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以预应力钢筋混凝土梁三点弯曲试验为基础,绘制了声发射幅值、能量等AE参数相关图,揭示了预应力砼梁的损伤演化过程;借鉴NDIS-2421定量评定标准,对试验梁的损伤程度做出定性的评价;同时,通过AE特征信号Kurtosis指标的计算对演化过程进一步分析,确定4个典型失效阶段后,建立各失效阶段声发射信号特征参数数据,并设计BP神经网络模型进行训练,训练后的定型网络对梁损伤程度有很好的识别能力。可以为工程中进一步开展预应力钢筋砼结构损伤活动性的长期健康监测提供理论基础和指导。
Based on the three-point bending test of prestressed reinforced concrete beams, the AE parameters such as amplitude and energy of AE were plotted, and the damage evolution process of prestressed concrete beams was revealed. Using NDIS-2421 quantitative evaluation criteria, At the same time, through the further analysis of the evolution process of Kurtosis index of AE signature signal, four typical failure phases were determined, and the characteristic parameters of acoustic emission signals of each failure phase were established, and BP neural network model was designed to carry out Training, training network after the stereotypes of the degree of beam damage has a good ability to identify. It can provide theoretical basis and guidance for further long-term health monitoring of damage activity of prestressed reinforced concrete structures in the project.