A neural network-based approach for detection of structural damage

Ching Yun Kao*, Shih-Lin Hung

*此作品的通信作者

研究成果: Conference article同行評審

5 引文 斯高帕斯(Scopus)

摘要

This work presents a novel neural network based-approach for detecting structural damage. The proposed approach involves two steps. The first step, system identification, uses Neural System Identification Networks (NSINs) to identify the undamaged and damaged states of a structural system. The second step, structural damage detection, uses the aforementioned trained NSINs to generate free vibration responses with the same initial condition or impulsive force. Comparing the period and amplitude of the free vibration responses of the damaged and undamaged states allows the extent of changes to be assessed. An experimental example demonstrates the feasibility of applying the proposed method for detecting structural damage.

原文English
文章編號459-070
頁(從 - 到)251-256
頁數6
期刊Proceedings of the IASTED International Conference on Modelling and Simulation
出版狀態Published - 5月 2005
事件16th IASTED International Conference on Modelling and Simulation - Cancun, Mexico
持續時間: 18 5月 200520 5月 2005

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