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Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/100/2762

Title: Integrity monitoring of offshore platforms using artificial neural nets
Authors: BANERJI, P
DATTA, TK
Issue Date: 1997
Publisher: INTERNATIONAL SOCIETY OFFSHORE& POLAR ENGINEERS
Citation: PROCEEDINGS OF THE SEVENTH (1997) INTERNATIONAL OFFSHORE AND POLAR ENGINEERING CONFERENCE, VOL IV, 1997,439-444
Abstract: This paper explores the possibility of using artificial neural Nets (ANNs) for monitoring the integrity of offshore structures. The methodology consists of comparing measured rms displacement responses at different elevations of an offshore structure, for a given sea state, with a datum set, obtained using a number of trained feedforward ANNs. Each ANN, given the significant wave height and average wave time period that characterise a sea state, provides structure response estimates for a pre-defined damage state. These estimated responses are suitably sealed to generate the datum set. If the measured response pattern does not match the undamaged state ANN response pattern, the structure is damaged. The region of damage is given by the damage state whose ANN response pattern matches the measured response pattern. In this paper analytically determined rms displacements from a simulation study are used, instead of measured displacements from the platform structure, to train the ANNs.
URI: http://dspace.library.iitb.ac.in/xmlui/handle/10054/16285
http://hdl.handle.net/100/2762
ISBN: 1-880653-32-X
Appears in Collections:Proceedings papers

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