![]() To fill this gap, this paper proposes a wireless large-area strain sensor (WLASS) to measure large-area strain fatigue cracks and develops an effective algorithm to process the measured large-area strain data into actionable information. However, long-term field monitoring of localized damage such as fatigue cracks has been limited due to the lack of effective sensors and the associated algorithms specifically designed for fatigue crack monitoring. On the other hand, wireless smart sensors have achieved great success in global SHM by enabling long-term modal identifications of civil structures. ![]() Currently, accurate and reliable fatigue crack monitoring for the safety assessment of bridges is still a difficult task. Steel bridges experience fatigue cracks under repetitive traffic loading, which pose great threats to their structural integrity and can lead to catastrophic failures. This paper presents a field implementation of the structural health monitoring (SHM) of fatigue cracks for steel bridge structures.
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