DocumentCode :
1497981
Title :
Scaling properties of nanotube-based macroscopic cables through multiscale numerical simulations
Author :
Pugno, Nicola ; Bosia, Federico
Author_Institution :
Dept. of Theor. Phys., Univ. of Torino, Torino, Italy
Volume :
3
Issue :
4
fYear :
2009
fDate :
12/1/2009 12:00:00 AM
Firstpage :
14
Lastpage :
19
Abstract :
Carbon nanotube (CNT) bundles are extremely interesting for engineering applications because of their density, elastic modulus, and mechanical strength. In particular, ambitious structures such as space elevators or superbridges (i.e., kilometer-long suspended bridges) could be conceived by exploiting the unique properties provided by CNT technology.Many experimental studies exist for the evaluation of the mechanical characteristics of CNTs or CNT yarns; however, numerical studies clearly become indispensable when predictions are to be made for full-scale structures.To address these issues, we describe a numerical procedure based on a hierarchical fiber-bundle model (HFBM) approach specifically developed to carry out multiscale simulations for CNT-based cables and estimate relevant mechanical characteristics such as Young´s modulus, strength or released energy during damage progression, and evaluate the scaling of these properties with cable size.
Keywords :
cables (mechanical); carbon nanotubes; mechanical properties; nanofibres; nanotechnology; numerical analysis; CNT technology; CNT yarns; CNT-based cables; cable size; carbon nanotube bundles; damage progression; hierarchical fiber-bundle model; mechanical characteristics; multiscale numerical simulations; multiscale simulations; nanotube-based macroscopic cables; scaling property; Bridges; Carbon nanotubes; Elevators; Mechanical cables; Mechanical factors; Numerical simulation; Optical fiber cables; Predictive models; Space technology; Yarn;
fLanguage :
English
Journal_Title :
Nanotechnology Magazine, IEEE
Publisher :
ieee
ISSN :
1932-4510
Type :
jour
DOI :
10.1109/MNANO.2009.934863
Filename :
5284482
Link To Document :
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