欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
为准确、有效地识别环境激励下斜拉桥的模态参数,选取目前较优的NExT-SSI与FRF-PolyMax 2种模态识别算法进行研究,并提出稳定图与功率谱峰值相结合的真假模态甄别方法。以一座单塔双索面斜拉桥为例验证识别算法和模态甄别方法的有效性,结果表明：NExT-SSI与FRF-PolyMax 2种识别算法均可较准确地获得环境激励下斜拉桥的模态参数,FRF-PolyMax法精度更高;所提出的稳定图与功率谱密度函数峰值相结合的模态甄别方法可弥补稳定图法的不足,识别的模态参数更加真实可靠。
英文摘要：
To accurately and effectively identify the modal parameters of cable-stayed bridges under the ambient excitation, two modal identification algorithms of the NExT-SSI and FRF-Poly- Max that have been well applied at present were selected and studied and the screening method for the true or false modes, using the combined stabilization diagram and power spectrum peak values, was proposed. A cable-stayed bridge with a single pylon and double cable planes was cited as an example and the effectiveness of the identification algorithms and the screening method was verified. The results demonstrate that both the identification algorithms of the NExT-SSI and FRF- PolyMax can accurately acquire the modal parameters of the cable-stayed bridges under the ambient excitation and the accuracy of the FRF-PolyMax algorithm is even higher. The proposed screening method using the combined stabilization diagram and power spectrum peak values can make up the deficiencies of the stabilization diagram method and the modal parameters identified by the screening method are even true and more reliable.Key words
同期刊论文项目
同项目期刊论文
期刊信息
位置：