Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 6, Issue 2


Published
on

December 30, 2021


Pages

695-702


DOI

Article

Mathematical statistics algorithm in the bending performance test of corroded reinforced concrete beams under fatigue load

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Authors

Zhengjian Li Affiliation:
Department of Civil and Architectural Engineering, Jiaozuo University, Jiaozuo, Henan 454000, China
and Lifeng Li Affiliation:
School of Foreign Language, Jiaozuo University, Jiaozuo, Henan 454000, China


Abstract

Harsh environments such as alternating wet and dry conditions and cyclic loading cause erosion in steel bars, leading to severe damage to structures. Steel bars are also prone to bending under long-term fatigue loads. This paper establishes the bending performance test of corroded reinforced concrete (RC) beam under fatigue load based on the mathematical–statistical algorithm. It investigates the influence of heavy load on the fatigue performance of damaged RC beams, the influence of corrosive environment on the fatigue performance of RC beams, the degree of corrosion of steel bars in concrete beams under fatigue loading, and the distribution of chloride ions. The study results found that the stress ratio has a significant effect on the maximum crack width of the specimen beam. The greater is the stress ratio, the longer the fatigue life. This directly affects the performance of the specimen beam under fatigue loading. For this reason, we should pay special attention to the impact of corrosion on the fatigue performance of a structure during the design of steel bars.


Keywords

reinforced concrete beam, mathematical, statistical algorithm, fatigue load, bending performance, 03B48


Citation

Li, Z. & Li, L. (2021). Mathematical statistics algorithm in the bending performance test of corroded reinforced concrete beams under fatigue load. Applied Mathematics and Nonlinear Sciences, 6(2), 695–702. https://doi.org/10.2478/amns.2021.2.00142

Published by: Engineering Journals

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