Optimization algorithms for composite beam as smart active control of structures using genetic algorithms
Cao Y. Zandi Y. Gholizadeh M. Fu L. Du J. Qian X. Wang Z. Roco-Videla A. Selmi A. Issakhov A.
June 2021Techno-Press
Smart Structures and Systems
2021#27Issue 61041 - 1052 pp.
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. Copyright
Active control , Composite beam , Genetic algorithms , Optimization algorithms
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School of Mechatronic Engineering, Xi’an Technological University, Xi’an, 710021, China
Department of Civil Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran
Programa Magister en ciencias químico-biológicas, Facultad de Ciencias de la Salud, Universidad Bernardo O´Higgins, Santiago, Chile
Departamento de ingeniería Civil, Facultad de Ingeniería, Universidad Católica de la Santísima Concepción, Concepción, Chile
Department of Civil Engineering, College of Engineering, Prince Sattam Bin Abdulaziz University, Al‑Kharj, 11942, Saudi Arabia
Civil Engineering Laboratory, Ecole Nationale D’Ingénieurs deTunis (ENIT), B.P. 37, Lbelvédère1002, Tunis, Tunisia
Al-Farabi Kazakh National University, Almaty, Kazakhstan
Kazakh-British Technical University, Almaty, Kazakhstan
School of Mechatronic Engineering
Department of Civil Engineering
Programa Magister en ciencias químico-biológicas
Departamento de ingeniería Civil
Department of Civil Engineering
Civil Engineering Laboratory
Al-Farabi Kazakh National University
Kazakh-British Technical University
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