Optimal Stiffness Estimation of Composite Decks Model using System Identification

System Identification 기법을 이용한 복합소재 바닥판 해석모델의 최적강성추정

  • 서형열 (국립군산대학교 토목환경공학부) ;
  • 김두기 (국립군산대학교 토목환경공학부) ;
  • 김동현 (국립군산대학교 해양시스템공학과) ;
  • 취진타오 (국립군산대학교 토목환경공학부) ;
  • 박기태 (한국건설기술연구원 구조연구부)
  • Published : 2007.04.12


Fiber reinforced polymer(FRP) composite decks are new to bridge applications and hence not much literature exists on their structural mechanical behavior. As there are many differences between numerical displacements through static analysis of the primary model and experimental displacements through static load tests, system identification (SI)techniques such as Neural Networks (NN) and support vector machines (SVM) utilized in the optimization of the FE model. During the process of identification, displacements were used as input while stiffness as outputs. Through the comparison of numerical displacements after SI and experimental displacements, it can note that NN and SVM would be effective SI methods in modeling an FRP deck. Moreover, two methods such as response surface method and iteration were proposed to optimize the estimated stiffness. Finally, the results were compared through the mean square error (MSE) of the differences between numerical displacements and experimental displacements at 6 points.