普通混凝土和钢筋混凝土疲劳寿命预测研究进展

S. VishnuB, Keerthy M. Simon, J. BharatiRaj
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引用次数: 0

摘要

桥梁甲板、机场和公路路面、海上结构和机械基础等许多基础设施都承受着疲劳荷载。这种循环荷载引起材料逐渐的、永久的内部变化,从而影响基础设施的剩余寿命。混凝土的非均质性增加了钢筋混凝土疲劳破坏分析的复杂性。本文综述了普通混凝土和钢筋混凝土构件疲劳寿命预测模型。本文综述了用于预测普通混凝土和钢筋混凝土疲劳寿命的各种确定性和概率模型。确定性方法依赖于某些初始参数和条件,不能准确确定混凝土的疲劳寿命。这导致了基于概率方法的更广义模型的发展,该模型考虑了混凝土疲劳破坏的随机性。人工神经网络是近年来兴起的一种新型计算工具,它采用概率方法对复杂关系进行建模。
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Fatigue Life Prediction of Plain and Reinforced Concrete – A Review
Many infrastructures like Bridge decks, airfield and highway pavements, offshore structure and machinery foundation are subjected to fatigue loading. This cyclic loading induces gradual, permanent internal changes in a material and thereby affecting the remaining life of the infrastructure. The heterogeneities in concrete add complexities in analysing fatigue failure of reinforced concrete. This review paper discuss about fatigue life prediction models for both plain and reinforced concrete structural member. This review paper comprises various deterministic and probabilistic models used in predicting the fatigue life of plain and reinforced concrete. Deterministic approach is dependent on some initial parameters and conditions and is unreliable to accurately determine the fatigue life of concrete. This results in the development of a more generalized model based on a probabilistic approach that accounts for the stochasticity in fatigue failure of concrete. In recent years, artificial neural network emerged as a new promising computational tool which adopts a probabilistic approach for modelling complex relationships.
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