Optimal boundary control for the Timoshenko–Ehrenfest truncated model

IF 2.5 3区 工程技术 Q2 MECHANICS
Leonardo Rogério da Silva Rodrigues, Dilberto da Silva Almeida Júnior, Isaac Elishakoff
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引用次数: 0

Abstract

In this work, we investigate the optimal control problem associated with a truncated version of the Timoshenko–Ehrenfest beam model, which captures essential features of transverse vibrations in elastic structures. We begin by establishing the well-posedness of the system through the Faedo–Galerkin approximation method, ensuring existence and uniqueness of solutions. The associated optimal control problem is then formulated, and the Pontryagin maximum principle is employed to characterize the optimality conditions. To obtain the analytical solution aiming numerical issues, we apply a Fourier series expansion, which allows for the explicit representation of both the state and the adjoint variables. Finally, we present numerical simulations that demonstrate the efficiency of the proposed control strategy in suppressing unwanted vibrations, confirming the theoretical results and highlighting the practical relevance of the method.

Timoshenko-Ehrenfest截断模型的最优边界控制
在这项工作中,我们研究了与截断版Timoshenko-Ehrenfest梁模型相关的最优控制问题,该模型捕获了弹性结构中横向振动的基本特征。首先通过Faedo-Galerkin逼近法建立了系统的适定性,保证了解的存在唯一性。然后提出了相关的最优控制问题,并利用庞特里亚金极大值原理来表征最优性条件。为了获得针对数值问题的解析解,我们应用傅立叶级数展开,它允许状态和伴随变量的显式表示。最后,我们给出了数值模拟,证明了所提出的控制策略在抑制不必要的振动方面的效率,证实了理论结果并强调了该方法的实际相关性。
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来源期刊
CiteScore
4.40
自引率
10.70%
发文量
234
审稿时长
4-8 weeks
期刊介绍: Archive of Applied Mechanics serves as a platform to communicate original research of scholarly value in all branches of theoretical and applied mechanics, i.e., in solid and fluid mechanics, dynamics and vibrations. It focuses on continuum mechanics in general, structural mechanics, biomechanics, micro- and nano-mechanics as well as hydrodynamics. In particular, the following topics are emphasised: thermodynamics of materials, material modeling, multi-physics, mechanical properties of materials, homogenisation, phase transitions, fracture and damage mechanics, vibration, wave propagation experimental mechanics as well as machine learning techniques in the context of applied mechanics.
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