Inverse Problem and Analysis of Frame Structures
The structural system identification analysis of 3-story frame model was performed by filtering algorithms as a frame work of inverse problem. As an inverse analysis procedure, filtering algorithms based on the Wiener filter (WF), the projection filter (PF) and parametric projection filter (PPF) have been employed to detect the structural damage defined by the reduction of stiffness of frame model. Among of these filters, it was cleared that parametric projection filter (PPF) is available as inverse analysis procedure. The parametric projection filter include the parameter γto be regularized the filtering process. In this study, as a new treatment of the above parametric projection filter, the procedure to give the regularization parameter computationally in filtering step is presented instead of an arbitrary value as shown in figure1(Variable Parametric Projection Filter:VPPF).z0=z(initial estimation)m(z0) A0(z0=A0m(z0))(Linear mapping)B0=A0 z1=z0+A0y0-m(zo)=Aoyo(the first approzimation of estimation vector)m(z1)A1(z1=A1m(a=(z1))B1=A1 z2=z1+A1y1-m(z1)=A1y1(the second approximation of estimation vector)…zn+1=zn+Anyn-m(zn)=Anyn(the nth approximation of estimation vector)Figure1 Flow of Variable Parametric Projection Filter:VPPF.Characteristics and effectiveness of proposed VPPF are shown through the structural system identification analysis of 3-story frame model.
R.Endo N.Tosaka
Department of Architectural System Engineering,Polytechnic University,Kanagawa,Japan Department of Architecture,Tokyo Denki University,Tokyo,Japan
国际会议
南京
英文
1
2009-10-18（万方平台首次上网日期，不代表论文的发表时间）