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Multiscale material design and crack path prediction of a polymer-modified cementitious cover layer AITranslate

Southeast University; Southeast University; Southeast University
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Publisher: Elsevier
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Abstract AITranslate

A polymer-modified cementitious composite which is used as the cover layer of bridges and highways is designed based on the multiscale material design theory. A meso-scale lattice model is employed to predict the primary mechanical properties and the crack paths of the designed cementitious cover layer. The modeling is done based on the meso-structure of concrete captured through a micro-CT (micro-focus computational tomography). Further, the prediction results of the modeling are compared by the experimental results. The results show that the raw materials of the polymer-modified cementitious cover layer can effectively be selected and optimized by the multiscale material design theory and the lattice model.

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DOI:https://doi.org/10.1016/j.commatsci.2010.04.045

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Citation Information:

A polymer-modified cementitious composite which is used as the cover layer of bridges and highways is designed based on the multiscale material design theory. A meso-scale lattice model is employed to predict the primary mechanical properties and the crack paths of the designed cementitious cover layer. The modeling is done based on the meso-structure of concrete captured through a micro-CT (micro-focus computational tomography). Further, the prediction results of the modeling are compared by the experimental results. The results show that the raw materials of the polymer-modified cementitious cover layer can effectively be selected and optimized by the multiscale material design theory and the lattice model.

quote

GB/T 7714-2015 [1] Guo LiPing, Sun Wei, Cao QingYu. Computational Materials Science, 2010(49). DOI:10.1016/j.commatsci.2010.04.045.
MLA [1] Guo LiPing, et al., Computational Materials Science, no. 49, 2010, https://doi.org/10.1016/j.commatsci.2010.04.045.
APA [1] Guo LiPing, Sun Wei, & Cao QingYu. (2010). Computational Materials Science(49). https://doi.org/10.1016/j.commatsci.2010.04.045
IEEE [1] Guo LiPing, Sun Wei, and Cao QingYu, Computational Materials Science, no. 49, 2010, doi: 10.1016/j.commatsci.2010.04.045.