Rights statement: The final, definitive version of this article has been published in the Journal, Journal of Composite Materials, ? (?), 2018, © SAGE Publications Ltd, 2018 by SAGE Publications Ltd at the Journal of Composite Materials page: http://journals.sagepub.com/home/JCM on SAGE Journals Online: http://journals.sagepub.com/
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Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - Experimental test and analytical modeling of mechanical properties of graphene-oxide cement composites
AU - Duan, Zhongcheng
AU - Zhang, Li
AU - Lin, Zhiyuan
AU - Fan, Ding
AU - Saafi, Mohamed Ben Salem
AU - Gomes, João Castro
AU - Yang, Shangtong
N1 - The final, definitive version of this article has been published in the Journal, Journal of Composite Materials, ? (?), 2018, © SAGE Publications Ltd, 2018 by SAGE Publications Ltd at the Journal of Composite Materials page: http://journals.sagepub.com/home/JCM on SAGE Journals Online: http://journals.sagepub.com/
PY - 2018/9/1
Y1 - 2018/9/1
N2 - Graphene oxide has recently been considered as an ideal candidate for enhancing the mechanical properties of the cement due to its good dispersion property and high surface area. Much of work has been done on experimentally investigating the mechanical properties of graphene oxide-cementitious composites; but there are currently no models for accurate estimation of their mechanical properties, making proper analysis and design of graphene oxide-cement-based materials a major challenge. This paper attempts to develop a novel multi-scale analytical model for predicting the elastic modulus of graphene oxide-cement taking into account the graphene oxide/cement ratio, porosity and mechanical properties of different phases. This model employs Eshelby tensor and Mori-Tanaka solution in the process of upscaling the elastic properties of graphene oxide-cement through different length scales. In-situ micro-bending tests were conducted to elucidate the behaviour of the graphene oxide-cement composites and verify the proposed model. The obtained results showed that the addition of graphene oxide can change the morphology and enhance the mechanical properties of the cement. The developed model can be used as a tool to determine the elastic properties of graphene oxide-cement through different length scales.
AB - Graphene oxide has recently been considered as an ideal candidate for enhancing the mechanical properties of the cement due to its good dispersion property and high surface area. Much of work has been done on experimentally investigating the mechanical properties of graphene oxide-cementitious composites; but there are currently no models for accurate estimation of their mechanical properties, making proper analysis and design of graphene oxide-cement-based materials a major challenge. This paper attempts to develop a novel multi-scale analytical model for predicting the elastic modulus of graphene oxide-cement taking into account the graphene oxide/cement ratio, porosity and mechanical properties of different phases. This model employs Eshelby tensor and Mori-Tanaka solution in the process of upscaling the elastic properties of graphene oxide-cement through different length scales. In-situ micro-bending tests were conducted to elucidate the behaviour of the graphene oxide-cement composites and verify the proposed model. The obtained results showed that the addition of graphene oxide can change the morphology and enhance the mechanical properties of the cement. The developed model can be used as a tool to determine the elastic properties of graphene oxide-cement through different length scales.
KW - Multi-scale modelling
KW - Graphene–Oxide
KW - Elastic properties
KW - Cementitious materials
KW - Upscaling
KW - In-situ SEM test
U2 - 10.1177/0021998318760153
DO - 10.1177/0021998318760153
M3 - Journal article
VL - 52
SP - 3027
EP - 3037
JO - Journal of Composite Materials
JF - Journal of Composite Materials
SN - 0021-9983
IS - 22
ER -