Record Details

Integrity monitoring of offshore platforms using artificial neural nets

DSpace at IIT Bombay

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Field Value
 
Title Integrity monitoring of offshore platforms using artificial neural nets
 
Creator BANERJI, P
DATTA, TK
 
Subject ann
monitoring
maintenance
integrity
damage
jacket platform
offshore
 
Description 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.
 
Publisher INTERNATIONAL SOCIETY OFFSHORE& POLAR ENGINEERS
 
Date 2011-10-27T11:37:18Z
2011-12-15T09:12:35Z
2011-10-27T11:37:18Z
2011-12-15T09:12:35Z
1997
 
Type Proceedings Paper
 
Identifier PROCEEDINGS OF THE SEVENTH (1997) INTERNATIONAL OFFSHORE AND POLAR ENGINEERING CONFERENCE, VOL IV, 1997,439-444
1-880653-32-X
http://dspace.library.iitb.ac.in/xmlui/handle/10054/16285
http://hdl.handle.net/100/2762
 
Source 7th International Offshore and Polar Engineering Conference (ISOPE-97),HONOLULU, HI,MAY 25-30, 1997
 
Language English