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Developing a smart structure using integrated DDA/ISMP and semi-active variable stiffness device

机译:使用集成的DDA / ISMP和半主动可变刚度设备开发智能结构

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Recent studies integrating vibration control and structural health monitoring (SHM) use control devices and control algorithms to enable system identification and damage detection. In this study real-time SHM is used to enhance structural vibration control and reduce damage. A newly proposed control algorithm, including integrated real-time SHM and semi-active control strategy, is presented to mitigate both damage and seismic response of the main structure under strong seismic ground motion. The semi-active independently variable stiffness (SAIVS) device is used as semi-active control device in this investigation. The proper stiffness of SAWS device is obtained using a new developed semi-active control algorithm based on real-time damage tracking of structure by damage detection algorithm based on identified system Markov parameters (DDA/ISMP) method. A three bay five story steel braced frame structure, which is equipped with one SAWS device at each story, is employed to illustrate the efficiency of the proposed algorithm. The obtained results show that the proposed control algorithm could significantly decrease damage in most parts of the structure. Also, the dynamic response of the structure is effectively reduced by using the proposed control algorithm during four strong earthquakes. In comparison to passive on and off cases, the results demonstrate that the performance of the proposed control algorithm in decreasing both damage and dynamic responses of structure is significantly enhanced than the passive cases. Furthermore, from the energy consumption point of view the maximum and the cumulative control force in the proposed control algorithm is less than the passive-on case, considerably.
机译:结合振动控制和结构健康监测(SHM)的最新研究使用控制设备和控制算法来实现系统识别和损坏检测。在这项研究中,实时SHM用于增强结构振动控制并减少损坏。提出了一种新的控制算法,该算法包括集成的实时SHM和半主动控制策略,以减轻强结构地震作用下主体结构的损伤和地震响应。半主动独立变刚度(SAIVS)装置在本研究中用作半主动控制装置。使用新开发的半主动控制算法,基于结构的实时损伤跟踪,通过基于识别的系统马尔可夫参数(DDA / ISMP)方法的损伤检测算法,获得了SAWS设备的适当刚度。采用三层五层钢支撑框架结构,每个层均配备一个SAWS装置,以说明该算法的效率。获得的结果表明,所提出的控制算法可以显着减少结构大部分部位的损坏。此外,通过使用所提出的控制算法,在四次强地震中,可有效降低结构的动力响应。与被动开启和关闭情况相比,结果表明,所提出的控制算法在降低结构的损伤和动态响应方面的性能均明显高于被动情况。此外,从能耗的角度来看,所提出的控制算法中的最大控制力和累积控制力明显小于被动开启的情况。

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