The lifetime of offshore structures are ruled by accumulated fatigue damage so structural load monitoring is of special importance for re-assessment of offshore platforms. However, direct measuring of the actual loading is usually not feasible due to sensor limitations. An alternative approach to direct load measuring is load estimation from the limited number of measurements of dynamic responses of the structure. This paper presents two, conceptually different, model based, methods for load estimation in time domain: modal expansion method and Kalman filter based method. The Kalman filter based method uses the reduced FEM and provides estimations of limited number of signals, where the modal expansion method expands the mode shape vectors to estimate the displacements and stresses at all unmeasured locations. This paper is a part of ongoing development of methods for linear and nonlinear system identification, FEM updating, wave load calibration and lifetime prediction of offshore structures.
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ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering
June 8–13, 2014
San Francisco, California, USA
Conference Sponsors:
- Ocean, Offshore and Arctic Engineering Division
ISBN:
978-0-7918-4543-1
PROCEEDINGS PAPER
Cost-Effective Load Monitoring Methods for Fatigue Life Estimation of Offshore Platform
Nevena Perišić,
Nevena Perišić
Ramboll Oil & Gas, Esbjerg, Denmark
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Ulf T. Tygesen
Ulf T. Tygesen
Ramboll Oil & Gas, Esbjerg, Denmark
Search for other works by this author on:
Nevena Perišić
Ramboll Oil & Gas, Esbjerg, Denmark
Ulf T. Tygesen
Ramboll Oil & Gas, Esbjerg, Denmark
Paper No:
OMAE2014-23865, V04BT02A005; 9 pages
Published Online:
October 1, 2014
Citation
Perišić, N, & Tygesen, UT. "Cost-Effective Load Monitoring Methods for Fatigue Life Estimation of Offshore Platform." Proceedings of the ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering. Volume 4B: Structures, Safety and Reliability. San Francisco, California, USA. June 8–13, 2014. V04BT02A005. ASME. https://doi.org/10.1115/OMAE2014-23865
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