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Modelling the degradation of vibration characteristics of reinforced concrete beams due to flexural damage

机译:模拟钢筋混凝土梁由于弯曲损伤而引起的振动特性退化

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摘要

This paper presents an improved crack model incorporating non-linearity of flexural damage in concrete to reproduce changes in vibration properties of cracked reinforced concrete beams. A reinforced concrete beam model with multiple-distributed flexural cracks is developed, in which the cracked regions are modelled using the fictitious crack approach and the undamaged parts are treated in a linear-elastic manner. The model is subject to incremental static four-point bending, and its dynamic behaviour is examined using different sinusoidal excitations including swept sine and harmonic signals. From the swept sine excitations, the model simulates changes in resonant frequency with increasing damage. The harmonic excitations are utilised to investigate changes in modal stiffness extracted from the restoring force surfaces, and changes in the level of non-linearity are deduced from the appearance of super-harmonics in the frequency domain. The simulation results are compared with experimental data of reinforced concrete beams subject to incremental static four-point bending. The comparisons revealed that the proposed crack model is able to quantitatively predict changes in vibration characteristics of cracked reinforced concrete beams. Changes are sensitive to support stiffness, where the sensitivity increases with stiffer support conditions. Changes in the level of non-linearity with damage are not suitable for damage detection in reinforced concrete structures because they do not follow a monotonic trend.
机译:本文提出了一种改进的裂缝模型,该模型结合了混凝土挠曲损伤的非线性特性,可再现开裂的钢筋混凝土梁振动特性的变化。建立了具有多个分布挠曲裂缝的钢筋混凝土梁模型,其中使用虚拟裂缝方法对裂缝区域进行建模,并对未损坏的零件进行线性弹性处理。该模型承受增量的静态四点弯曲,并且使用包括正弦和谐波信号在内的不同正弦激励来检查其动态行为。通过扫描正弦激励,该模型可以模拟随着损坏增加而谐振频率的变化。利用谐波激励来研究从恢复力表面提取的模态刚度的变化,并从频域中的超谐波的出现中推断出非线性程度的变化。将模拟结果与钢筋混凝土梁在承受静态四点增量弯曲时的试验数据进行了比较。比较表明,提出的裂纹模型能够定量预测开裂的钢筋混凝土梁振动特性的变化。变化对支撑刚度很敏感,在这种情况下,敏感度会随着更严格的支撑条件而增加。非线性水平随损伤的变化不适用于钢筋混凝土结构中的损伤检测,因为它们不遵循单调趋势。

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