STEEL BRIDGE CORROSION DETECTION BY WAVELET TRANSFORM THEORY

作者: James H. Garrett , Lucio Soibelman , Chung Yan Shih , Jia Shin Dai , Shih-Lin Hung

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摘要: Corrosion causes section loss in steel members and hence can be responsible for disastrous consequences, particularly if it affects critical components. However, the subjective nature of inspection methods is a contentious issue infrastructure management has been identified as obstacle to producing effective rating assessment. As result, providing objective, accurate reliable information become very important rehabilitation bridges. The main purpose this research explore application wavelet transforms analyze corrosion images provide objective on level present. This paper illustrates that time frequency domain used process identify measure status surface coating preliminary results show proposed approach appears feasible. provides an opportunity evaluate based consistent analytical information.

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