Calculation of Characteristic Point Parameters for Restoring Model of Corroded Short-Pier RC Shear Walls

Author:

Qin Qing12,Cheng Haojie1,Zhang Chenghua1,Ding Sha3

Affiliation:

1. School of Civil and Architecture Engineering, Xi’an University of Science and Technology, Xi’an 710054, China

2. State Key Laboratory of Green Building in Western China, Xi’an University of Architecture & Technology, Xi’an 710055, China

3. Department of Civil Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China

Abstract

Based on the quasi-static tests of 12 corroded RC (reinforced concrete) shear walls, it was found that reinforcement corrosion has a great influence on the skeleton curve of RC shear walls. With an increase in the degree of corrosion, the bearing capacity of specimens decreases, and the deformation capacity worsens. Increasing the diameter of longitudinal reinforcements can significantly improve the bearing capacity of corroded RC shear walls, while the deformation capacity of corroded specimens can be improved by increasing the lateral distributed reinforcement or the transverse reinforcement in the embedded column. In order to accurately evaluate the seismic performance of corroded RC shear walls, we considered descent segments of four broken-line models to estimate the skeleton curve. After considering the influence of corrosion on the parameters of the characteristic point for the skeleton curve, the calculation formulas of the characteristic point parameters of the skeleton curve for the corroded RC shear wall were determined based on the test data fitting. It was proven that the formula for the characteristic point parameters for the skeleton curve of corroded RC shear walls has good applicability. This study lays a theoretical foundation for the seismic performance evaluation of an RC shear wall structure in a salt fog environment. It provides a theoretical basis for further improving the life-cycle seismic capacity evaluation system for RC structures.

Funder

Opening Fund of State Key Laboratory of Green Building in Western China

Natural Science Basic Research Program of Shanxi

Publisher

MDPI AG

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