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Author  |
Leiva, V.; Ruggeri, F.; Saulo, H.; Vivanco, J.F. |
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Title |
A methodology based on the Birnbaum-Saunders distribution for reliability analysis applied to nano-materials |
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Year |
2017 |
Publication |
Reliability Engineering & System Safety |
Abbreviated Journal |
Reliab. Eng. Syst. Saf. |
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Volume |
157 |
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Pages |
192-201 |
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Keywords |
Bayesian analysis; Hardness data; Markov chain Monte Carlo method; R software |
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Abstract |
The Birnbaum-Saunders distribution has been widely studied and applied to reliability studies. This paper proposes a novel use of this distribution to analyze the effect on hardness, a material mechanical property, when incorporating nano-particles inside a polymeric bone cement. A plain variety and two modified types of mesoporous silica nano-particles are considered. In biomaterials, one can study the effect of nano-particles on mechanical response reliability. Experimental data collected by the authors from a micro-indentation test about hardness of a commercially available polymeric bone cement are analyzed. Hardness is modeled with the Birnbaum-Saunders distribution and Bayesian inference is performed to derive a methodology, which allows us to evaluate the effect of using nano-particles at different loadings by the R software. (C) 2016 Elsevier Ltd. All rights reserved. |
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Address |
[Leiva, Victor; Vivanco, Juan F.] Univ Adolfo Ibanez, Fac Sci & Engn, Vina del Mar, Chile, Email: victorleivictorleivasanchez@gmail.com |
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Publisher |
Elsevier Sci Ltd |
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Language |
English |
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ISSN |
0951-8320 |
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Notes |
WOS:000387195700017 |
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Call Number |
UAI @ eduardo.moreno @ |
Serial |
676 |
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