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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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%

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Publications (1/1 displayed)

  • 2024DATA-DRIVEN ASSESSMENT OF SHEAR STRENGTH OF SINUSOIDAL CORRUGATED STEEL WEBScitations

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Barakat, Samer
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2024

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  • Barakat, Samer
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article

DATA-DRIVEN ASSESSMENT OF SHEAR STRENGTH OF SINUSOIDAL CORRUGATED STEEL WEBS

  • Barakat, Samer
  • Junaid, Muhammad Talha
Abstract

<jats:p>The construction industry increasingly recognizes the value of steel beams with corrugated webs for their enhanced resistance to buckling, superior shear capacity, and the elimination of the need for web stiffeners. While a wealth of research focuses on beams with trapezoidal corrugated webs, investigations into sinusoidal corrugated webs (SCWs) remain comparatively sparse. This work investigates the variability in the prediction of the various models and assesses the interactions among different influencing parameters affecting the shear strength of sinusoidal corrugated steel web beams. A comprehensive database of 66 experimental data on SCW beams is assembled and rigorously examined to facilitate this analysis. The collected database is used to test the prediction accuracy of the existing design models provided by codes or proposed models in the literature. The Eurocode3 and DASt-Ri. 015 code models are considered in this study. The results of the evaluated prediction models showed considerable scatters, emphasizing the ongoing need for research to enhance the accuracy of these predictive models for better application in construction practices.</jats:p>

Topics
  • impedance spectroscopy
  • strength
  • steel