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3. Statistical Assessment of Sample Test Results

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Abstract

Each design type shows different statistical properties, which have to be considered individually. In order to compare changes of statistically gathered sample strength properties easily and with a high level of traceability, the author proposed a new concept for a performance chart in 2010. This is introduced as “sample performance chart (SPC)” and explained in Sect. 3.1. In Sect. 3.2, it is demonstrated by examples how sample test results can be interpreted and displayed in the relevant sample performance chart. Section 3.3 addresses the question how reliability of the tested sample can be quantified by using the performance chart. In order to get a statement on the reliability for the basic population of relevant composite cylinders, the influence of a limited sample size on the confidence level has to be considered. This is explained and incorporated into the sample performance chart in Sect. 3.4. Some explanations on practical aspects of gas storage and their influence are added in Sect. 3.5. Issues of interests are the influence of the effective service pressure and some experience concerning the probabilistic assessment of accidental scenarios.

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Footnotes
1
 This expression is composed of the (old) Greek words “ισοσ” (“iso” means “equal”) and “ασϕαλια” (“asfalia” is already relatively close to the concept of technical reliability).
 
2
The database GIDAS (German In-Depth Accident Study) collects extensively data as a knowledge base for different stakeholders. Due to a completely defined concept for data collection, the data recorded there are representative for Germany [38].
 
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Metadata
Title
Statistical Assessment of Sample Test Results
Author
Georg W. Mair
Copyright Year
2017
DOI
https://doi.org/10.1007/978-3-319-49710-5_3