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- W2336692576 abstract "Automated damage detection methods have application to instrumented structures that aresusceptible to types of damage that are difficult or costly to detect. The presented method hasapplication to the detection of brittle fracture of welded beam-column connections in steelmoment-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-correlationmethod 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 bythe original brittle fracture event, where the event is not known to have occurred with certainty and theresulting damage may not be visible. An experimental study is conducted to provide insight intoapplying the method to a building. A tap test is performed on a small-scale steel frame to test whethercross-correlation techniques and catalogued Green’s function templates can be used to identify theoccurrence and location of an assumed-unknown event. Results support the idea of using anondestructive force to characterize the building response to high-frequency dynamic failure such asweld fracture." @default.
- W2336692576 created "2016-06-24" @default.
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- W2336692576 date "2011-01-01" @default.
- W2336692576 modified "2023-09-27" @default.
- W2336692576 title "A damage detection method for instrumented civil structures using prerecorded Green’s functions and cross-correlation" @default.
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