Optimization algorithms for composite beam as smart active control of structures using genetic algorithms

IF 2.1 3区 工程技术 Q2 ENGINEERING, CIVIL
Yan Cao, Y. Zandi, M. Gholizadeh, Leijie Fu, Jiang Du, Xueming Qian, Wang Zhijie, Á. Roco-Videla, A. Selmi, A. Issakhov
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引用次数: 2

Abstract

The principles of productive active and semi-active civil and infrastructure engineering structural control date back 40 years and significant progress has been recorded in those four decades. Smart structures typically have some control systems that enable them to deal with perturbations. The active vibration management techniques have been applied numerically and experimentally in order to reduce the vibrational levels of lightweight economic composite structures. Smart composite beams and plates have been produced and tested with surface-based piezoelectric sensors and actuators. It has been found that an effective model of smart composite plates can predict the dynamic characteristics. Utilizing Genetic Algorithm (GA) was designed and implemented. Two regression model as root mean square (RMSE) and determination coefficient (R2) were used. The first and second bending modes are operated effectively by a beam, and simultaneous vibration levels are significantly reduced for the conductive plates by the simultaneous operation of the bending and twisting modes. Vibration management is realized by using efficient control. GA could show better performance for managing linear feedback laws under given assumptions.
基于遗传算法的组合梁结构智能主动控制优化算法
土木和基础设施工程结构控制的生产性主动和半主动原理可以追溯到40年前,在这40年里取得了重大进展。智能结构通常具有一些控制系统,使其能够处理扰动。主动振动管理技术已在数值和实验上得到应用,以降低轻质经济复合材料结构的振动水平。已经生产出智能复合梁和板,并使用基于表面的压电传感器和致动器进行了测试。研究发现,一个有效的智能复合材料板模型可以预测其动态特性。设计并实现了利用遗传算法的遗传算法。采用均方根(RMSE)和决定系数(R2)两个回归模型。第一和第二弯曲模式由梁有效地操作,并且通过弯曲和扭曲模式的同时操作显著降低了导电板的同时振动水平。振动管理是通过使用有效的控制来实现的。在给定的假设条件下,遗传算法可以在管理线性反馈律方面表现出更好的性能。
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来源期刊
Smart Structures and Systems
Smart Structures and Systems 工程技术-工程:机械
CiteScore
6.50
自引率
8.60%
发文量
0
审稿时长
9 months
期刊介绍: An International Journal of Mechatronics, Sensors, Monitoring, Control, Diagnosis, and Management airns at providing a major publication channel for researchers in the general area of smart structures and systems. Typical subjects considered by the journal include: Sensors/Actuators(Materials/devices/ informatics/networking) Structural Health Monitoring and Control Diagnosis/Prognosis Life Cycle Engineering(planning/design/ maintenance/renewal) and related areas.
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