Journal
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
Volume 200, Issue 9-12, Pages 1137-1149Publisher
ELSEVIER SCIENCE SA
DOI: 10.1016/j.cma.2010.11.018
Keywords
Structural health monitoring; Naval ship hulls; Stochastic search methods
Funding
- Office of Naval Research, Division 331, Ship System and Engineering Research [N00014-07-1-0515, N00014-09-1-0310]
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The present paper reports on results from an ongoing research program at Cornell University aimed at employing model-based structural health monitoring techniques within new and existing naval hull structures. The techniques discussed involve the solution of inverse problems, formulated using both optimization-based and Bayesian approaches. The forward modeling capability is handled using a specially developed hull structural analysis tool, CU-BEN, while the solution of the inverse problem is handled using stochastic search methods that are part of a dedicated inverse solution algorithm toolbox, CU-PSST. Results from the application of these tools to problems of detecting section loss in hull plating due to corrosion, and isolating damaged framing due to an internal blast, are discussed. (C) 2010 Elsevier BM. All rights reserved.
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