Smart Structures and Systems

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

  • Cao, Yan (School of Mechatronic Engineering, Xi'an Technological University) ;
  • Zandi, Yousef (Department of Civil Engineering, Tabriz Branch, Islamic Azad University) ;
  • Gholizadeh, Morteza (Department of Civil Engineering, Tabriz Branch, Islamic Azad University) ;
  • Fu, Leijie (School of Mechatronic Engineering, Xi'an Technological University) ;
  • Du, Jiang (School of Mechatronic Engineering, Xi'an Technological University) ;
  • Qian, Xueming (School of Mechatronic Engineering, Xi'an Technological University) ;
  • Wang, Zhijie (School of Mechatronic Engineering, Xi'an Technological University) ;
  • Roco-Videla, Angel (Facultad de Ciencias de la Salud., Universidad Bernardo O'Higgins) ;
  • Selmi, Abdellatif (Department of Civil Engineering, College of Engineering, Prince Sattam Bin Abdulaziz University) ;
  • Issakhov, Alibek (Al-Farabi Kazakh National University)
  • Received : 2019.01.15
  • Accepted : 2011.05.11
  • Published : 2021.06.25
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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.

Keywords

Acknowledgement

This paper is supported by Shaanxi Key Research and Development Plan (Grant: 2020GY-147), Shaanxi Innovation Capability Support Plan (Grant: 2019PT-19), Project of Joint Postgraduate Training Base of Xi'an Technological University, Research Project of Graduate Education and Teaching Reform of Xi'an Technological University in 2017, and President Fund of Xi'an Technological University (Grand: XAGDXJJ15004).

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