Identification of a cohesive zone model from digital images at the micron-scale

Réthoré, Julien; Estevez, R.

doi:10.1016/j.jmps.2013.01.011

Cited by 46 publications

(29 citation statements)

References 53 publications

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“…PMMA fails by crazing (Döll 1983;SaadGouider et al 2006) and its failure mechanism can be determined from inverse analysis (Elices et al 2002) or crack tip field analysis (Réthoré and Estevez 2013). However, a brittle cracking model was used for simulating this matrix failure in the current study.…”

Section: Damage Models and Materials Definitionmentioning

confidence: 96%

Development of an image-based numerical model for predicting the microstructure–property relationship in alumina trihydrate (ATH) filled poly(methyl methacrylate) (PMMA)

2018

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Particulate composites are found in a wide range of applications. Their heterogeneous microstructure affects their bulk behavior and structural performance, however tools for predicting this important structure-property relationship are still lacking. In this study, a numerical method that can provide predictions of the mechanical response of a particulate polymeric matrix composite as a function of volume fraction and particle mean diameter is presented. The work is derived for an alumina trihydrate filled poly(methyl methacrylate) but the methodology is generic and can be used for any particulate composite. Representative Volume elements are determined through images obtained from scanning electron microscopy. The model takes into account the possibility of failure through interface debonding as well as cracks through the matrix. The model predictions for the modulus and fracture strength of the composites are validated through independent experiments on the composite. The numerical results are also used to qualitatively explain the trends measured regarding the fracture toughness of the composites. Compared to other literature on particulate composites, our study is the first to report accurate stress-strain distributions as well as fracture predictions whilst all the necessary model parameters defining the failure criteria are all derived through independent experiments. This paves R. Zhang · J. Y. S. Li-Mayer · M. N. Charalambides (B) Department of Mechanical Engineering, Imperial College London, South Kensington, London SW7 2AZ, UK e-mail: m.charalambides@imperial.ac.uk the way for a relatively simple methodology for determining structure-property relationships in composites design, enabling smarter material utilization and optimal mechanical properties.

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Section: Damage Models and Materials Definitionmentioning

confidence: 96%

Development of an image-based numerical model for predicting the microstructure–property relationship in alumina trihydrate (ATH) filled poly(methyl methacrylate) (PMMA)

2018

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“…To measure displacements/strains over a period of time, in situ DIC is the only option [24][25][26][27][28][29][30][31]. In situ high resolution deformation measurements (0.1 to 10 μm per image pixel) may be carried out when coupled with optical microscopy [26][27][28][29][30][31]; whilst ultra-high resolution measurements (10-100 nm per image pixel) may be obtained when performed within a SEM [24,25,29,[32][33][34][35][36][37][38][39][40]. Currently, in situ DIC coupled with an optical microscope can provide sufficiently high-resolution in both spatial and temporal deformation measurements, making it a preferred choice for fatigue crack growth studies, as opposed to more sophisticated techniques and specialised apparatus required in SEM-DIC or Synchrotron X-ray setups.…”

Section: Introductionmentioning

confidence: 99%

In Situ Experimental Study of Near-Tip Strain Evolution of Fatigue Cracks

Lupton

Zhu

et al. 2015

Exp Mech

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Near crack tip strain fields in a stationary and a growing fatigue crack have been studied in situ using the Digital Image Correlation (DIC) technique in a compact tension specimen of stainless steel 316 L under tensiontension cyclic loading. The evolution of near-tip strains normal to the crack plane was monitored at selected locations ahead of the crack tip in consecutive cycles during fatigue crack growth experiments. A stationary crack was examined first to provide a baseline reference whilst the evolution of the strain field ahead of a growing crack was monitored in situ at peak loads during fatigue cycling. The results show that strain accumulation with loading cycle occurred at all tracked locations in both cases, and it is particularly evident close to the crack tip. Moreover, a higher strain accumulation rate was found near the growing crack tip than that near the stationary crack tip. The results on near-tip strain evolution were collected for the first time in situ during the fatigue crack growth experiments, which may hopefully inform a physical-based modelling strategy of fatigue crack growth.

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“…However, a more robust approach relies on the concept of an elastic crack tip and its detection using the first super‐singular term of the Williams' expansion . This approach reveals to be robust with respect to a non‐linear process zone due to plasticity , diffuse damage , or cohesive fracture . It has been shown to be robust enough for real time detection of crack propagation for load shedding in fatigue crack propagation experiments .…”

Section: Introductionmentioning

confidence: 99%

Automatic crack tip detection and stress intensity factors estimation of curved cracks from digital images

Réthoré

2015

Int. J. Numer. Meth. Engng

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Summary With the development of full‐field measurement techniques, it has been possible to analyze crack propagation experimentally with an increasing level of robustness. However, the analysis of curved cracks is made difficult and almost unexplored because the possible analysis domain size decreases with crack curvature, leading to an increasing uncertainty level. This paper proposes a digital image correlation technique, augmented by an elastic regularization, combining finite element kinematics on an adapted mesh and a truncated Williams' expansion. Through the analysis of two examples, the proposed technique is shown to be able to address the experimental problems of crack tip detection and stress intensity factors estimation along a curved crack path. Copyright © 2015 John Wiley & Sons, Ltd.

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Identification of a cohesive zone model from digital images at the micron-scale

Cited by 46 publications

References 53 publications

Development of an image-based numerical model for predicting the microstructure–property relationship in alumina trihydrate (ATH) filled poly(methyl methacrylate) (PMMA)

Development of an image-based numerical model for predicting the microstructure–property relationship in alumina trihydrate (ATH) filled poly(methyl methacrylate) (PMMA)

In Situ Experimental Study of Near-Tip Strain Evolution of Fatigue Cracks

Automatic crack tip detection and stress intensity factors estimation of curved cracks from digital images

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