Empirical equations for shear strength of conventional reinforced concrete shear walls

Zeynep Tuna Deger, Cagri Basdogan

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

The majority of shear wall buildings constructed prior to the introduction of modern seismic codes includes inadequate reinforcement and detailing. To achieve an effective evaluation of such buildings, wall behavior should be well-understood and analytical models should be able to capture expected responses as accurately as possible. This study assesses a prominent shear wall characteristic, shear strength, for different dominant wall behaviors. Major seismic code equations and existing empirical expressions are assessed and alternative relations are proposed for conventional reinforced concrete shear walls. Wall shear strength equations provided by ACI 318 and JSC-2001 reveal the closest-to-accurate results for most wall types, although some discrepancies are observed for nonrectangular shear-controlled walls. The proposed empirical equations are derived using regression analyses with a machine learning approach and are valuable in that they are easy to use, interpretable, compatible with physical behavior, and are able to estimate shear strength reasonably close to accurate.

Original languageEnglish
Pages (from-to)61-71
Number of pages11
JournalACI Structural Journal
Volume118
Issue number2
DOIs
Publication statusPublished - Mar 2021

Bibliographical note

Publisher Copyright:
Copyright © 2021, American Concrete Institute. All rights reserved.

Funding

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 article are those of

FundersFunder number
TUBITAK114M264
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu

    Keywords

    • Empirical equations
    • Machine learning
    • Reinforced concrete shear wall
    • Shear strength
    • Wall test database

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