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

Heckman, Vanessa and Kohler, Monica and Heaton, Thomas (2011) A damage detection method for instrumented civil structures using prerecorded Green’s functions and cross-correlation. In: Proceedings of 6th International Workshop on Advanced Smart Materials and Smart Structures Technology, ANCRiSST2011. . https://resolver.caltech.edu/CaltechAUTHORS:20160209-162933501

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Abstract

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.


Item Type:Book Section
ORCID:
AuthorORCID
Heaton, Thomas0000-0003-3363-2197
Additional Information:We would like to thank donors to the Hartley Fellowship and the Lin Lab for their support.
Funders:
Funding AgencyGrant Number
Fred L. Hartley Family FoundationUNSPECIFIED
Record Number:CaltechAUTHORS:20160209-162933501
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20160209-162933501
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:64357
Collection:CaltechAUTHORS
Deposited By: Monica Kohler
Deposited On:17 Feb 2016 19:28
Last Modified:03 Oct 2019 09:37

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