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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Cold Regions Science...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Cold Regions Science and Technology
Article . 1991 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Distribution parameters for flexural strength of ice

Authors: Parsons, B. L.; Lal, M.;

Distribution parameters for flexural strength of ice

Abstract

Abstract Thirteen sets of flexural strength data for simply supported beams were examined to check the appropriateness of the three-parameter Weibull distribution and the double exponential extremal distribution. As the thirteen data sets involve different kinds of ice with various microstructures, temperature, salinities and volumes tested under different loading rates, the parameters vary among the data sets. Kolomogorov-Smirnov one-sample goodness-of-fit test is found to be significant at 5% level of confidence for the two assumed distributions. The parameters as well as their standard deviations are given. It is found that the double exponential distribution is more convenient to work with as compared to the three-parameter Weibull form and it gives nearly equal mean strength with a more conservative estimate of the coefficient of variation.

Keywords

ice strength, probability distribution, Weibull three parameter

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
Average
Average
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