Prediction of progressive damage and strength of IM7/977-3 composites using the Eigendeformation-based homogenization approach: Static loading

Bogdanor, Michael; Oskay, Caglar

doi:10.1177/0021998316650982

Cited by 28 publications

(12 citation statements)

References 28 publications

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“…Although this optimization procedure was proved effective in the identification of satisfactory partitions, computational exhaustiveness in the case of densely meshed microstructure for searching of an optimal space could still not be ignored, making this formulation dependent on element size. Another partitioning method based on the failure modes of the microconstituents was suggested by Bogdanor, and Oskay [29]. Various damage mechanisms, i.e.…”

Section: Partitioning Strategymentioning

confidence: 99%

Strain localization in reduced-order asymptotic homogenization

Singh

Mahajan

2019

Mathematics and Mechanics of Solids

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A reduced-order asymptotic homogenization-based multiscale technique that can capture damage and inelastic effects in composite materials is proposed. This technique is based on a two-scale homogenization procedure where eigenstrain representation accounts for the inelastic response and the computational efforts are alleviated by a reduction-of-order technique. Macroscale stress is derived by calculating the influence tensors from analysis of a representative volume element. At microscale, the damage in the material is modeled using a framework based on continuum damage mechanics. To solve the problem of strain localization, a method of alteration of the stress–strain relation of microconstituents based on the dissipated fracture energy in a crack band is implemented. The issue of spurious postfailure artificial stiffness at macroscale is discussed and the effect of increasing the order to alleviate this problem is checked. Verification studies demonstrated that the proposed formulation predicts the macroscale response and also captures the damage- and plasticity-induced inelastic strains.

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Section: Partitioning Strategymentioning

confidence: 99%

Strain localization in reduced-order asymptotic homogenization

Singh

Mahajan

2019

Mathematics and Mechanics of Solids

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“…Some sources of error for the blind compression case that were previously discussed include the erroneous value for X c during model calibration and the fact that several analysts used only the longitudinal tensile modulus value (E 1T ) instead of using the measured longitudinal compression modulus (E 1C ). See literature 4–10 for details on specific model changes during the recalibration phase of the exercise.…”

Section: Overall Observations and Lessons Learnedmentioning

confidence: 99%

Comparison of composite damage growth tools for static behavior of notched composite laminates

Engelstad

Clay

2016

Journal of Composite Materials

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This paper provides overall comparisons of the static results of an Air Force Research Laboratory exploration into the state of the art of existing technology in composite progressive damage analysis. In this study, blind and re-calibration bench-marking exercises were performed using nine different composite progressive damage analysis codes on unnotched and notched (open-hole) composite coupons under both static and fatigue loading. This paper summarizes the results of the static portion of this program. Comparisons are made herein of specimen stiffness and strength predictions against each other and the test data. Overall percent error data is presented, as well as a list of observations and lessons learned during this year-long effort.

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“…The fatigue prediction exercise performed as a part of the DTDP program and described below followed a similar prediction study outlined in Bogdanor and Oskay. 40 First, a suite of calibration experiments performed on simple layups were used to calibrate the model parameters. The calibrated model was then employed to perform blind predictions of specimen stiffness degradation and damage evolution as a function of load cycles, as well as residual strength after fatigue of three composite layups.…”

Section: Calibration Blind Prediction and Recalibration Proceduresmentioning

confidence: 99%

“…[21][22][23][24][25][26][27][28] Especially in conjunction with a form of model order reduction technique, 25,[29][30][31][32][33][34] a number of multiscale approaches have been proposed to study the behavior of composite materials. 20,23,[35][36][37][38][39][40] Multiscale principles have also been applied to address the disparate time scales in the fatigue life prediction problem. Perhaps the most commonly used and simplest multiple time scale approach is block cycle modeling.…”

Section: Introductionmentioning

confidence: 99%

Prediction of progressive fatigue damage and failure behavior of IM7/977-3 composites using the reduced-order multiple space-time homogenization approach

Bogdanor

Oskay

2016

Journal of Composite Materials

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This manuscript presents the blind prediction of fatigue life performance in three laminated carbon fiber reinforced polymer composite layups using a reduced-order space-time homogenization model. To bridge the spatial scales, the modeling approach relies on the Eigendeformation-based reduced order homogenization method. To bridge the time scales associated with a single load cycle and the overall life of the composite, a homogenization-based accelerated multiple-time-scale integrator with adaptive time stepping capability is employed. The proposed multiscale modeling approach was used to predict the evolution of composite stiffness and progressive damage accumulation as a function of loading cycles, as well as residual strength after fatigue in tension and compression, for three layups ([0,45,90,−45]2 s, [30,60,90,−60,−30]2 s, and [60,0,−60]3 s). Following blind prediction, the experimental data from the blind prediction specimens were employed to better understand the failure mechanisms and recalibrate the model. This study was performed as a part of the Air Force Research Laboratory's “Damage Tolerant Design Principles” Program.

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Prediction of progressive damage and strength of IM7/977-3 composites using the Eigendeformation-based homogenization approach: Static loading

Cited by 28 publications

References 28 publications

Strain localization in reduced-order asymptotic homogenization

Strain localization in reduced-order asymptotic homogenization

Comparison of composite damage growth tools for static behavior of notched composite laminates

Prediction of progressive fatigue damage and failure behavior of IM7/977-3 composites using the reduced-order multiple space-time homogenization approach

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