钢筋混凝土梁裂缝诊断的一种智能方法
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摘要
裂缝诊断研究是近年来土木工程结构中一个重要的研究课题。及时诊断出结构的裂缝位置和裂缝深度,采取必要的维护措施,可以避免由于裂缝的发展而导致结构破坏。采用结构动态响应统计特征作为损伤指标,建立BP神经网络对钢筋混凝土简支梁进行裂缝诊断研究,较好的验证了基于结构动态响应统计特征的结构损伤识别人工神经网络方法在裂缝诊断中的适用性。
The structural crack diagnosis has been an important research subject in the field of civil engineering.To avoid the further development of cracks and subsequent damage,the location and depth of cracks must be diagnosed in real-time and some necessary protecting measures should be adopted.The statistical property of structural dynamic response is employed as the damage index.The artificial neural network(ANN) method based on the damage index is proposed and implemented in the crack diagnosis of simple supported RC beam.The ANN method application is also extended to more fields.
引文
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