Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Singar, Mahendra Kr.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2022Mathematical Expressions Model to forecast for Chloride Ion Penetration and Comp. Strength of Recycled Coarse Aggregate Concrete Incorporating Meta-kaolin1citations
  • 2022“Experimental Studied of Density and Water absorption of Recycled Coarse Aggregate Concrete Incorporating GGBFS and FA”2citations

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Singh, Om Prakash
2 / 3 shared
Kumar, Sandeep
1 / 23 shared
Kumar, Ravindra
1 / 3 shared
Chart of publication period
2022

Co-Authors (by relevance)

  • Singh, Om Prakash
  • Kumar, Sandeep
  • Kumar, Ravindra
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article

Mathematical Expressions Model to forecast for Chloride Ion Penetration and Comp. Strength of Recycled Coarse Aggregate Concrete Incorporating Meta-kaolin

  • Singar, Mahendra Kr.
  • Singh, Om Prakash
  • Kumar, Sandeep
Abstract

<jats:title>Abstract</jats:title><jats:p>This research investigates the mathematical modeling of compressive strength (CS) of concrete cured cube at 3, 7 &amp; 28 days and chloride penetration resistance of cylindrical concrete specimens cured at 28 days incorporating of Meta-kaolin (MK). The experimental data results were shown various concrete specimens close to recognize compressive strength (CS) and penetration of chloride ion. Ordinary Portland cement (OPC) has been partial replacement of 0%, 5%, 8%, 12%, 16%, 18% and 20% by Meta-kaolin (MK). Compressive strength (CS) results discover through the cubes and rapid chloride penetration test (RCPT) presented. Two predictive regression models established, first for compressive strength (CS) of concrete specimen at the days of 3, 7, and 28 and second for charge passed Q at 28 days. To predictive the mathematical models have been established and have good precision, correlation by experimental results of data.</jats:p>

Topics
  • strength
  • cement