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Input force identification: Application to soil–pile interaction
Author(s) -
Wu AiLun,
Loh ChinHsiung,
Yang Jann N.,
Weng JianHuang,
Chen ChiaHan,
Ueng TzouShin
Publication year - 2009
Publication title -
structural control and health monitoring
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.587
H-Index - 62
eISSN - 1545-2263
pISSN - 1545-2255
DOI - 10.1002/stc.308
Subject(s) - kalman filter , earthquake shaking table , computation , pile , residual , system identification , identification (biology) , control theory (sociology) , matrix (chemical analysis) , estimator , vibration , engineering , filter (signal processing) , computer science , structural engineering , mathematics , algorithm , acoustics , physics , electrical engineering , statistics , botany , materials science , control (management) , software engineering , artificial intelligence , data modeling , composite material , biology
An identification method for estimating the time varying excitation force acting on a structural system based on its response measurements is presented in this study. The method employs the simple Kalman filter to establish a regression model between the residual innovation and the input excitation forces. In applying the method, first, the ambient vibration measurement of a structural system is collected, then the stochastic subspace identification is applied to estimate the system matrix ‘ A ’ and the measurement matrix ‘ H ’. Incorporated with the identified ‘ A ’ and ‘ H ’ matrices the dynamic excitation forces are estimated from the measured structural responses by using Kalman filter with a recursive least‐square estimator to update the estimation in the sense of real‐time computation. Verification of the method on numerical simulation through MIMO system is conducted first. Identification of soil forces during the shaking table test of soil–pile interaction is also demonstrated. Copyright © 2008 John Wiley & Sons, Ltd.