Identification of flutter derivatives is an attractive topic in the field of wind-resistance study of long-span Bridges.
气动导数识别是大跨度桥梁抗风研究中备受关注的一个问题。
The identification of flutter derivatives for bridge sectional model has long been a key issue in long-span bridge flutter and buffeting analysis.
长期以来，桥梁断面颤振导数的识别都是大跨度桥梁颤抖振响应分析中的重点和难点问题。
The identification reliability of flutter derivatives can be improved by introducing two or more data processing methods.
采用两种或多种数据处理方法，可以提高颤振导数识别结果的可信度。
In this paper, the flutter derivatives of a thin plate model under the simultaneous actions of wind and rain are identified by using the Covariance-Driven Stochastic Subspace Identification method.
气动导数是大跨桥梁结构颤振和抖振分析中确定颤振临界风速和抖振响应的重要依据。
In this paper, the flutter derivatives of a thin plate model under the simultaneous actions of wind and rain are identified by using the Covariance-Driven Stochastic Subspace Identification method.
本文采用随机系统识别方法，在模拟的风雨共同作用条件下识别了薄平板模型的气动导数。
In this paper, the flutter derivatives of a thin plate model under the simultaneous actions of wind and rain are identified by using the Covariance-Driven Stochastic Subspace Identification method.
对薄平板二维节段模型做了颤振导数识别，颤振导数的计算结果与风洞试验值有很好的一致性。
In this paper, the flutter derivatives of a thin plate model under the simultaneous actions of wind and rain are identified by using the Covariance-Driven Stochastic Subspace Identification method.
对薄平板二维节段模型做了颤振导数识别，颤振导数的计算结果与风洞试验值有很好的一致性。
应用推荐