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    A reliable correlation of SPT-CPT data for southwest of Sweden

    Access Status
    Fulltext not available
    Authors
    Shahri, A.
    Juhlin, Christopher
    Malemir, A.
    Date
    2014
    Type
    Journal Article
    
    Metadata
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    Citation
    Shahri, A. and Juhlin, C. and Malemir, A. 2014. A reliable correlation of SPT-CPT data for southwest of Sweden. Electronic Journal of Geotechnical Engineering. 19 E: pp. 1013-1032.
    Source Title
    Electronic Journal of Geotechnical Engineering
    Additional URLs
    http://www.ejge.com/2014/Ppr2014.091mcr.pdf
    School
    Department of Exploration Geophysics
    URI
    http://hdl.handle.net/20.500.11937/9761
    Collection
    • Curtin Research Publications
    Abstract

    The requirement for reliable SPT-CPT correlation can be useful for application of CPT data in the existence of SPT design correlations and when only SPT data were available, for someone who is more familiar with CPT, it is possible to convert the SPT data to CPT cone resistance. Hence, our emphasis in this study is to determine a reliable correlation of CPT-SPT by a detail comparison with other researchers in various mathematical relations for Lilla Edet area in southwest of Sweden. To get the aim, by "Abbas Converter 3.01" a generated C# GUI computer code which is developed for CPT data processing, a high accuracy data processing and interpretation were implemented and the soil types were determined. After reviewing of the published CPT SPT correlations we eliminate some of them because of not taking into account the statistical procedures. In next step of this study by use of arithmetic average method, Student t-test and statistical analysis for field and normalized data set and then using a filtering procedure for elimination of far from trend data and application of several mathematical curve fitting tools, the correlation for three condition (linear with zero intercept, linear, power) were obtained and compared to each other. Comparison of obtained results by previous works showed good agreement and moreover, the results showed that filtered data have higher correlation coefficient but because of the applied accuracy in data processing this differences is no significant.

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