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PERFORMANCE PREDICTION OF STEEL FIBER-REINFORCED RECYCLED AGGREGATES CONCRETE DEEP BEAMS WITH WEB OPENINGS

Research output: Contribution to journalConference articlepeer-review

Abstract

This paper aims to predict the shear strength of reinforced concrete (RC) deep beams containing web openings made with recycled concrete aggregates (RCAs) and steel fibers. Four numerical deep beam models were developed and verified against published experimental data. Three beam models had a 100% RCA replacement ratio, whereas one beam model was made with natural aggregates (NAs). One of the RCA-based beam models included steel fibers, one beam had internal steel stirrups, and the third beam was kept without steel fibers nor steel stirrups. The simulation models adopted a tensile softening law established through an inverse analysis of flexural test data of concrete prisms. The accuracy of published analytical formulas was also examined. The ratio of the shear strength predicted numerically to that measured experimentally was 0.89 to 1. Existing analytical formulas examined in this study overestimated the shar capacity of the tested deep beams by up to 49%.

Original languageEnglish
JournalSustainable Construction Materials and Technologies
DOIs
Publication statusPublished - 2024
Event6th International Conference on Sustainable Construction Materials and Technologies, SCMT 2024 - Lyon, France
Duration: Jun 9 2024Jun 14 2024

Keywords

  • Recycled concrete aggregates
  • deep beams
  • numerical modeling
  • shear behavior
  • steel fibers
  • web openings

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • General Materials Science
  • Mechanics of Materials

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