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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2023Neural Network-Based Estimation of Flexural Performance for Polymer Permeable Concrete1citations

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Chart of shared publication
Awaz, Muhammad
1 / 1 shared
Adeel, Muhammad
1 / 2 shared
Zaib, Shah
1 / 1 shared
Islam, Md Nowsad
1 / 1 shared
Younas, Muhammad Waqas
1 / 2 shared
Prodhan, Md Atowar Rahman
1 / 1 shared
Akter, Mst Julia
1 / 1 shared
Chart of publication period
2023

Co-Authors (by relevance)

  • Awaz, Muhammad
  • Adeel, Muhammad
  • Zaib, Shah
  • Islam, Md Nowsad
  • Younas, Muhammad Waqas
  • Prodhan, Md Atowar Rahman
  • Akter, Mst Julia
OrganizationsLocationPeople

article

Neural Network-Based Estimation of Flexural Performance for Polymer Permeable Concrete

  • Awaz, Muhammad
  • Adeel, Muhammad
  • Zaib, Shah
  • Islam, Md Nowsad
  • Younas, Muhammad Waqas
  • Zakaria, Md
  • Prodhan, Md Atowar Rahman
  • Akter, Mst Julia
Abstract

<jats:p>Pervious concrete is increasingly used to reduce runoff water and improve water quality near pavements and parking lots, but highway pavement structures cannot use it due to its high porosity and reduced strength. To address the issue of lower flexural strength in permeable concrete, this study designs and conducts 11 different tests with varying mix ratios. The objective is to ensure that the resulting concrete satisfies both permeability and compression resistance requirements. The uniform test method is employed to measure the flexural strength of the concrete after a period of 28 days. This study employs neural networks to analyze the flexural performance of polymer permeable concrete by considering various input factors such as cement consumption, water consumption, STA (4.75 to 9.5 mm stones), STB (9.5 to 16 mm stones), VAE (vinyl acetate-ethylene) polymer content, and SAP polymer content. The objective is to optimize the mix proportion of polymer permeable concrete and identify a suitable ratio that satisfies the requirements of pavement structural flexural performance. </jats:p>

Topics
  • impedance spectroscopy
  • polymer
  • strength
  • cement
  • flexural strength
  • permeability
  • porosity