IDENTIFICATION OF NONLINEAR RESTORING FORCE BY USING POWER SERIES POLYNOMIAL MODELING
The development of techniques for identification and updating of nonlinear mechanical structures has received increasing attention in recent years. In this paper,the nonlinear restoring force (NRF) was estimated by using power series polynomial modeling and each coefficient of the polynomial was identified by means of standard least-square techniques. No information of the system was needed and only the applied excitation and the corresponding response time series were used to implement the procedure. Two different cases,which the system is under complete and incomplete excitations,were taken into consideration. The feasibility and robustness of the proposed approach was illustrated via an experiment with a 4-story steel frame building model equipped with two actively-controlled magneto-rheological (MR) dampers which were employed to simulate nonlinear performance. Results show that the proposed databased approach is capable of identifying the nonlinear behavior of engineering structures and can be used to evaluate the damage initiation and development of different structure under dynamic loads.
Nonlinear restoring force System identification Power series polynomial Time series MR damper Least-square techniques
Jia He Bin Xu S.F. Masri
College of Civil Engineering,Hunan University,Changsha,410082,Hunan,P.R. China College of Civil Engineering,Hunan University,Changsha,410082,Hunan,P.R. China Key Laboratory of Bui College of Civil Engineering,Hunan University,Changsha,410082,Hunan,P.R. China Department of Civil E
国际会议
The Eleventh International Symposium on Structural Engineering(第十一届结构工程国际研讨会)
广州
英文
1362-1368
2010-12-01（万方平台首次上网日期，不代表论文的发表时间）