2024 : 4 : 27
Arman Mamazizi

Arman Mamazizi

Academic rank: Assistant Professor
ORCID: https://orcid.org/my-orcid?orcid=0000-0003-0440-8495
Education: PhD.
ScopusId: 987
Faculty: Faculty of Engineering
Address: No.209 at Department of Civil Engineering, University of Kurdistan, Sanandaj, Iran. P.O.Box: 66177-15175
Phone: +98 (0)87 33660073

Research

Title
Numerical investigation of RC deep beams containing recycled aggregates
Type
JournalPaper
Keywords
Deep beam Recycled Aggregate (RA) Numerical analysis Nonlinear finite element Brittle behavior Ductile behavior Size effect
Year
2022
Journal CONSTRUCTION AND BUILDING MATERIALS
DOI
Researchers Reza Soltanabadi ، Kiachehr Behfarnia ، Arman Mamazizi

Abstract

In this study, the behavior of reinforced concrete deep beams containing natural coarse aggregates (NCA), recycled concrete aggregates (RCA), and recycled asphalt pavement aggregates (RAP) was numerically investigated. The required parameters for use in the nonlinear finite element analysis were discussed in detail. To examine the accuracy of the nonlinear analysis, the numerical analysis results for deep beams containing NCA, RCA, and RAP were validated with experimental results. The most important parameters that could affect the behavior of concrete deep beams were proposed. The numerical analysis results for 63 concrete deep beam specimens indicated that the deep beams containing NCA and RCA exhibited nearly similar behavior for any a/h and L/h ratios, whereas RAP deep beams behaved differently from the two corresponding specimens. The deep beams made with RCA and NCA had brittle behavior for any value of the a/h and L/h ratios, while those containing RAP showed more ductility. The energy absorption was far greater for RAP deep beams compared with the NCA and RCA specimens. The absorbed energy in NCA and RCA deep beams was nearly the same. The size effect phenomenon was almost similar in the deep beams made with NCA and RCA, whereas in the RAP deep beams, the intensity of this effect was less severe.