2017
DOI: 10.1016/j.compositesb.2016.09.064
|View full text |Cite
|
Sign up to set email alerts
|

On the derivation of the elastic properties of lattice nanostructures: The case of graphene sheets

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

1
21
0

Year Published

2018
2018
2022
2022

Publication Types

Select...
4
3

Relationship

1
6

Authors

Journals

citations
Cited by 52 publications
(22 citation statements)
references
References 65 publications
1
21
0
Order By: Relevance
“…In the present study, we propose a buckling analysis of single-layer graphene sheets through a molecular mechanics model which extends those used in our previous works (Genoese et al, 2017(Genoese et al, , 2018a(Genoese et al, ,b, 2019 in order to account for binary, ternary and quaternary interactions between the atoms. They are described using a geometrically exact setting and introducing Morse and cosine potential functions, equipped with a proper set of parameters.…”
Section: Introductionmentioning
confidence: 94%
See 3 more Smart Citations
“…In the present study, we propose a buckling analysis of single-layer graphene sheets through a molecular mechanics model which extends those used in our previous works (Genoese et al, 2017(Genoese et al, , 2018a(Genoese et al, ,b, 2019 in order to account for binary, ternary and quaternary interactions between the atoms. They are described using a geometrically exact setting and introducing Morse and cosine potential functions, equipped with a proper set of parameters.…”
Section: Introductionmentioning
confidence: 94%
“…Among them, ab-initio simulations (Kudin et al, 2001;Baumeier et al, 2007;Liu et al, 2007) are the most accurate tools available to investigate the behavior of nanomaterials, including their mechanics, but they demand a lot of computer power and so they are not always feasible for systems with very many atoms. For this reason, increasing attention has been given to molecular dynamics/statics formulations (Liew et al, 2004;Lu et al, 2009;Xiao et al, 2009;Zhao et al, 2009;Georgantzinos et al, 2012;Silvestre et al, 2012;Berinskii and Borodich, 2013;Davini, 2014;Theodosiou and Saravanos, 2014;Gamboa et al, 2015;Korobeynikov et al, 2015Korobeynikov et al, , 2018Budarapu et al, 2017;Davini et al, 2017;Genoese et al, 2017Genoese et al, , 2018aGenoese et al, ,b, 2019Hossain et al, 2018;Sgouros et al, 2018;Singh and Patel, 2018b) or their structural-mechanical approximations (e.g., nanoscale equivalent beam and truss models; Sakhaee-Pour, 2009a,b;Georgantzinos et al, 2010;Alzebdeh, 2012;Giannopoulos, 2012;Tserpes, 2012;Firouz-Abadi et al, 2016;Rafiee and Eskandariyun, 2017;Savvas and Stefanou, 2018) and to continuum models (Chang, 2010;Aminpour and Rizzi, 2016;Ghaffari et al, 2018;Singh and Patel, 2018a;Zhang et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
See 2 more Smart Citations
“…Subsequently in this paper, relevant discussion on this aspect from our findings are reported. In MD and MM simulations, the accuracy of the results depends on the potential defining [15] 2000 Ab-initio 1.100 1.100 0.340 [16] 2006 Molecular structural mechanics 1.096--1.125 1.106--1.201 0.340 (Tersoff-Brenner) [17] 2006 DFT 1.250 1.250 0.340 [18] 2007 Ab-initio 1.050 1.050 0.334 [3] 2008 Experimental (nano indentation) 1 \pm 0.100 1 \pm 0.100 0.335 [19] 2009 DFT 0.964 0.964 0.340 [20] 2009 Molecular structural mechanics 1.040 1.042 0.340 [21] 2009 Quantum molecular dynamics 1.100 0.600 0.335 [22] 2009 Orthogonal tight-binding and MD 1.01 \pm 0.030 1.01 \pm 0.030 0.335 [23] 2009 Truss-type analytical models with AMBER 1.378 1.303 NA with MORSE 1.379 1.957 NA [24] 2010 MD (AIREBO) 0.890 0.830 NA [25] 2010 Molecular structural mechanics 0.721 0.737 0.340 [14] 2010 MD (Tersoff) 1.130 1.050 0.335 [26] 2010 Molecular mechanics (MM3) 3.380 3.400 0.100 [27] 2012 MD (AIREBO) 1.097 0.961 0.335 [28] 2013 Molecular structural mechanics and MD 1.070 1.070 0.335 [29] 2014 Molecular structural mechanics 1.100 1.100 0.34 (Modified MORSE) [30] 2017 Space frame approach with AMBER 0.780 0.819 NA with MORSE 0.890 0.938 NA [31] 2018 Multiscale model (MM3) 0.927 0.927 0.335 atomic interactions. For carbonaceous structures, popular potentials are: MM3 [32], Tersoff [33], the first and second generation reactive empirical bond order (REBO) [34,35], adaptive intermolecular reactive empirical bond order (AIREBO) [36], and ReaxFF [37].…”
Section: Introductionmentioning
confidence: 99%