改进贝叶斯谱密度法及其在超高层结构振动模态参数识别中的应用

发布时间：2018-05-21 17:38

本文选题：超高层建筑 + 现场实测　；参考：《建筑结构学报》2016年12期

【摘要】：基于白噪声激励的贝叶斯谱密度识别方法,可在识别出结构模态参数的同时,对识别结果的不确定性进行评估。在贝叶斯谱密度法(BSDA)的基础上,进一步提出适合有色噪声激励的改进参数识别方法(MBSDA),并对参数已知的合成信号进行参数识别。通过两种方法识别出的阻尼比、荷载等主要参数指标的对比表明,MBSDA比BSDA有较高的准确性。对位于深圳市高280 m的超高层建筑在近5年4次台风作用下的加速度响应时程进行参数识别,并评估结果的不确定性。结果表明:采用MBSDA和BSDA对结构频率进行识别,二者结果基本一致,但前者识别得到的模态阻尼比略高于后者;由4次台风作用下的加速度响应识别得到的阻尼比和结构振动加速度均方根之间不存在明显的统计相关性,所测超高层建筑的平均阻尼比为1.02%。
[Abstract]:The Bayesian spectral density recognition method based on white noise excitation can identify the structural modal parameters and evaluate the uncertainty of the identification results. On the basis of Bayesian spectral density method (BSDA), an improved parameter identification method suitable for colored noise excitation is proposed, and the parameters of synthetic signals with known parameters are identified. The comparison of the main parameters such as damping ratio and load between the two methods shows that MBSDA is more accurate than BSDA. The acceleration response time history of a 280m tall building in Shenzhen under the action of four typhoons in recent five years was identified and the uncertainty of the results was evaluated. The results show that MBSDA and BSDA are used to identify the structural frequencies, and the results are basically the same, but the modal damping ratio of the former is slightly higher than that of the latter. There is no obvious statistical correlation between the damping ratio and the root mean square of the structural vibration acceleration obtained from the acceleration response of the four typhoons, and the average damping ratio of the super-tall buildings measured is 1.022.
【作者单位】：华南理工大学亚热带建筑科学国家重点实验室;
【基金】：国家自然科学基金项目(51278204)
【分类号】：TU973.3;TU317

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