212
Views
4
CrossRef citations to date
0
Altmetric
Original Articles

Flexural behaviour prediction for RC beams in consideration of compressive stress distribution of concrete with electric arc furnace oxidising slag aggregates

, , , &
Pages 689-708 | Received 17 Apr 2017, Accepted 12 Dec 2017, Published online: 27 Dec 2017
 

Abstract

Research on the efficient utilisation of electric arc furnace oxidising slag, a by-product of the steel industry, is necessary as it is similar to natural aggregates in terms of chemical composition. The slag is also being produced in increasing amounts every year. This study performed flexural experiments on simply support beams with aggregate type and examined their concrete compressive strength, tension reinforcement ratio and compressive reinforcement ratio as variables to assess the effects of compressive stress distribution of concrete with electric arc furnace oxidising slag aggregates on the flexural behaviour of reinforced concrete beams. Compared to specimens with natural aggregates, electric arc furnace oxidising slag aggregates showed a smaller deflection before the yielding of tension reinforcement and ductile behaviour after yielding due to differences in compressive stress distribution. In addition, the proposed equations for the equivalent rectangular stress block parameter were found to provide more accurate predictions than the criterion used by other countries.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 229.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.