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 (8/8 displayed)

  • 2022Mix design of concrete33citations
  • 2021Geopolymer concrete as sustainable material228citations
  • 2021Predictive modeling for sustainable high-performance concrete from industrial wastes332citations
  • 2021Sugarcane bagasse ash-based engineered geopolymer mortar incorporating propylene fibers117citations
  • 2020A comparative study on performance evaluation of hybrid GNPs/CNTs in conventional and self-compacting mortar42citations
  • 2020New Prediction Model for the Ultimate Axial Capacity of Concrete-Filled Steel Tubes111citations
  • 2019Effects of Incorporation of Marble Powder Obtained by Recycling Waste Sludge and Limestone Powder on Rheology, Compressive Strength, and Durability of Self-Compacting Concrete38citations
  • 2018Study of the Effects of Marble Powder Amount on the Self-Compacting Concretes Properties by Microstructure Analysis on Cement-Marble Powder Pastescitations

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Saleh, Peshkawt
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Ahmed, Hawreen
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Aslani, Farhad
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Shakor, Pshtiwan
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Kurda, Rawaz
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Javed, Muhammad Faisal
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Rahman, Sardar Kashif Ur
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Rehman, Sardar Kashif Ur
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Khan, Mohsin Ali
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Memon, Shazim Ali
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Khadimallah, Mohamed Amine
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Co-Authors (by relevance)

  • Saleh, Peshkawt
  • Ahmed, Hawreen
  • Salih, Ahmed
  • Aslani, Farhad
  • Shakor, Pshtiwan
  • Kurda, Rawaz
  • Javed, Muhammad Faisal
  • Aslam, Fahid
  • Akbar, Arslan
  • Farooq, Furqan
  • Shah, Muhammad Izhar
  • Ahmed, Wisal
  • Alabduljabbar, Hisham
  • Shafique, Muhammad
  • Khushnood, Rao Arsalan
  • Rahman, Sardar Kashif Ur
  • Rehman, Sardar Kashif Ur
  • Khan, Mohsin Ali
  • Memon, Shazim Ali
  • Khadimallah, Mohamed Amine
  • Soussi, Chokri
  • Mohamed, Abdeliazim Mustafa
  • Benjeddou, Omrane
OrganizationsLocationPeople

article

New Prediction Model for the Ultimate Axial Capacity of Concrete-Filled Steel Tubes

  • Javed, Muhammad Faisal
  • Aslam, Fahid
  • Alabduljabbar, Hisham
  • Rehman, Sardar Kashif Ur
  • Akbar, Arslan
  • Alyousef, Rayed
  • Farooq, Furqan
  • Khan, Mohsin Ali
  • Memon, Shazim Ali
Abstract

The complication linked with the prediction of the ultimate capacity of concrete-filled steel tubes (CFST) short circular columns reveals a need for conducting an in-depth structural behavioral analyses of this member subjected to axial-load only. The distinguishing feature of gene expression programming (GEP) has been utilized for establishing a prediction model for the axial behavior of long CFST. The proposed equation correlates the ultimate axial capacity of long circular CFST with depth, thickness, yield strength of steel, the compressive strength of concrete and the length of the CFST, without need for conducting any expensive and laborious experiments. A comprehensive CFST short circular column under an axial load was obtained from extensive literature to build the proposed models, and subsequently implemented for verification purposes. This model consists of extensive database literature and is comprised of 227 data samples. External validations were carried out using several statistical criteria recommended by researchers. The developed GEP model demonstrated superior performance to the available design methods for AS5100.6, EC4, AISC, BS, DBJ and AIJ design codes. The proposed design equations can be reliably used for pre-design purposes—or may be used as a fast check for deterministic solutions.

Topics
  • impedance spectroscopy
  • experiment
  • strength
  • steel
  • yield strength