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机构地区:[1]中国空气动力研究与发展中心,四川绵阳621000 [2]四川建筑职业技术学院,四川德阳618000
出 处:《实验流体力学》2009年第1期85-88,共4页Journal of Experiments in Fluid Mechanics
基 金:国家杰出青年科学基金项目(10425207);部委级基金项目
摘 要:在节段模型自由振动法识别桥梁气动导数风洞试验中,采用LSCE识别方法,无需迭代和设定初始值而实现整体识别。对具有理论解的理想平板气动导数进行识别仿真研究,结果表明:对不含噪声信号识别结果与理论解完全一致,对含有20%噪声的低信噪比信号识别除了A4*以外也都有较好的一致性,表明LSCE方法具有较高的识别精度和良好的抗噪声性能。风洞试验研究结果进一步证明了该方法具有较好的识别效果。In the process of aerodynamic derivatives' identification for bridge sections based on free-todecay vibration wind tunnel test, a LSCE method is introduced, which identifies aerodynamic derivatives integrally without iterations or initial values needed Through simulation of aerodynamic derivatives' identification for ideal fiat model with that method, it's indicated that aerodynamic derivatives identified are completely consistent with theoretical solutions for noise-free signals, and also satisfying for signals with 20 % noise included except for identification of A4^* . The simulation demonstrates that LSCE has high precision and good anti-noise performance. Furthermore, wind tunnel test results also verify that the method is quite effective.
分 类 号:V211.73[航空宇航科学与技术—航空宇航推进理论与工程]
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