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Machine strength grading - prediction limits - evaluation of a new method for derivation of settings
Linnaeus University, Faculty of Science and Engineering, School of Engineering. (Byggteknik)
2010 (English)In: Proceedings of the 11th World conference of timber engineering. WCTE2010, June 20-24, Riva del Garda, Italy., 2010Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents and analyses a new method for derivation of setting values for strength grading machines. The method uses a model for the relationship between indicating property (measured by a grading machine, IP) and the grade determining property (GDP). This model is of course not perfect and by summarising the errors in the model a confidence interval for the model can be calculated. The confidence interval is used for creating a prediction interval. The lower limit of the prediction interval, the prediction limit, is used to predict the GDP. The prediction limit method is analysed and evaluated by well defined input data. It is shown that fewer perimental data than required by the method in EN 14081-2 today is needed to determine reliable settings but the producer is awarded with less conservative settings with an increased number of experimental data. A weak correlation between IP and GDP or a high coefficient of variation also results in conservative settings. The settings are not dependent on average strength of the raw material used for deriving the settings.

Place, publisher, year, edition, pages
2010.
Keywords [en]
machine strength grading, structural timber, linear regression, prediction limit
National Category
Building Technologies
Research subject
Technology (byts ev till Engineering), Civil engineering
Identifiers
URN: urn:nbn:se:lnu:diva-6666OAI: oai:DiVA.org:lnu-6666DiVA, id: diva2:328249
Conference
WCTE2010
Available from: 2010-07-02 Created: 2010-07-02 Last updated: 2011-03-21Bibliographically approved

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Bengtsson, Charlotte

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Language
  • de-DE
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  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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  • text
  • asciidoc
  • rtf