Study of structural damage identification through various convolutional neural network models: exploring the accuracy and efficiency
Pengyu Li,
Yongjie Cao
Abstract:In recent years, Artificial Intelligence (AI) has found widespread application in various fields, owing to its efficient data processing capabilities. In Structural Health Monitoring (SHM), AI methods are employed to analyze structural vibration frequency signals, thereby enabling the identification of structural damage. However, due to the existence of numerous methods, further research is essential to investigate the impact of different approaches of damage identification results. In this study, three types … Show more
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