A Study of Digit Image Processing Based Structural Health Monitoring (SHM)
Civil infrastructures are prone to damage and deterioration during their service life. Damage assessment attempts to determine whether structural damage has occurred, as well as the location and extent of any such damage. Hence, to establish a complete sensor system to detect damage of infrastructures is an essential task. Detecting structural damage and identifying damaged elements in a large complex structure, however, are challenging tasks since the in situ measured data of large civil infrastructures such as bridges and buildings are inaccurate (owing to noise corruption) and often incomplete (for economy consideration). Recently, development of intelligent sensor system for civil infrastructures becomes possible due to the improvement of advanced sensor and ICT technology. For traditional wired sensor system, it is difficult to set a bulky sensor system owing to the limitation of cost and inadequacy of setting. The advantage of wireless senor network and digit image processing technology can overcome the drawback of aforementioned difficulty. Recently, research on developing intelligent wireless sensor network in structural health monitoring (SHM) has been done via cooperating with EE researchers in our research team and a prototype of smart wireless sensor has been developed. Rather than wireless senor system, digit image processing technology has got more attention due to the advantage of low price, high precision, and easy installment. The objective of this research is to study the application of digit image processing based SHM for civil infrastructures. Algorithms for digit image based system identification will be developed. Small scaled building models and real bridge structures will be employed to verify the feasibility of developing digit image based SHM system.
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