Computationally-Efficient Structural Models for Analysis of Woven Composites

Accurately predicting failure in woven composites requires knowledge of the stress states within the meso-scale structure of the fabric reinforcement. Multicontinuum technology provides a computationally efficient way of extracting constituent stresses and strains from a structural-level finite element analysis. This study investigates the value in extending the capabilities of multicontinuum technology to materials with complex heterogeneity that could benefit from the definition of many constituents. To determine the feasibility of this extension, a meso-scale finite element model of a triaxial braid was developed and used as a test case. The model’s predictions of initial matrix failure were in good agreement with the limited experimental data. Also, trends in initial failure predictions for multi-axial load cases are in agreement with physically intuitive expectations. These results show promise for the success of future research in extending multicontinuum technology for application to composites with complex multiscale heterogeneity.

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PROGRESSIVE DAMAGE RESPONSE OF 3D WOVEN COMPOSITES VIA THE MULTISCALE RECURSIVE MICROMECHANICS SOLUTION WITH TAILORED FIDELITY

10.12783/asc36/35943 ◽

2021 ◽

Author(s):

BRETT A. BEDNARCYK ◽

EVAN J. PINEDA ◽

TRENTON M. RICKS ◽

SUBODH K. MITAL

Keyword(s):

Progressive Failure ◽

Woven Composites ◽

Resin Matrix ◽

Length Scale ◽

Computationally Efficient ◽

Damage Models ◽

Damage Response ◽

Generalized Method Of Cells ◽

3D Woven Composites ◽

Different Levels

Progressive failure simulations have been performed for orthogonal 3D woven composites consisting of RTM6 resin matrix and AS4 carbon fibers. The Multiscale Recursive Micromechanics approach has been used, which, while being computationally efficient, captures the primary effects of the microstructure at each considered length scale. This approach also enables use of any micromechanics theory at any length scale, and herein, the fidelity of the chosen theories across the scales has been tailored to strike a balance with computational efficiency. The Mori-Tanaka method is employed at the lowest length scale, the Generalized Method of Cells is used at intermediate scales, and the High-Fidelity Generalized Method of Cells is used at the highest woven composite repeating unit cell scale. Furthermore, two different damage models, also with different levels of fidelity and efficiency, have been used for the resin material at the lowest length scale. Results for the mechanical behavior in response to loading in various directions are compared for the two damage models and with available test data.

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Computationally efficient modeling of woven composites under uniaxial stress

Modelling of Damage Processes in Biocomposites, Fibre-Reinforced Composites and Hybrid Composites ◽

10.1016/b978-0-08-102289-4.00006-0 ◽

2019 ◽

pp. 103-114

Author(s):

Kamarul-Azhar Kamarudin ◽

Al Emran Ismail ◽

Iskandar Abdul Hamid ◽

Ahmad Sufian Abdullah

Keyword(s):

Uniaxial Stress ◽

Woven Composites ◽

Computationally Efficient ◽

Efficient Modeling

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Multi-scale failure analysis of plain-woven composites

The Journal of Strain Analysis for Engineering Design ◽

10.1177/0309324712448301 ◽

2012 ◽

Vol 47 (6) ◽

pp. 379-388 ◽

Cited By ~ 14

Author(s):

Omar Bacarreza ◽

MH Aliabadi ◽

Alfonso Apicella

Keyword(s):

Damage Mechanics ◽

Effective Properties ◽

Progressive Failure ◽

Continuum Damage Mechanics ◽

Internal Variable ◽

Homogenization Method ◽

Woven Composites ◽

Computationally Efficient ◽

Efficient Manner ◽

Multi Scale

A numerical model capable of dealing with progressive degradation of plain woven composites in a computationally efficient manner is presented in this article. A semi-analytical homogenization method is used to derive effective properties of the composite from the material properties of the constituents. The progressive failure is described using nonlocal continuum damage mechanics where the driving internal variable for the damage is the nonlocal strain. The model was implemented into Abaqus/Explicit, where the failure of a longitudinal tension and an open hole tension specimens were simulated in a multi-scale manner and verified experimentally.

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Validation of the Short Dark Triad in a German Sample

European Journal of Psychological Assessment ◽

10.1027/1015-5759/a000617 ◽

2020 ◽

pp. 1-12

Author(s):

Caroline Wehner ◽

Ulrike Maaß ◽

Marius Leckelt ◽

Mitja D. Back ◽

Matthias Ziegler

Keyword(s):

Sensation Seeking ◽

Factor Model ◽

Structural Models ◽

Self Esteem ◽

Dark Triad ◽

Fit Indices ◽

Nomological Network ◽

Competitive Test ◽

Three Factor ◽

Behavioral Criteria

Abstract. The structure, correlates, and assessment of the Dark Triad are widely discussed in several fields of psychology. Based on the German version of the Short Dark Triad (SDT), we add to this by (a) providing a competitive test of existing structural models, (b) testing the nomological network, and (c) proposing an ultrashort 9-item version of the SDT (uSDT). A sample of N = 969 participants provided data on the SDT and a range of further measures. Our competitive test of five structural models revealed that fit indices and nomological network assumptions were best met in a three-factor model, with separate factors for psychopathy, Machiavellianism, and narcissism. The results provided an extensive overview of the raw, unique, and shared associations of Dark Triad dimensions with narcissism facets, sadism, impulsivity, self-esteem, sensation seeking, the Big Five, maladaptive personality traits, sociosexual orientation, and behavioral criteria. Finally, the uSDT exhibited satisfactory psychometric properties. The highest overlap in expected relations between SDT and uSDT, and convergent and discriminant measures was also found for the three-factor model. Our study underlines the utility of a three-factor model of the Dark Triad, extends findings on its nomological network, and provides an ultrashort instrument.

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