MOLECULAR DYNAMICS SIMULATIONS OF THE ELASTIC PROPERTIES OF POLYMER/CARBON NANOTUBE COMPOSITES

By Yue Han, J. Elliott. 2007

871 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Materials Chemistry

View Paper: https://www.semanticscholar.org/paper/d45d33b10bb973aaa0b5ce69a62f4d8519f70f9f

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In Biomedical Engineering

1. S. Kitipornchai
2. Z. Lei
3. Yang Xiang
4. Masoud Mirzaei
5. Kim-Meow Liew
6. L. Ke
7. Yaser Kiani
8. Jilin Yu

In Materials Chemistry

1. Kim-Meow Liew
2. Lu-Wen Zhang
3. Z. Lei
4. Yaser Kiani
5. Yang Xiang
6. Hui‐Shen Shen
7. Jilin Yu
8. Masoud Mirzaei

Citations in the corpus

• Free vibration analysis of functionally graded carbon nanotube-reinforced composite plates using the element-free kp-Ritz method in thermal environment (2013, methodology): “With the effective thickness of CNTs is assumed to be 0.34 nm, Han and Elliott [49] obtained a low value of modulus for (10,10) SWCNTs ECNT11 ¼ 600 GPa; E CNT 22 ¼ 10 GPa;G CNT 12 ¼ 17:2 GPa .”
• New approach to investigate nonlinear dynamic response and vibration of imperfect functionally graded carbon nanotube reinforced composite double curved shallow shells subjected to blast load and temperature (2017, background): “[8] Y. Han, J. Elliott, Molecular dynamics simulations of the elastic properties of polymer/carbon nanotube composites, Comput.”
• Postbuckling of carbon nanotube-reinforced functionally graded cylindrical panels under axial compression using a meshless approach (2014, methodology): “MD [45] Rule of mixture E11 (GPa) E22 (GPa) E11 (GPa) g1 E22 (GPa) g2 94.”
• Postbuckling of axially compressed nanotube-reinforced composite cylindrical panels resting on elastic foundations in thermal environments (2014, methodology): “(8) are estimated by matching the Young’s moduli E11 and E22 and shear modulus G12 of CNTRCs predicted from the extended rule of mixture to those from the MD simulations given by Han and Elliott [7] and Griebel and Hamaekers [5], as previously reported in Shen and Zhang [11].”
• Nonlinear bending of functionally graded carbon nanotube-reinforced composite plates in thermal environments (2009, methodology): “In present study, we give the estimation of CNT efficiency parameters g1 and g2 by matching the Young’s moduli E11 and E22 of CNTRCs obtained by the rule of mixture to those from the MD simulations given by Han and Elliott [9].”
• Large deflection geometrically nonlinear analysis of carbon nanotube-reinforced functionally graded cylindrical panels (2014, background): “Han and Elliott [39] obtained relatively low values of modulus for (10, 10) SWCNTs ðE 11 1⁄4 600 GPa; E CNT 22 1⁄4 10 GPa; G CNT 12 1⁄4 17:2 GPaÞ since the effective thickness of CNTs was assumed as 0.”
• Thermal buckling of temperature dependent FG-CNT reinforced composite plates (2015, background): “As a result of interpolation, each of the properties may be written as ECN11 ðTÞðTPaÞ ¼ 6:3998 4:338417 10 3T þ 7:43 10 6T2 4:458333 10 9T3 ECN22 ðTÞðTPaÞ ¼ 8:02155 5:420375 10 3T þ 9:275 10 6T2 5:5625 10 9T3 GCN12 ðTÞðTPaÞ ¼ 1:40755þ 3:476208 10 3T 6:965 10 6T2 þ 4:479167 10 9T3 aCN11 ðTÞð10 6=KÞ ¼”