Sequential detection of progressive damage

Mark Mollineaux; Ram Rajagopal

doi:10.1117/12.2009887

19 April 2013 Sequential detection of progressive damage

Mark Mollineaux, Ram Rajagopal

Proceedings Volume 8692, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2013; 86920U (2013) https://doi.org/10.1117/12.2009887
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2013, San Diego, California, United States

Abstract

The multi-state progressive damage of a structure is introduced into the change point detection problem: a generalized Hidden Markov Model (HMM) with multiple states is developed. Applications to Structural Health Monitoring (SHM) are explored. Demonstrate development of suitable likelihood ratio for simple progressive damage case, as well as generalized to arbitrary HMM. Computational costs are limited by exploiting structure of this model, and further limited by “windowing” technique. Demonstrations of algorithm are shown, with use of multi-damage state response from a structural frame in a test site.

Citation Download Citation

Mark Mollineaux and Ram Rajagopal "Sequential detection of progressive damage", Proc. SPIE 8692, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2013, 86920U (19 April 2013); https://doi.org/10.1117/12.2009887

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