Modal parameter identification of bridge structures based on an improved deterministie-stochastic subspace identification method
CHEN Yonggao1, ZHONG Zhenyu1,2, HE Jie3
1.School of Civil Engineering and Architecture, Zhejiang Industry Polytechnic College,Shaoxing 312000,China;
2.College of Civil Engineering and Architecture,Zhejiang University,Hangzhou 310058,China;
3.China Railway EryuanEngineering Group Co.,Ltd.,Chengdu 610031,China
Abstract：In order to realize the intelligent online tracking and identification of bridge structural modal parameters, a novel time-domain identification method based on a sliding window-fuzzy C-means algorithm combined with the deterministic-stochastic subspace identification (SC-CDSI) method was proposed.The input and output signals of the bridge structure were divided into separate windows,then the determination standards of window function, window length and step length were analyzed.The frequency, damping ratio and mode shape were used as the clustering elements of the fuzzy C-means clustering algorithm to complete the intelligent identification of effective modes in the stability diagram.A shaking-table test bridge model was used as a parameter identification object, and its results were compared with the MIDAS finite element results.The results indicate that the proposed SC-CDSI method can precisely realize the intelligent online tracking and identification of the frequency of bridge structures and its identification result exhibits higher stability and reliability.
陈永高1，钟振宇1,2，何杰3. 基于改进确定-随机子空间算法的桥梁结构模态参数识别[J]. 振动与冲击, 2021, 40(2): 220-227.
CHEN Yonggao1, ZHONG Zhenyu1,2, HE Jie3. Modal parameter identification of bridge structures based on an improved deterministie-stochastic subspace identification method. JOURNAL OF VIBRATION AND SHOCK, 2021, 40(2): 220-227.
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