Data set from a 3D benchmark simulation of delamination in a layered composite component under fatigue loading

Published: 15 Jan 2019 | Version 2 | DOI: 10.17632/87r49xbrp3.2

Description of this data

This data repository provides the processed data obtained from the benchmark simulation using the method presented in the article entitled "A simulation method for accurate fatigue-driven delamination prediction in 3D analysis of layered structures involving large and arbitrarily shaped fracture process zones" by the same authors. The method is based on a cohesive zone model approach and a Paris' law-based expression describing the crack growth rate. The capabilities of the method are evaluated by comparison of the results obtained from a benchmark test on a partially reinforced double cantilever beam (DCB) specimen with varying crack growth rate and front shape. The experimental work is presented in the article entitled "A simulation method for accurate fatigue-driven delamination prediction in 3D analysis of layered structures involving large and arbitrarily shaped fracture process zones". Experimental data is provided in the Mendeley data set entitled "Experimental data set from a benchmark test of delamination growth with varying crack growth rate and crack front shape under quasi-static and fatigue loading". This data set only contains the simulation results.

The test configuration, the methodology and the data processing are addressed in the related articles.

Experiment data files

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Latest version

  • Version 2

    2019-01-15

    Published: 2019-01-15

    DOI: 10.17632/87r49xbrp3.2

    Cite this dataset

    Carreras, Laura; Turon, Albert; Bak, Brian Lau Verndal; Lindgaard, Esben; Renart, Jordi; Martin de la Escalera, Federico; Essa, Yasser (2019), “Data set from a 3D benchmark simulation of delamination in a layered composite component under fatigue loading”, Mendeley Data, v2 http://dx.doi.org/10.17632/87r49xbrp3.2

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Categories

Finite Element Modeling, Delamination, Fatigue Crack Growth, Cohesive Zone Model

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Licence

CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?

This dataset is licensed under a Creative Commons Attribution 4.0 International licence. What does this mean? You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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