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http://dx.doi.org/10.12989/sss.2021.27.6.1041

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)
Publication Information
Smart Structures and Systems / v.27, no.6, 2021 , pp. 1041-1052 More about this Journal
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
active control; optimization algorithms; composite beam; genetic algorithms;
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86 Babanajad, S.K., Gandomi, A.H., Mohammadzadeh, D. and Alavi, A.H. (2013), "Numerical modeling of concrete strength under multiaxial confinement pressures using linear genetic programming", Automat. Constr., 36, 136-144. https://doi.org/10.1016/j.autcon.2013.08.016   DOI
87 Brandejsky, T. (2018), "Dependency of GPA-ES Algorithm Efficiency on ES Parameters Optimization Strength", Proceedings of International Conference on Advanced Engineering Theory and Applications, Springer. https://doi.org/10.1007/978-3-030-14907-9_29   DOI
88 Chau, K.K., Moslehi, B., Song, G. and Sethi, V. (2004), "Experimental demonstration of fiber Bragg grating strain sensors for structural vibration control", Proceedings of Smart Structures and Materials 2004: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, International Society for Optics and Photonics, San Diego, CA, USA, July. https://doi.org/10.1117/12.539215   DOI
89 Che-Ngoc, H., Pham-Chau, A.-T. and Bora, D.J. (2018), "A New Fuzzy Rule Based Contrast Enhancement Method using The Two-Steps Automatic Clustering Algorithm", J. Adv. Eng. Computat., 2(4), 239-250. http://dx.doi.org/10.25073/jaec.201824.214   DOI
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94 Shariati, M. (2013), Behaviour of C-shaped Shear Connectors in Stell Concrete Composite Beams, Jabatan Kejuruteraan Awam, Fakulti Kejuruteraan, Universiti Malaya.
95 Song, H.J., Ming, G.L., He, Z., Lehmann, M., McKerracher, L., Tessier-Lavigne, M. and Poo, M.M. (1998), "Conversion of neuronal growth cone responses from repulsion to attraction by cyclic nucleotides", Science, 281(5382), 1515-1518. https://doi.org/10.1126/science.281.5382.1515   DOI
96 Jalali, A., Daie, M., Nazhadan, S.V.M., Kazemi-Arbat, P. and Shariati, M. (2012), "Seismic performance of structures with pre-bent strips as a damper", Int. J. Phys. Sci., 7(26), 4061-4072. https://doi.org/10.5897/IJPS11.1324   DOI
97 Ziaei-Nia, A., Shariati, M. and Salehabadi, E. (2018), "Dynamic mix design optimization of high-performance concrete", Steel Compos. Struct., Int. J., 29(1), 67-75. https://doi.org/10.12989/scs.2018.29.1.067   DOI
98 Pul, M. (2020), "Effect of sintering temperature on pore ratio and mechanical properties of composite structure in nano graphene reinforced ZA27 based composites", Int. J. Miner. Metall. Mater., 27(2), 232-243. https://doi.org/10.1007/s12613-019-1926-2   DOI
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105 Safa, M., Sari, P.A., Shariati, M., Suhatril, M., Trung, N.T., Wakil, K. and Khorami, M. (2020), "Development of neuro-fuzzy and neuro-bee predictive models for prediction of the safety factor of eco-protection slopes", Physica A: Statist. Mech. Applicat., 124046. https://doi.org/10.1016/j.physa.2019.124046   DOI
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107 Sadeghipour Chahnasir, E., Zandi, Y., Shariati, M., Dehghani, E., Toghroli, A., Mohamed, E.T., Shariati, A., Safa, M., Wakil, K. and Khorami, M. (2018), "Application of support vector machine with firefly algorithm for investigation of the factors affecting the shear strength of angle shear connectors", Smart Struct. Syst., Int. J., 22(4), 413-424. http://dx.doi.org/10.12989/sss.2018.22.4.413   DOI
108 Safa, M., Shariati, M., Ibrahim, Z., Toghroli, A., Baharom, S.B., Nor, N.M. and Petkovic, D. (2016), "Potential of adaptive neuro fuzzy inference system for evaluating the factors affecting steel-concrete composite beam's shear strength", Steel Compos. Struct., Int. J., 21(3), 679-688. https://doi.org/10.12989/scs.2016.21.3.679   DOI
109 Saridemir, M. (2014), "Effect of specimen size and shape on compressive strength of concrete containing fly ash: Application of genetic programming for design", Mater. Des., (1980-2015) 56, 297-304. 10.1016/j.matdes.2013.10.073   DOI
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111 Rajaei, S., Shoaei, P., Shariati, M., Ameri, F., Musaeei, H.R., Behforouz, B. and de Brito, J. (2021), "Rubberized alkali-activated slag mortar reinforced with polypropylene fibres for application in lightweight thermal insulating materials", Constr. Build. Mater., 270, 121430. https://doi.org/10.1016/j.conbuildmat.2020.121430   DOI
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117 Toghroli, A., Mehrabi, P., Shariati, M., Trung, N.T., Jahandari, S. and Rasekh, H. (2020), "Evaluating the use of recycled concrete aggregate and pozzolanic additives in fiber-reinforced pervious concrete with industrial and recycled fibers", Constr. Build. Mater., 252, 118997. https://doi.org/10.1016/j.conbuildmat.2020.118997   DOI
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120 Sedghi, Y., Zandi, Y., Shariati, M., Ahmadi, E., Azar, V.M., Toghroli, A., Safa, M., Tonnizam Mohamad, E., Khorami, M. and Wakil, K. (2018), "Application of ANFIS technique on performance of C and L shaped angle shear connectors", Smart Struct. Syst., Int. J., 22(3), 335-340. https://doi.org/10.12989/sss.2018.22.3.335   DOI
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128 Shariati, M., Tahmasbi, F., Mehrabi, P., Bahadori, A. and Toghroli, A. (2020h), "Monotonic behavior of C and L shaped angle shear connectors within steel-concrete composite beams: an experimental investigation", Steel Compos. Struct., Int. J., 35(2), 237-247. https://doi.org/10.12989/scs.2020.35.2.237   DOI
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