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Research on damage and identification of mortise-tenon joints stiffness in ancient wooden buildings based on shaking table test

  • Xue, Jianyang (Department of Civil Engineering, Xi'an University of Architecture and Technology) ;
  • Bai, Fuyu (Department of Civil Engineering, Xi'an University of Architecture and Technology) ;
  • Qi, Liangjie (Department of Civil Engineering, Xi'an University of Architecture and Technology) ;
  • Sui, Yan (Department of Civil Engineering, Xi'an University of Architecture and Technology) ;
  • Zhou, Chaofeng (Department of Civil Engineering, Xi'an University of Architecture and Technology)
  • 투고 : 2017.04.01
  • 심사 : 2018.01.01
  • 발행 : 2018.03.10

초록

Based on the shaking table tests of a 1:3.52 scale one-bay and one-story ancient wooden structure, a simplified structural mechanics model was established, and the structural state equation and observation equation were deduced. Under the action of seismic waves, the damage rule of initial stiffness and yield stiffness of the joint was obtained. The force hammer percussion test and finite element calculations were carried out, and the structural response was obtained. Considering the 5% noise disturbance in the laboratory environment, the stiffness parameters of the mortise-tenon joint were identified by the partial least squares of singular value decomposition (PLS-SVD) and the Extended Kalman filter (EKF) method. The results show that dynamic and static cohesion method, PLS-SVD, and EKF method can be used to identify the damage degree of structures, and the stiffness of the mortise-tenon joints under strong earthquakes is reduced step by step. Using the proposed model, the identified error of the initial stiffness is about 0.58%-1.28%, and the error of the yield stiffness is about 0.44%-1.21%. This method has high accuracy and good applicability for identifying the initial stiffness and yield stiffness of the joints. The identification method and research results can provide a reference for monitoring and evaluating actual engineering structures.

키워드

과제정보

연구 과제 주관 기관 : National Natural Science Foundation of China

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