Analysis of a castable refractory using the wedge splitting test and cohesive zone model

Vargas, Rafael; Neggers, Jan; Canto, Rodrigo Bresciani; Rodrigues, J. A.; Hild, François

doi:10.1016/j.jeurceramsoc.2019.03.009

Cited by 14 publications

(33 citation statements)

References 51 publications

(85 reference statements)

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“…Before performing the calibration itself, sensitivity analyses are very useful to make sure that all the parameters of the selected model are identifiable 16,17,23 . In the present case, the load sensitivities were computed for parameter offsets ɛ = 1 % .…”

Section: Resultsmentioning

confidence: 99%

“…It is considered that CZM parameters for modes I and II are the same since the sensitivity for mode II is very low in the present case. The parameters of the PPR model that defines the curve, that is, the shape parameters ( α and β ) and the initial slope ( λ n and λ t ) were chosen equal to 7 and 0.005, respectively 17 . To illustrate the selected CZM, Figure 13 shows the traction‐separation law using the PPR model with the initial parameters.…”

Section: Numerical Proceduresmentioning

confidence: 99%

“…Digital image correlation (DIC 12 ) may be applied to monitor crack propagation tests measuring displacement fields that ensure experimental insight into the fracture wake zone (i.e., localized damage) that would not be possible using common extensometry 13‐15 . DIC measurements can be used as inputs to FE analyses for identification purposes 16 and also for validating their predictions 17 . Moreover, FE analyses facilitate the stress analysis and allow the original geometry to be modeled even with its complexities 18 .…”

Section: Introductionmentioning

confidence: 99%

“…For instance, the cohesive strength was better identified with images before the peak load of the test, while the cohesive energy should be identified after the peak. Vargas et al 17 presented a similar approach, in which each CZM parameter showed a higher influence at different time steps of the analysis, namely, a boundary condition correction at the very beginning of the experiment, then the cohesive strength close to the peak load, and last cohesive energy on the postpeak steps. This type of analysis will also be used herein to guide the calibration procedure.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

On the identification of cohesive zone model for curved crack in mortar

Vargas

Tsitova

Bernachy‐Barbe

et al. 2020

Strain

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This paper proposes an approach to defining the path of a curved crack in a single edge notched specimen with gray level residuals extracted from digital image correlation, followed by the calibration of the parameters of a cohesive zone model. Only the experimental force is used in the cost function minimized via finite element model updating. The displacement and gray level residual fields allow for the validation of the calibrated parameters. Last, the results are confronted with those given by a straight crack to highlight the benefits of accounting for the actual crack path.

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Section: Resultsmentioning

confidence: 99%

Section: Numerical Proceduresmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

On the identification of cohesive zone model for curved crack in mortar

Vargas

Tsitova

Bernachy‐Barbe

et al. 2020

Strain

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show abstract

“…For example, displacement fields of entire surfaces are measured, and not only the crack mouth opening displacement during fracture tests. The correlation between measured fields and close-form solutions can be used to calibrate fracture mechanics parameters [14,15]. The second advantage enables the technique to be applied to soft materials [16,17] or at high temperatures [6,18].…”

Section: Introductionmentioning

confidence: 99%

On the benefits of correcting brightness and contrast in global digital image correlation: Monitoring cracks during curing and drying of a refractory castable

Sciuti

Canto

Neggers

et al. 2021

Optics and Lasers in Engineering

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The gray level conservation is the underlying hypothesis of Digital Image Correlation (DIC). However, it may be challenging to enforce in some experimental configurations. Brightness and contrast corrections (BCCs) may be added to the registration procedure. Different types of BCCs were implemented for global DIC, and their benefits were analyzed for localized and diffuse sources of brightness changes. As a case study to apply BCCs, a refractory castable was placed inside a climatic chamber, and cracks were generated due to localized expansions during its curing and drying. To choose the best BCC for this case, two sets of images were considered. The first one allowed the noise floor levels to be evaluated. The second one dealt with the development of a crack network. The BCCs significantly reduced gray level residuals enabling cracks with small openings to be detected. The coarse discretization was effective in correcting lighting changes and avoided its coupling with the measured kinematic fields and other local phenomena.

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Fracture and Cohesive Parameter Identification of Refractories by Digital Image Correlation Up to 1200°C

et al. 2020

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The mechanical and fracture properties of refractory ceramics are determined by means of an inverse identification procedure between experimental data and numerical simulations. An experimental set-up is proposed to perform Wedge Splitting Tests (WST) at elevated temperature with Digital Image Correlation (DIC) to assess the crack propagation. The ceramic Young's Modulus, fracture energy and strength are determined by indirect confrontation to Finite Element simulations of crack propagation in WST specimens employing Cohesive Zone Modeling (CZM). The variations of the force and crack length are used to set an inverse problem for estimating the material parameters for various temperatures. The method, illustrated through the analysis of an industrial refractory ceramic from 25 • C to 1200 • C, combines experimental and numerical approaches to understand and optimize the fracture behaviour of refractories in application.Refractory ceramics are widely employed in parts that are used in high temperature environments such as, e.g., glass furnaces, steel ladles or blast furnaces. These parts are subjected to severe thermal gradients that may provoke the initiation and propagation of cracks. The presence of such cracks is critical since they may weaken the whole structure and locally enhance the corrosion effects, leading to a lifetime reduction of the furnaces.A major challenge thus consists in predicting the initiation and propagation of such cracks. To this end, modeling the temperature distribution within the part as well as providing realistic description of failure can help in the definition of a robust design. These models require some essential parameters such as the refractory fracture properties (critical energy release rate and strength) and also their variations from room temperature to really high temperature (up to 1500 • C).

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Analysis of a castable refractory using the wedge splitting test and cohesive zone model

Cited by 14 publications

References 51 publications

On the identification of cohesive zone model for curved crack in mortar

On the identification of cohesive zone model for curved crack in mortar

On the benefits of correcting brightness and contrast in global digital image correlation: Monitoring cracks during curing and drying of a refractory castable

Fracture and Cohesive Parameter Identification of Refractories by Digital Image Correlation Up to 1200°C

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