| contributor author | Kaihui Zhong | |
| contributor author | C. C. Chang | |
| date accessioned | 2017-12-16T09:15:25Z | |
| date available | 2017-12-16T09:15:25Z | |
| date issued | 2016 | |
| identifier other | %28ASCE%29EM.1943-7889.0001156.pdf | |
| identifier uri | http://138.201.223.254:8080/yetl1/handle/yetl/4240583 | |
| description abstract | Subspace identification techniques are a popular parametric time-domain method for extracting modal parameters of a structure under ambient condition. These techniques can simultaneously process a large quantity of data and potentially extract the most information from the measurement. Most of the developed subspace identification techniques, however, assume white-noise input, and hence cannot be used for structures under earthquake excitation. In this study, an input–output recursive combined subspace identification technique is proposed for tracking modal parameters of a time-varying structure under nonstationary earthquake excitation. The technique incorporates an orthogonal projection and an instrumental variable approach to eliminate the effect of earthquake input and measurement noise, respectively. A bi-iteration subspace tracker is then applied to extract step by step the structural modal parameters. The proposed technique is validated numerically on a four-degree-of-freedom structure and experimentally on a three-degree-of-freedom building model. Both numerical and experimental results show that the proposed technique can track structural modal parameters under nonstationary earthquake excitation quite well. | |
| publisher | American Society of Civil Engineers | |
| title | Recursive Combined Subspace Identification Technique for Tracking Dynamic Characteristics of Structures under Earthquake Excitation | |
| type | Journal Paper | |
| journal volume | 142 | |
| journal issue | 12 | |
| journal title | Journal of Engineering Mechanics | |
| identifier doi | 10.1061/(ASCE)EM.1943-7889.0001156 | |
| tree | Journal of Engineering Mechanics:;2016:;Volume ( 142 ):;issue: 012 | |
| contenttype | Fulltext | |