Paper
13 June 2001 Studies on structural monitoring of offshore jacket platforms
V. G. Idichandy, Lalu Mangal
Author Affiliations +
Proceedings Volume 4317, Second International Conference on Experimental Mechanics; (2001) https://doi.org/10.1117/12.429631
Event: Second International Conference on Experimental Mechanics, 2000, Singapore, Singapore
Abstract
The paper describes a series of analytical and physical model studies conducted to develop an online monitoring system for offshore platforms. An actual offshore jacket platform situated in a water depth of 88m was selected for the study. A detailed 3D finite element analysis of the platform involving free and forced vibration revealed that there were dynamic characteristics of the platform which could be used to identify the structural damages in the structure. Having established the feasibility of the method, further work was carried out on a physical model of the platform. Dynamic characteristics of the model were determined by spectral analysis of the response data, simulating various changes including compete and partial damages on individuals elements of the model. Simultaneously work was also initiated to apply the result of the physical model tests for interpreting the causes of the changes in the dynamic characteristics using ANN trained with the database created through experiments and analysis. The final outcome of these comprehensive studies was a scheme for integrity monitoring of jacket type of fixed offshore platforms using vibration characteristics of the structure.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
V. G. Idichandy and Lalu Mangal "Studies on structural monitoring of offshore jacket platforms", Proc. SPIE 4317, Second International Conference on Experimental Mechanics, (13 June 2001); https://doi.org/10.1117/12.429631
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KEYWORDS
Data acquisition

Data modeling

Finite element methods

Neural networks

3D modeling

Computing systems

Structural monitoring

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