Cyclic Behavior of Masonry Shear Walls Retrofitted with Engineered Cementitious Composite and Pseudoelastic Shape Memory Alloy - Publication - Bridge of Knowledge

Search

Cyclic Behavior of Masonry Shear Walls Retrofitted with Engineered Cementitious Composite and Pseudoelastic Shape Memory Alloy

Abstract

The behavior of masonry shear walls reinforced with pseudoelastic Ni–Ti shape memory alloy (SMA) strips and engineered cementitious composite (ECC) sheets is the main focus of this paper. The walls were subjected to quasi-static cyclic in-plane loads and evaluated by using Abaqus. Eight cases of strengthening of masonry walls were investigated. Three masonry walls were strengthened with different thicknesses of ECC sheets using epoxy as adhesion, three walls were reinforced with different thicknesses of Ni–Ti strips in a cross form bonded to both the surfaces of the wall, and one was utilized as a reference wall without any reinforcing element. The final concept was a hybrid of strengthening methods in which the Ni–Ti strips were embedded in ECC sheets. The effect of mesh density on analytical outcomes is also discussed. A parameterized analysis was conducted to examine the influence of various variables such as the thickness of the Ni–Ti strips and that of ECC sheets. The results show that using the ECC sheet in combination with pseudoelastic Ni–Ti SMA strips enhances the energy absorption capacity and stiffness of masonry walls, demonstrating its efficacy as a reinforcing method.

Citations

  • 9

    CrossRef

  • 0

    Web of Science

  • 8

    Scopus

Authors (4)

  • Photo of Master of Science Alireza Tabrizikahou

    Alireza Tabrizikahou Master of Science

  • Photo of  Ehsan Noroozinejad

    Ehsan Noroozinejad

  • Photo of  Mieczysław Kuczma

    Mieczysław Kuczma

  • Photo of  Magdalena Łasecka-Plura

    Magdalena Łasecka-Plura

Cite as

Full text

full text is not available in portal

Keywords

Details

Category:
Magazine publication
Type:
Magazine publication
Published in:
SENSORS no. 22, edition 2,
ISSN: 1424-8220
ISSN:
1424-8220
Publication year:
2022
DOI:
Digital Object Identifier (open in new tab) 10.3390/s22020511
Verified by:
No verification

seen 143 times

Recommended for you

Meta Tags