Computers and Concrete
Volume 34, Number 4, 2024, pages 503-517
DOI: 10.12989/cac.2024.34.4.503
Dual potential capacity model for predicting failure of RC beams damaged by corrosion of tensile reinforcement
Sun-Jin Han, Deuckhang Lee, Hyo-Eun Joo and Kang Su Kim
Abstract
This study presents an analysis model to estimate the shear strength of a reinforced concrete (RC) member with corroded tensile reinforcements. The thick-walled cylinder theory was modified to fit the dual potential capacity model to reflect interdependent failure mechanisms, including the degradation effect of bonds in corroded tensile reinforcement. In the proposed model, it is considered that the shear failure of corroded RC members with no proper anchorage detail is primarily dominated by the flexural-bond mechanism, where insufficient bond strength is provided owing to corrosion damage. However, when tensile reinforcements are properly anchored in the end regions using end hooks or mechanical devices, it is assumed that the tied-arch action can be developed as a secondary shear transfer mechanism, even under severe corrosion damage. The proposed model was verified by comparison with shear test results of corroded RC members collected from the literature, and it appeared that the proposed model can estimate their shear strengths with a good level of accuracy, regardless of various anchorage details and corrosion rates in tensile reinforcements.
Key Words
anchorage detail; bond performance; corrosion; dual potential capacity model; shear capacity
Address
Sun-Jin Han: Department of Architectural Engineering, Jeonju University, 303, Cheonjam-ro, Wansan-gu, Jeonju-si, Jeonbuk-do, 55069, Korea
Deuckhang Lee: Department of Architectural Engineering, Chunbuk National University, Chungdae-ro 1, Seowon-gu, Cheongju, Chungbuk, 28644, Korea
Hyo-Eun Joo: Department of Civil Engineering, The University of Tokyo, 7 Chome-3-1 Hongo, Bunkyo City, Tokyo, 113-8654, Japan
Kang Su Kim: Department of Architectural Engineering and Smart City Interdisciplinary Major Program, University of Seoul, 163 Siripdaero, Dongdaemun-gu, Seoul, 02504, Korea