Abstract

With an extension in service years, bridges inevitably suffer from performance deterioration. Columns are the main components of bridge structures, which support the superstructure. The damage of pier columns is often more harmful to bridges than that of other components. To accurately evaluate the time-varying characteristics of corroded columns, this paper proposes a new model for the bearing capacity evaluation of deteriorated reinforced concrete (RC) eccentric compression columns based on the Hermite interpolation and Fourier function. Firstly, the axial compression point, the pure bending point and the balanced failure point were selected as the basic points, and the deteriorated strength of these basic points was calculated by considering factors such as concrete cracking, reduction of reinforcement area, buckling of the steel bar, bond slip and strength reduction of confined concrete. After that, the interpolation points were generated by a piecewise cubic Hermite interpolating polynomial, and the explicit expression of the interpolation points fitting function was realized by the trigonometric Fourier series model. Finally, comparison studies based on measured data from forty-five corroded RC eccentric compression columns were conducted to investigate the accuracy and efficiency of the proposed method. The results show that: (1) the prediction results for bearing capacity of corroded RC columns are in good agreement with the measured data, with the average ratio of predicted results to test results at 1.06 and the standard deviation at 0.14; (2) the proposed model unifies the three stress states of axial compression, eccentric compression and pure bending, and is consistent with the continuum mechanics characteristics; (3) the decrements of axial load carrying capacity for 10% and 50% of the corrosion rate are 31.4% and 45.2%, while in flexure they are 25.4% and 77.4%, respectively; and (4) the test data of small-scale specimens may overestimate the negative effect of corrosion on the bearing capacity of actual structures. The findings in this paper could lay a solid starting point for structural life prediction technologies based on nondestructive testing.

Highlights

  • As the key node of interoperability of traffic systems, the bridge is a vital guarantee for the development of the economy and social safety [1]

  • This paper mainly focuses on the bearing capacity evaluation method for corroded reinforced concrete (RC) columns based on moment–axial force (M–N) curves

  • 1 + β1 with where E p is the hardening modulus of the steel bar, E p = β 1 Es, with β 1 = 1 in the elastic range or assumed to be 0.03 at the yielding stage [29]; A all is the area of longitudinal reinforcement; Er is the elastic modulus of the corroded steel bar; Es is the elastic modulus of the steel bar; and k1 denotes the stiffness parameter, for a corner bar, which can be calculated by k1 =

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Summary

Introduction

As the key node of interoperability of traffic systems, the bridge is a vital guarantee for the development of the economy and social safety [1]. According to the process of concrete cracking induced by the longitudinal rebar corrosion, Zhang et al [20] divided the bearing capacity degeneration into three stages: pre-cracking, cracking and splitting, and the assessment model of the bearing capacity for the small eccentric compressive members was established, considering the biaxial stress condition in the stage of pre-cracking, the shear-tensile stress condition in the stage of cracking and the failure of the cover in the stage of splitting Such models focus on the mechanism of materials deterioration on the structure under a single mechanical state. Compared with the prediction accuracy of the existing model, the proposed method can achieve satisfactory prediction results

The Proposed Model
3: N-term Fourier model
Section
3.46 Er Ik1
Pure bending point
Balanced Failure Point
Hermite Interpolation
Fourier Fitting
Model Validation
Validation by Experimental Data
Comparison
Validation
Method
Structural
Findings
Conclusions
Full Text
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