Proceedings of the Korean Society for Noise and Vibration Engineering Conference (한국소음진동공학회:학술대회논문집)
- 2007.05a
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- Pages.588-593
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- 2007
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- 1598-2548(pISSN)
System Identification for Analysis Model Upgrading of FRP Decks
FRP 바닥판의 해석모델개선을 위한 System Identification 기법
Abstract
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.
Keywords
- fiber reinforced polymer (FRP);
- finite element model (FEM);
- neural networks (NN);
- support vector machines (SVM);
- system identification (SI)