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Empirical expressions for deformation capacity of reinforced concrete structural walls

  • Istanbul Technical University

Araştırma sonucu: Dergiye katkıMakalebilirkişi

26 Atıf (Scopus)

Özet

As performance-based design methodologies, which typically include use of nonlinear response history analysis, are being used more commonly, comprehensive expressions for nonlinear deformation capacity are needed. Based on a wall test database consisting of conventional reinforced concrete walls representing existing building stock, statistical studies were conducted to assess and develop relations for nonlinear deformation capacity of shear walls depending on expected wall behavior. Deformation capacity was associated with failure modes, which are identified based on experimental evidence, and was defined as failure drift ratio and curvature ductility for shear-controlled (usually squat) walls and flexure-controlled (relatively slender) walls, respectively. Mean drift ratio at failure was obtained as approximately 1% for shear-controlled walls, whereas mean curvature ductility was approximately 4.6 for flexure-controlled walls. Detailed regression analyses were carried out to obtain equations for deformation capacity based on wall failure modes in terms of key wall parameters. The proposed equations are practical, interpretable, and compatible with physical behavior. The proposed equations are valuable in that they can be used by engineers to provide reliable designs by assessing demand-to-capacity ratios, as they were shown to estimate deformation capacity of rectangular walls reasonably close to actual (experimental) values.

Orijinal dilİngilizce
Sayfa (başlangıç-bitiş)53-61
Sayfa sayısı9
DergiACI Structural Journal
Hacim116
Basın numarası6
DOI'lar
Yayın durumuYayınlandı - 2019

Bibliyografik not

Publisher Copyright:
Copyright © 2019, American Concrete Institute. All rights reserved,

Finansman

The project has been supported by funds from the Scientific and Technological Research Council of Turkey (TUBITAK) under Project No. 114M264. Opinions, findings, and conclusions in this paper are those of the authors and do not necessarily represent those of the funding agency. The authors would like to acknowledge professors P. Gulkan at Middle East Technical University and K. Orakcal at Bogazici University for their valuable contributions to this study, as well as C. Inceoglu (MS graduate at Istanbul Technical University) for his contribution and effort. nological Research Council of Turkey (TUBITAK) under Project No. 114M264. Opinions, findings, and conclusions in this paper are those of

FinansörlerFinansör numarası
TUBITAK
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu114M264
nological Research Council of Turkey

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