Active Control of Offshore Structures for Wave Response Reduction Using Probabilistic Neural Network

  • Kim, Doo-Kie (Department of Civil and Environmental Engineering, Kunsan National University) ;
  • Kim, Dong-Hyawn (Department of Ocean System Engineering, Kunsan National University) ;
  • Chang, Sang-Kil (Department of Civil and Environmental Engineering, Kunsan National University) ;
  • Chang, Seong-Kyu (Department of Civil and Environmental Engineering, Kunsan National University)
  • ;
  • ;
  • ;
  • 장성규 (군산대학교 토목환경공학과)
  • Published : 2006.10.31

Abstract

Offshore structures are subjected to wave, wind, and earthquake loads. The failure of offshore structures can cause sea pollution, as well as losses of property and lives. Therefore, safety of the structure is an important issue. The reduction of the dynamic response of offshore towers, subjected wind generated random ocean waves, is a critical problem with respect to serviceability, fatigue life and safety of the structure. In this paper, a structural control method is proposed to control the vibration of offshore structures by the probabilistic neural network (PNN). The state vectors of the structure and control forces are used for training patterns of the PNN, in which control forces are prepared by linear quadratic regulator (LQR) control algorithm. The proposed algorithm is applied to a fixed offshore structure under random ocean waves. Active control of the fixed offshore structure using the PNN control algorithm shows good results.

Keywords

References

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