Model-based structural health monitoring of naval ship hulls

Christopher J. Stull; Christopher J. Earls; Phaedon-Stelios Koutsourelakis; Phadeon-Stelios Koutsourelakis

doi:10.1016/j.cma.2010.11.018

Model-based structural health monitoring of naval ship hulls

Christopher J. Stull, Christopher J. Earls, Phaedon-Stelios Koutsourelakis, Phadeon-Stelios Koutsourelakis

Research output: Contribution to journal › Article › peer-review

47 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	1137-1149
Number of pages	13
Journal	Computer Methods in Applied Mechanics and Engineering
Volume	200
Issue number	9-12
DOIs	https://doi.org/10.1016/j.cma.2010.11.018
Publication status	Published - 1 Feb 2011

Keywords

Structural health monitoring
Naval ship hulls
Stochastic search methods
FIBER-OPTIC SENSORS
DAMAGE IDENTIFICATION
BAYESIAN-ANALYSIS
INVERSE PROBLEMS
UNCERTAINTY
SYSTEMS
JOINTS
PARAMETERS
ELEMENT

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10.1016/j.cma.2010.11.018

Cite this

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title = "Model-based structural health monitoring of naval ship hulls",

abstract = "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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doi = "10.1016/j.cma.2010.11.018",

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AU - Stull, Christopher J.

AU - Earls, Christopher J.

AU - Koutsourelakis, Phaedon-Stelios

AU - Koutsourelakis, Phadeon-Stelios

PY - 2011/2/1

Y1 - 2011/2/1

N2 - 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.

AB - 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.

KW - Structural health monitoring

KW - Naval ship hulls

KW - Stochastic search methods

KW - FIBER-OPTIC SENSORS

KW - DAMAGE IDENTIFICATION

KW - BAYESIAN-ANALYSIS

KW - INVERSE PROBLEMS

KW - UNCERTAINTY

KW - SYSTEMS

KW - JOINTS

KW - PARAMETERS

KW - ELEMENT

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DO - 10.1016/j.cma.2010.11.018

M3 - Article

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EP - 1149

JO - Computer Methods in Applied Mechanics and Engineering

JF - Computer Methods in Applied Mechanics and Engineering

IS - 9-12

ER -

Model-based structural health monitoring of naval ship hulls

Abstract

Keywords

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