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  <title>DSpace Collection:</title>
  <link rel="alternate" href="http://localhost:8080/xmlui/handle/123456789/2823" />
  <subtitle />
  <id>http://localhost:8080/xmlui/handle/123456789/2823</id>
  <updated>2026-06-23T06:33:32Z</updated>
  <dc:date>2026-06-23T06:33:32Z</dc:date>
  <entry>
    <title>Prediction of Strength of Remixed Concrete by Application of Orthogonal Decomposition, Neural Analysis and Regression Analysis</title>
    <link rel="alternate" href="http://localhost:8080/xmlui/handle/123456789/2824" />
    <author>
      <name>Bidkar, K. L.</name>
    </author>
    <author>
      <name>Jadhao, P. D.</name>
    </author>
    <id>http://localhost:8080/xmlui/handle/123456789/2824</id>
    <updated>2020-12-07T09:35:31Z</updated>
    <published>2019-06-02T00:00:00Z</published>
    <summary type="text">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</summary>
    <dc:date>2019-06-02T00:00:00Z</dc:date>
  </entry>
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