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Structural Engineering and Mechanics Volume 85, Number 3, February10 2023 , pages 393-406 DOI: https://doi.org/10.12989/sem.2023.85.3.393 |
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Using artificial intelligence to solve a smart structure problem |
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Kaiwen Liu, Jun Gao and Ruizhe Qiu
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| Abstract | ||
| Smart structures are those structure that could adopt some behavior to prevent instability in their responses. The recognition of stability deterioration has been performed through rigid mathematical formulations in control theory and unpredicted results could not be addressed in control systems since they are able to only work under their predefined condition. On the other hand, incorporating all affecting parameters could result in high computational cost and delay time in the response of the systems. Artificial intelligence (AI) method has shown to be a promising methodology not only in the computer science by at everyday life and in engineering problems. In the present study, we exploit the capabilities of artificial intelligence method to obtain frequency response of a smart structure. In this regard, a comprehensive development of equations is presented using Hamilton' principle and first order shear deformation theory. The equations were solved by numerical methods and the results are used to train an artificial neural network (ANN). It is demonstrated that ANN modeling could provide accurate results in comparison to the numerical solutions and it take less time than numerical solution. | ||
| Key Words | ||
| artificial intelligence; mathematical modeling; piezoelectric materials; problem-solving; smart problem | ||
| Address | ||
| Kaiwen Liu: School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, Sichuan, China Jun Gao: School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, Sichuan, China; National Railway Group Wu-Guang High Speed Railway Company, Wuhan, 430212, Hubei, China Ruizhe Qiu: School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, Sichuan, China | ||