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Published 2011 | Accepted Version
Book Section - Chapter Open

A damage detection method for instrumented civil structures using prerecorded Green's functions and cross-correlation

  • 1. ROR icon California Institute of Technology


Automated damage detection methods have application to instrumented structures that are susceptible to types of damage that are difficult or costly to detect. The presented method has application to the detection of brittle fracture of welded beam-column connections in steel moment-resisting frames (MRFs), where locations of potential structural damage are known a priori. The method makes use of a prerecorded catalog of Green's function templates and a cross-correlation method to detect the occurrence, location, and time of structural damage in an instrumented building. Unlike existing methods, the method is designed to recognize and use mechanical waves radiated by the original brittle fracture event, where the event is not known to have occurred with certainty and the resulting damage may not be visible. An experimental study is conducted to provide insight into applying the method to a building. A tap test is performed on a small-scale steel frame to test whether cross-correlation techniques and catalogued Green's function templates can be used to identify the occurrence and location of an assumed-unknown event. Results support the idea of using a nondestructive force to characterize the building response to high-frequency dynamic failure such as weld fracture.

Additional Information

We would like to thank donors to the Hartley Fellowship and the Lin Lab for their support.

Attached Files

Accepted Version - 2011_ANCRiSST_heckman_kohler_heaton_052.pdf


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August 22, 2023
March 11, 2024