Statistical analysis of the tensile strength of carbon nanotubes
Two available strength data sets of single-walled and multi-walled carbon nanotubes are analysed, and the effects of sample sizes on their tensile strengths are investigated. A minimum information criterion is applied to determine the optimal strength distribution. The results show that, in contrast...
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| Format: | Journal Article |
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Trans Tech Pub
2008
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| Online Access: | http://hdl.handle.net/20.500.11937/11211 |
| _version_ | 1848747744683884544 |
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| author | Lu, Chungsheng |
| author_facet | Lu, Chungsheng |
| author_sort | Lu, Chungsheng |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Two available strength data sets of single-walled and multi-walled carbon nanotubes are analysed, and the effects of sample sizes on their tensile strengths are investigated. A minimum information criterion is applied to determine the optimal strength distribution. The results show that, in contrast to a two-parameter Weibull distribution, lognormal distribution seems to be a more suitable choice. A simple extrapolation of classical Weibull statistics to nanoscales may result in overestimation on the tensile strength of carbon nanotubes. |
| first_indexed | 2025-11-14T06:54:01Z |
| format | Journal Article |
| id | curtin-20.500.11937-11211 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:54:01Z |
| publishDate | 2008 |
| publisher | Trans Tech Pub |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-112112017-09-13T16:04:16Z Statistical analysis of the tensile strength of carbon nanotubes Lu, Chungsheng Two available strength data sets of single-walled and multi-walled carbon nanotubes are analysed, and the effects of sample sizes on their tensile strengths are investigated. A minimum information criterion is applied to determine the optimal strength distribution. The results show that, in contrast to a two-parameter Weibull distribution, lognormal distribution seems to be a more suitable choice. A simple extrapolation of classical Weibull statistics to nanoscales may result in overestimation on the tensile strength of carbon nanotubes. 2008 Journal Article http://hdl.handle.net/20.500.11937/11211 10.4028/www.scientific.net/AMR.41-42.27 Trans Tech Pub fulltext |
| spellingShingle | Lu, Chungsheng Statistical analysis of the tensile strength of carbon nanotubes |
| title | Statistical analysis of the tensile strength of carbon nanotubes |
| title_full | Statistical analysis of the tensile strength of carbon nanotubes |
| title_fullStr | Statistical analysis of the tensile strength of carbon nanotubes |
| title_full_unstemmed | Statistical analysis of the tensile strength of carbon nanotubes |
| title_short | Statistical analysis of the tensile strength of carbon nanotubes |
| title_sort | statistical analysis of the tensile strength of carbon nanotubes |
| url | http://hdl.handle.net/20.500.11937/11211 |