@article {IOPORT.05973104,
    author       = {Stull, Christopher J. and Earls, Christopher J. and Koutsourelakis, Phaedon-Stelios},
    title        = {Model-based structural health monitoring of naval ship hulls.},
    year         = {2011},
    journal      = {Computer Methods in Applied Mechanics and Engineering},
    volume       = {200},
    number       = {9-12},
    issn         = {0045-7825},
    pages        = {1137-1149},
    publisher    = {Elsevier Science S. A.( North-Holland), Amsterdam},
    doi          = {10.1016/j.cma.2010.11.018},
    abstract     = {Summary: 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.},
    identifier   = {05973104},
}