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Author Leiva, V.; Ruggeri, F.; Saulo, H.; Vivanco, J.F. pdf  doi
  Title A methodology based on the Birnbaum-Saunders distribution for reliability analysis applied to nano-materials Type
  Year 2017 Publication Reliability Engineering & System Safety Abbreviated Journal Reliab. Eng. Syst. Saf.  
  Volume 157 Issue Pages 192-201  
  Keywords Bayesian analysis; Hardness data; Markov chain Monte Carlo method; R software  
  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.  
  Address [Leiva, Victor; Vivanco, Juan F.] Univ Adolfo Ibanez, Fac Sci & Engn, Vina del Mar, Chile, Email:  
  Corporate Author Thesis  
  Publisher Elsevier Sci Ltd Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0951-8320 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000387195700017 Approved  
  Call Number UAI @ eduardo.moreno @ Serial 676  
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