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    <pubDate>Tue, 23 Jun 2026 06:27:54 GMT</pubDate>
    <dc:date>2026-06-23T06:27:54Z</dc:date>
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      <title>Prediction of Strength of Remixed Concrete by Application of Orthogonal Decomposition, Neural Analysis and Regression Analysis</title>
      <link>http://localhost:8080/xmlui/handle/123456789/2824</link>
      <description>Title: Prediction of Strength of Remixed Concrete by Application of Orthogonal Decomposition, Neural Analysis and Regression Analysis
Authors: Bidkar, K. L.; Jadhao, P. D.
Abstract: Compressive strength is the foremost property&#xD;
of concrete which is in uenced by a number of parameters. These parameters plays important role for the characteristics achieved by concrete. Orthogonal decomposition, neural analysis and regression analysis tools can be&#xD;
utilized where the dependence and independence of these&#xD;
parameters to be considered. In this paper these analyses&#xD;
are considered for remix concrete, in which apart from the&#xD;
cement contents, w/c ratio, proportions of C.A., F.A., the&#xD;
other parameters like blend ratio (r=Qo/Qf&#xD;
, Qo=quantity&#xD;
of old partially set concrete, Qf =quantity of fresh concrete)&#xD;
time lag ( time between preparation and placing of concrete) also plays the important role</description>
      <pubDate>Sun, 02 Jun 2019 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://localhost:8080/xmlui/handle/123456789/2824</guid>
      <dc:date>2019-06-02T00:00:00Z</dc:date>
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