巨子有控结构体系非线性地震响应的半主动控制

Semi-active control of nonlinear seismic response for MSCSS

巨子有控结构体系(MSCSS)是一种具有自控能力的新型结构体系。本研究将磁流变(MR)阻尼器与MSCSS的工作机理相结合,采用模糊神经网络建立MR阻尼器的控制规则,利用遗传算法对模糊神经网络结构进行优化,在考虑构件发生非线性变形的情况下,研究了不同场地地震作用时的MSCSS非线性振动响应控制效果。通过与被动控制工况和以LQR算法为基础的半主动控制工况进行时域、频域范围内的对比研究,结果表明本文设计的模糊神经网络算法可以有效减小MSCSS的地震响应,并且在结构构件进入非线性状态以后仍然保持良好的稳定性,大大提高了结构的抗震性能。

Mega-Sub Controlled Structural System, MSCSS for short, is a new form of the tall building systems with self-control ability. This research combines Magneto-Rheological （MR） Damper with structure tectonic mechanism of MSCSS, and presents the application of MR dampers in nonlinear vibration control of MSCSS subjected to severe earthquake excitation. The semi-active control rules of MR dampers were designed by using fuzzy neural network, and the genetic algorithm was applied to optimize the rules of fuzzy neural network by taking the displacement and acceleration of the top floor as optimizing objective. By contrast with the vibration control effect of MSCSS with passive control and semi-active control based on LQR algorithm in time domain and frequency domain, we can conclude that the MR dampers with fuzzy neural network proposed in this paper can significantly reduce the seismic response of MSCSS, even when the structural element into nonlinear state, fuzzy neural network can still keep good vibration control effect, it greatly improve the seismic performance of MSCSS.