A dynamic spring element model for the prediction of longitudinal failure of polymer composites AITranslate
Abstract AITranslate
Highlights • A dynamic spring element model was implemented in a parallel computing framework. • Fibre failure leads to dynamic stress waves. • The dynamic stress waves increase the probability of failure of the fibres. • The dynamic effects are increased when the matrix is considered linear elastic. • The dynamic effects change the cluster formation and material failure. A spring element model that takes into account the dynamic effects associated with fibre failure in composite materials is presented. The model is implemented in a parallel environment to allow a better performance in the prediction of the complex mechanisms associated with longitudinal tensile failure. The model is used to identify the changes in the stress fields around a broken fibre representing fibre failure as a dynamic phenomenon. In light of these changes in the stress fields, the cluster formation and failure development is analysed and the results are compared with the static spring element model. It is observed that the stress redistribution around a broken fibre is strongly dependent on the dynamic effects and it varies with the material in study, specially if the matrix is considered linear elastic. The changes in local stress redistribution are seen to affect the materials tensile behaviour and cluster formation, being this changes higher for a material with an elastic matrix. Graphical abstract Download : Download high-res image (137KB) Download : Download full-size image
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DOI:https://doi.org/10.1016/j.commatsci.2018.12.048
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Highlights • A dynamic spring element model was implemented in a parallel computing framework. • Fibre failure leads to dynamic stress waves. • The dynamic stress waves increase the probability of failure of the fibres. • The dynamic effects are increased when the matrix is considered linear elastic. • The dynamic effects change the cluster formation and material failure. A spring element model that takes into account the dynamic effects associated with fibre failure in composite materials is presented. The model is implemented in a parallel environment to allow a better performance in the prediction of the complex mechanisms associated with longitudinal tensile failure. The model is used to identify the changes in the stress fields around a broken fibre representing fibre failure as a dynamic phenomenon. In light of these changes in the stress fields, the cluster formation and failure development is analysed and the results are compared with the static spring element model. It is observed that the stress redistribution around a broken fibre is strongly dependent on the dynamic effects and it varies with the material in study, specially if the matrix is considered linear elastic. The changes in local stress redistribution are seen to affect the materials tensile behaviour and cluster formation, being this changes higher for a material with an elastic matrix. Graphical abstract Download : Download high-res image (137KB) Download : Download full-size image
quote
| GB/T 7714-2015 | [1] Rodrigo P. Tavares, Fermin Otero, Joan Baiges, et al. Computational Materials Science, 2019(160). DOI:10.1016/j.commatsci.2018.12.048. |
| MLA | [1] Rodrigo P. Tavares, et al., Computational Materials Science, no. 160, 2019, https://doi.org/10.1016/j.commatsci.2018.12.048. |
| APA | [1] Rodrigo P. Tavares, Fermin Otero, Joan Baiges, Albert Turon, & Pedro P. Camanho. (2019). Computational Materials Science(160). https://doi.org/10.1016/j.commatsci.2018.12.048 |
| IEEE | [1] Rodrigo P. Tavares, Fermin Otero, Joan Baiges, Albert Turon, and Pedro P. Camanho, Computational Materials Science, no. 160, 2019, doi: 10.1016/j.commatsci.2018.12.048. |
