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  Statistical Analysis of Slow Crack Growth Experiments

Pfingsten, T., & Glien, K. (2006). Statistical Analysis of Slow Crack Growth Experiments. Journal of the European Ceramic Society, 26(15), 3061-3065. doi:10.1016/j.jeurceramsoc.2005.08.004.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-CF85-5 Version Permalink: http://hdl.handle.net/21.11116/0000-0004-4C71-8
Genre: Journal Article

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Pfingsten, T1, Author              
Glien, K, Author
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1External Organizations, ou_persistent22              

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 Abstract: A common approach for the determination of Slow Crack Growth (SCG) parameters are the static and dynamic loading method. Since materials with small Weibull module show a large variability in strength, a correct statistical analysis of the data is indispensable. In this work we propose the use of the Maximum Likelihood method and a Baysian analysis, which, in contrast to the standard procedures, take into account that failure strengths are Weibull distributed. The analysis provides estimates for the SCG parameters, the Weibull module, and the corresponding confidence intervals and overcomes the necessity of manual differentiation between inert and fatigue strength data. We compare the methods to a Least Squares approach, which can be considered the standard procedure. The results for dynamic loading data from the glass sealing of MEMS devices show that the assumptions inherent to the standard approach lead to significantly different estimates.

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 Dates: 2006-11
 Publication Status: Published in print
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 Identifiers: DOI: 10.1016/j.jeurceramsoc.2005.08.004
BibTex Citekey: 3517
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Title: Journal of the European Ceramic Society
  Abbreviation : J. Eur. Ceram. Soc.
Source Genre: Journal
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Publ. Info: Barking, Essex, England : Elsevier
Pages: - Volume / Issue: 26 (15) Sequence Number: - Start / End Page: 3061 - 3065 Identifier: ISSN: 0955-2219
CoNE: https://pure.mpg.de/cone/journals/resource/958480280160