基于主动控制的并联基础隔震体系隔震层参数优选

Optimal parameters in R-FBI system based on active control

提出了一种基于主动控制算法优选双线性并联基础隔震体系隔震层参数的方法。该方法是把并联基础隔震体系隔震层替换为主动控制作动器和只具有纯刚度的橡胶垫,利用主动控制算法——线性二次型经典最优控制算法计算主动最优控制力,求出受控结构隔震层处的层间刚度和层间阻尼比;并使并联基础隔震体系隔震层的等效刚度和等效阻尼比在数值上与之对应相等,利用双线性滞回曲线模型即可推导出隔震层的2个参数(回复刚度和屈服剪力系数)。为了验证该方法,对一工程实例进行了仿真分析,结果表明,该方法是可行的。

A method to optimize parameters of base layer of bilinear resilient -friction base isolation （R-FBI） system was proposed on the basis of the active control algorithm. With this method, in a R-FBI system base layer are replaced with active control actuator and rubber pad which only posses stiffness, and an active control algorithm, the linear quadratic regulator （ LQR）, is used to obtain the optimal active control force, solve for the interlayer stiffness and damping ratio on base layer of controlled structure, and let the equivalent stiffness and equivalent damping ratio on base layer of R-FBI system equal to them. In addition, two parameters of base layer （recovery stiffness and yield-shearing force coefficient ） are deduced by using the model of bilinear hysteresis loop. An engineering example was analyzed numerically to verify the validity of the proposed method.