TA602 : Seismic Performance of a New Self Centering-Repairable RC Shearwall
Thesis > Central Library of Shahrood University > Civil & Architectural Engineering > MSc > 2021
Authors:
Jafar Hosseini [Author], Farnoosh Basaligheh[Author], Jalil Shafaei[Advisor]
Abstarct: Permanent deformation after an earthquake increases the cost of retrofit and even the implementation of the rehabilitation plan. One of the passive control methods to control the lateral forces from the earthquake is to use a shear wall with good energy dissipation capability. Permanent deformation and cracking in the border and critical areas of the wall after relatively strong earthquakes leads to a decrease in the seismic performance of the wall. In this research, the responses and cyclic behavior of concrete shear walls under the cyclic loading protocol are investigated. For this purpose, using OpenSEES finite element software, concrete shear wall modeling baxsed on SFI-ΜVLEM method or wall modeling using multiple vertical elements baxsed on macrofiber method has been studied. The main models analyzed in this study include 2 concrete walls with steel rebars and memory alloy (SMA) with different dimensions and arrangement of reinforcements and innovative concrete wall with separate border elements in the form of concrete columns made of engineered concrete (ECC) and SMA rebars. Validation of the models was baxsed on previous studies. After validation of the initial models, the parametric study of the models was performed in order to investigate the effects of the dimensions of the boundary areas, the type and arrangement of the reinforcements and the amount of gravitational forces on the shear walls in the models. The results obtained from the outputs show that the use of SMA materials in the boundary areas of the wall has a significant effect on the selfcentering behavior of the wall and the energy dissipation of the shear wall is reduced by using SMA materials.
Keywords:
#Concrete shear wall #shaped memory alloy #residual displacement #selfcentering behavior #cyclic analysis. Keeping place: Central Library of Shahrood University
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