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Damage Identification of Reinforced Concrete Beam Using Modal Curvature Approach

机译:模态曲率法识别钢筋混凝土梁的损伤

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Reinforced concrete (RC) beams are one of the main load bearing structural elements in buildings. These elements suffer from distress, primarily cracks, due to many reasons resulting into degradation of stiffness and strength. The modal curvature approach is a very good technique in damage identification in steel and RC beams. This study provides a critical review on the different approaches for damage prediction. The current state of the knowledge is presented and the different models which have been proposed in the past for damage identification on structural systems are discussed. In this paper, a technique for damage identification and assessment of RC beams is proposed which makes use of vibration data to compute the Curvature Damage Factor (CDF). To detect damage progression, simply-supported RC beams were subjected to an incrementally increasing static four point loading in steps till ultimate failure. After each load step, vibration measurements were performed using wireless sensors mounted at critical locations. The experimental crack pattern and results of modal curvature were compared. The results show that this approach is efficient for damage identification of reinforced concrete beams which exhibit high non-linear behavior.
机译:钢筋混凝土(RC)梁是建筑物中的主要承重结构元素之一。由于许多原因,这些元件遭受损坏,主要是裂纹,从而导致刚度和强度降低。模态曲率方法是识别钢梁和RC梁中损伤的一种非常好的技术。这项研究对损伤预测的不同方法提供了重要的评论。介绍了知识的现状,并讨论了过去提出的用于识别结构系统损伤的不同模型。本文提出了一种用于钢筋混凝土梁损伤识别和评估的技术,该技术利用振动数据来计算曲率损伤因子(CDF)。为了检测损伤的进展,对简支的RC梁进行逐步递增的静态四点加载,直到最终失效。在每个加载步骤之后,使用安装在关键位置的无线传感器执行振动测量。比较了实验裂纹模式和模态曲率结果。结果表明,该方法可有效地识别具有高非线性行为的钢筋混凝土梁的损伤。

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