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DECENTRALIZED SEMI-ACTIVE CONTROL FOR MULTI- PERFORMANCE-BASED DESIGN

机译:分散的半主动控制,用于基于多性能的设计

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Traditional performance-based design (PBD) that has a single performance level has been widely researched by changing section sizes of structural members or material properties to resist single hazard levels. However, this approach has limitations in terms of achieving performance and alternative design options for the owner. To overcome these limitations of the traditional PBD method, a multi-performance-based control design (MPBCD) methodology is newly proposed. The MPBCD integrates a decentralized semi-active control algorithm with semi-active smart damping devices and an advanced multi-objective optimization method. The multi-objective optimization is used to achieve various sets of performance-based control designs. The control designs satisfy multiple performance levels under multiple hazard levels without changing cross-section sizes or material properties of structural members. This MPBCD provides multiple sets of control designs (i.e., control device layouts with control design variables) to minimize design costs and maximize control effectiveness. The multiple sets of designs offer optimal performance-based control design covering a broad range of hazard levels with various performance levels. This numerical study uses an advanced decentralized semi-active controller and large-scale 200-kN magnetorheological (MR) dampers installed in a nine-story moment-resisting frame (MRF) building. From the multi-objective optimization technique, multiple layouts of control devices and controller parameters for multiple performance levels under multiple hazard levels are investigated.
机译:具有单一性能水平的传统基于性能的设计(PBD)已通过更改结构构件的截面尺寸或材料属性以抵抗单一危害水平而得到广泛研究。但是,这种方法在实现性能和所有者的替代设计选项方面有局限性。为了克服传统PBD方法的这些限制,新提出了一种基于多性能的控制设计(MPBCD)方法。 MPBCD将分散的半主动控制算法与半主动智能阻尼设备集成在一起,并集成了先进的多目标优化方法。多目标优化用于实现各种基于性能的控制设计集。该控制设计可在多种危险等级下满足多种性能等级,而无需更改横截面尺寸或结构构件的材料特性。该MPBCD提供了多组控制设计(即具有控制设计变量的控制设备布局),以最大程度地降低设计成本并最大化控制有效性。多套设计提供了基于性能的最佳控制设计,涵盖了具有各种性能水平的多种危险等级。这项数值研究使用了先进的分散式半主动控制器和大型200 kN磁流变(MR)阻尼器,该阻尼器安装在9层抗弯框架(MRF)建筑物中。从多目标优化技术出发,研究了在多种危险等级下针对多种性能等级的控制设备和控制器参数的多种布局。

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