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Portland cement mortar nanocomposites at low carbon nanotube and carbon nanofiber content: A fracture mechanics experimental study

机译:低碳纳米管和碳纳米纤维含量的波特兰水泥粉碎机纳米复合材料:裂缝力学实验研究

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A thorough fracture mechanics characterization of Portland cement mortars reinforced with multi wall carbon nanotubes (MWCNTs) and carbon nanofibers (CNFs) took place. The critical values of stress intensity factor, K-IC(S); strain energy release rate, G(IC)(S) crack tip opening displacement, CTODc; and critical crack length, ac of 3, 7, and 28 days Portland cement mortars, reinforced with well dispersed carbon nanotubes and carbon nanofibers were experimentally determined. Prismatic notched specimens of neat mortars and mortars reinforced with 0.1 wt.% CNFs, and 0.1 and 0.2 wt.% MWCNTs were subjected to a three point closed loop bending test, using the crack mouth opening displacement, CMOD, as the feedback signal. The fracture parameters of the nanoreinforced mortars were then determined using the two parameter fracture model. The excellent reinforcing and toughening efficiency of MWCNTs and CNFs is demonstrated by a significant improvement in the critical stress intensity factor/fracture toughness (128.6%), critical strain energy release rate (154.9%), and critical crack tip opening displacement (39%). These results allow us to conclude that the MWCNTs and CNFs beneficially alter the nanostructure of the mortar matrix, resulting to a significant enhancement of all fracture and mechanical properties and provide the material, with the ability of performing multiple structural functions. (C) 2016 Elsevier Ltd. All rights reserved.
机译:采用多壁碳纳米管(MWCNT)和碳纳米纤维(CNFS)加固的波特兰水泥砂浆的彻底断裂力学表征。应力强度因子,k-ic(s)的临界值;应变能量释放速率,G(IC)(S)裂纹尖端开口位移,CTODC;实验测定了用良好分散的碳纳米管和碳纳米纤维增强的3,7和28天的临界裂缝长度,AC为3,7和28天的波特兰水泥砂浆。用0.1重量%的晶体砂浆和砂浆的棱柱形状凹陷标本,用0.1重量%CNF和0.1和0.2重量%。使用裂缝口开口位移,CMOD作为反馈信号,对0.1和0.2重量%进行3点闭环弯曲试验。然后使用两个参数裂缝模型测定纳米降砂浆的断裂参数。 MWCNTS和CNFS的优异增强和增韧效率是通过显着的改善的临界应力强度因子/断裂韧性(128.6%),临界应变能量释放速率(154.9%)和临界裂纹尖端开口位移(39%) 。这些结果允许我们得出结论,MWCNT和CNFS有利地改变砂浆基质的纳米结构,导致所有骨折和机械性能的显着提高,并提供了进行多种结构功能的能力。 (c)2016 Elsevier Ltd.保留所有权利。

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