Dynamic Parameter Identification for Irregular Buildings considering Soil-Structure Interaction Effects

The employment of system identification (SID) techniques to evaluate building dynamic parameters based on vibration measurements is a crucial topic and has been used for structural health monitoring and damage assessment after extreme events such as earthquakes. This study presents an input/output (I/O) selection concept to extract the dynamic parameters of an irregular building superstructure considering both torsional coupling (TC) and soil–structure interaction (SSI) effects. This concept was validated by implementing an SID technique, named System Realization using Information Matrix (SRIM), based on the numerically simulated floor and foundation responses. This approach was also applied to assess the change of dynamic properties of the superstructure of two instrumented buildings using measurements recorded before and after the 1999 Chi-Chi, Taiwan earthquake. It is shown that the decrease in value of the modal frequencies will be overestimated if the SSI effects are neglected.

[1]  Achintya Haldar,et al.  Element-level system identification with unknown input , 1994 .

[2]  R. Montes-Iturrizaga,et al.  Optimal instrumentation of structures on flexible base for system identification , 1999 .

[3]  N. C. Nigam.  Introduction to Random Vibrations , 1983 .

[4]  土岐 憲三,et al.  Identification of structural parameters and input ground motion from response time histories. , 1989 .

[5]  Jonathan P. Stewart,et al.  System identification for evaluating soil–structure interaction effects in buildings from strong motion recordings , 1998 .

[6]  G. De Roeck,et al.  System identification of mechanical structures by a high-order multivariate autoregressive model , 1997 .

[7]  Anil K. Chopra,et al.  Elastic Earthquake Analysis of a Class of Torsionally Coupled Buildings , 1977 .

[8]  S. T. Mau,et al.  Story-Drift, Shear, and OTM Estimation from Building Seismic Records , 1994 .

[9]  J. Enrique Luco,et al.  Soil-Structure Interaction and Identification of Structural Models , 1980 .

[10]  莊哲男.  Applied System Identification , 1994 .

[11]  Chi-Chang Lin,et al.  System identification of torsionally coupled buildings , 2000 .

[12]  R. Clough,et al.  Dynamics Of Structures , 1975 .

[13]  Chan Ghee Koh,et al.  A hybrid computational strategy for identification of structural parameters , 2003 .

[14]  Erdal S¸afak,et al.  Detection and Identification of Soil-Structure Interaction in Buildings from Vibration Recordings , 1995 .

[15]  J. M. Ueng,et al.  Parametric identification of asymmetric buildings from earthquake response records , 2005 .

[16]  Chi-Chang Lin,et al.  Systematic assessment of irregular building-soil interaction using efficient modal analysis , 2001 .

[17]  Lennart Ljung,et al.  System Identification: Theory for the User , 1987 .

[18]  Yi Li,et al.  A case study of mimo system identification applied to building seismic records , 1991 .

[19]  Hsin Wei Wu,et al.  On-line building damage assessment based on earthquake records , 2005, Smart Materials and Structures.

[20]  Tadanobu Sato,et al.  IDENTIFICATION OF STRUCTURAL PARAMETERS AND INPUT GROUND MOTION FROM RESPONSE TIME HISTORIES , 1989 .

[21]  Petre Stoica,et al.  Decentralized Control , 2018, The Control Systems Handbook.

[22]  Jonathan P. Stewart,et al.  Variations between Foundation-Level and Free-Field Earthquake Ground Motions , 2000 .

[23]  J. Juang.  System Realization Using Information Matrix , 1997 .

[24]  Carmelo Gentile,et al.  Two approaches to identify equivalent structural models from earthquake responses , 1993 .