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Composites: Mechanics, Computations, Applications: An International Journal

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ISSN Imprimer: 2152-2057

ISSN En ligne: 2152-2073

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 0.2 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 0.3 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00004 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.08 SJR: 0.153 SNIP: 0.178 CiteScore™:: 1 H-Index: 12

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PREDICTION OF MECHANICAL PROPERTIES OF EPOXY CONCRETE USING MOLECULAR DYNAMICS SIMULATION

Volume 12, Numéro 1, 2021, pp. 25-39
DOI: 10.1615/CompMechComputApplIntJ.2021036343
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RÉSUMÉ

Epoxy resin concrete has high strength, good durability, good toughness, short forming time, the advantages of easy construction, etc. As a high-performance material, it has been applied in various fields such as machinery, construction, chemical industry, truss structures, etc. Based on its high strength, better seismic resistance than that of concrete structures, lower cost than that of steel structures, better plasticity, assembly, and simpler construction technology than those of wood structures, it has very broad prospects for development and space application. In this study, an atomistic modeling approach has been used for predicting the mechanical properties of epoxy concrete. Fully atomistic models were built by varying the weight percent of the polymer (epoxy) and the aggregates (silica and calcite) using molecular dynamics (MD) simulations. The modulus of elasticity of epoxy concrete was predicted by calculating the induced stress and developed strain of the distorted model. The results showed that the elastic modulus of epoxy concrete was higher by 41% than that of conventional cement concrete. The effect of epoxy resin binder was found to be significant for the adhesion between the epoxy and aggregates, which enhanced the compressive strength. Addition of calcite microfiller helped in reducing the void content in the aggregate mixture and thereby increased the strength of polymer concrete. The simulation results agreed well with experimental measurements reported in the literature. The study demonstrates that MD can be used as a useful tool for material design and performance prediction and can also help in understanding the fundamental chemistry-mechanics relationship of epoxy concrete at an atomistic scale.

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