49
Views
4
CrossRef citations to date
0
Altmetric
Original Articles

Applicability of electric arc furnace oxidising slag aggregates for RC columns subjected to combined bending and axial loads

, , , &
Pages S2-793-S2-798 | Received 15 Sep 2013, Accepted 12 Dec 2013, Published online: 30 May 2014
 

Abstract

This study evaluates the applicability of electric arc furnace (EAF) oxidising slag as a concrete aggregate for structural members. The test variables are designed to the types of aggregates and axial loads. A total of six reinforced concrete columns subjected to reversed cyclic antisymmetric moment are tested in flexure. From experimental results, flexural strength of specimens with EAF oxidising slag aggregates is similar to that of specimens with natural aggregates regardless of axial loads. Furthermore, it can be founded from test results that ductility capacity of slag aggregate specimens is superior to that of natural aggregate specimens.

Acknowledgements

This work was supported by the Priority Research Centres Programme (2012-0006682) and Basic Science Research Programme (2012R1A1A2039067) through the National Research Foundation of Korea funded by the Ministry of Education, Science and Technology. This research was also financially supported by the Human Resources Development programme (No. 20114010203040) of the Korea Institute of Energy Technology Evaluation and Planning grant funded by the Korea government Ministry of Trade, Industry and Energy.

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 286.00 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.