, depends on a great number of variables. Thus, in order to replace heavy numerical simulation, in this paper, the use of artificial neural networks (ANN) is proposed to predict elastic membrane and bending constants of the equivalent Love-Kirchhoff plate of hollow concrete blocks masonry wall. To model the ANN, a numerical periodic homogenization in several parameters is used. To construct the model, five main material and geometrical input parameters are utilized. Multilayer perceptron neural networks are designed and trained (with the best selected ANN model) by the sets of input-output patterns using the backpropagation algorithm. As a result, in both training and testing phases, the developed ANN indicates high accuracy and precision in predicting the equivalent plate of a hollow masonry wall with insignificant error rates compared to FEM results.

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“…PBCs are necessary for periodicity to be maintained and to not overpredict stiffness when characterizing a single RVE, see e.g. Hammarberg et al [26], Suquet [32], Xia et al [33], Omairey et al [34]. A short description of PBC is given in Sect.…”

Section: Homogenized Finite Element Modelmentioning

confidence: 99%

Numerical evaluation of lightweight ultra high strength steel sandwich for energy absorption

et al. 2020

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Legislation regarding greenhouse gas emissions forces automotive manufacturers to bring forth new and innovative materials and structures for weight reduction of the body-in-white. The present work evaluates a lightweight ultra high strength steel sandwich concept, with perforated cores, for energy absorption applications. Hat-profile geometries, subjected to crushing, are studied numerically to evaluate specific energy absorption for the sandwich concept and solid hat-profiles of equivalent weight. Precise discretization of the perforated core requires large computational power. In the present work, this is addressed by homogenization, replacing the perforated core with a homogeneous material with equivalent mechanical properties. Input data for the equivalent material is obtained by analyzing a representative volume element, subjected to in-plane loading and out-of-plane bending/twisting using periodic boundary conditions. The homogenized sandwich reduces the number of finite elements and thereby computational time with approximately 95%, while maintaining accuracy with respect to force–displacement response and energy absorption. It is found that specific energy absorption is increased with 8–17%, when comparing solid and sandwich hat profiles of equivalent weight, and that a weight saving of at least 6% is possible for equivalent performance.

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Development of an ABAQUS plugin tool for periodic RVE homogenisation

Cited by 383 publications

References 16 publications

Influence of micro-scale uncertainties on the reliability of fibre-matrix composites

Influence of micro-scale uncertainties on the reliability of fibre-matrix composites

Artificial neural networks prediction of in-plane and out-of-plane homogenized coefficients of hollow blocks masonry wall

Numerical evaluation of lightweight ultra high strength steel sandwich for energy absorption

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