Theoretical Model and Numerical Method on Online Identification of Dynamical Characteristics of Structural System
-
摘要: 环境自然激励作用下的大型结构动力特性在线识别方法受到广泛的关注,这个方法仅仅利用结构自然响应的被测试数据,识别结构动力特性.Ibrahim方法和ARMAV方法是基本的识别方法.该文研究了受随机激励作用动力学模型,给出了有别于传统谐波恢复的子空间分解识别方法.数值仿真结果表明,该方法对结构振动特性的识别具有较好的鲁棒性和较高的计算精度.Abstract: An online method of identification of dynamic characteristics only using measured ambient response of structural dynamic system is widely focused on. The Ibrahim and ARMAV methods are basic identification methods. A model on dynamic system suffered by random ambient excitation was researched into, and a subspace decomposition method being different from traditional harmonic retrieval method was introduced. Robustness and effectiveness of this approach on identification of vibration characteristics are demonstrated on numerical experiment.
-
Key words:
- modal identification /
- system identification /
- structure dynamic system
-
[1] UENG Jin-min,LIN Chi-chang,LIN Pao-lung.System identification of torsionally coupled buildings[J].Computers and Structures,2000,74:667—686. doi: 10.1016/S0045-7949(99)00073-5 [2] Huang C S.Structural identification from ambient vibration measurement using the multivariate AR model[J].Journal of Sound and Vibration,2000,241(3):337—359. [3] Schmidt R O.A signal subspace approach to multiple emitter location and spectral estimation[D].Ph D thesis.Palo Alto:Stanford University,1981. [4] Stoica Petre,Nordsj Anders E.Subspace-based frequency estimation in the presence of moving-average noise using decimation[J].Signal Processing,1997,63:211—220. doi: 10.1016/S0165-1684(97)00157-6 [5] Gershman Alex B,Stoica Petre.New MODE-based techniques for direction finding with an improved threshold performance[J].Signal Processing,1999,76:221—235. doi: 10.1016/S0165-1684(99)00011-0 [6] Kristensson Martin,Jansson Maghus,Ottersten Bjrn.Modified IQML and weighted subspace fitting without eigendecomposition[J].Signal Processing,1999,79:29—44. doi: 10.1016/S0165-1684(99)00078-X
计量
- 文章访问数: 2373
- HTML全文浏览量: 156
- PDF下载量: 685
- 被引次数: 0