论文部分内容阅读
利用抽取时间的快速傅里叶变换技术优化谐波叠加法,根据Davenport脉动风速谱,模拟了风速时程曲线,在生成的脉动风速谱密度曲线中,目标谱与模拟谱走势高度一致,为风振控制计算的精确性提供了有力保证。高层结构采用的是国际通用的第二代Benchmark模型,控制方法为调谐质量阻尼器(TMD)控制;并引入粒子群优化算法,以结构层绝对位移和的无穷范数为目标函数进行了优化研究;为考察此方法的鲁棒性,分别对结构考虑了无刚度不确定性以及具有±15%刚度不确定性的情形,数值计算结果表明了优化TMD控制在高层结构风振控制中的有效性,为人工智能技术在传统结构振动控制领域的应用提供了广阔的思路。
Harmonic superposition method is optimized by the fast Fourier transform of decimation time. According to Davenport pulsating wind speed spectrum, the time history curve of wind speed is simulated. In the spectrum density curve of pulsating wind speed generated, the target spectrum is highly consistent with that of the simulated spectrum, The accuracy of the vibration control calculation provides a strong guarantee. The high-rise structure adopts the second-generation Benchmark model which is commonly used in the world. The control method is controlled by the tuned mass damper (TMD). Particle swarm optimization algorithm is introduced to optimize the objective function with the infinite norm of the absolute displacement of structure layer In order to investigate the robustness of this method, we consider the stiffness-free uncertainties and the uncertainties of ± 15% stiffness for the structure respectively. The numerical results show that the TMD control is effective in wind-induced vibration control of high-rise structures , Which provides a broad idea for the application of artificial intelligence technology in the field of vibration control of traditional structures.