Stability Results for Novel Serially-Connected Magnetizable Piezoelectric and Elastic Smart-System Designs

IF 1.6 2区 数学 Q2 MATHEMATICS, APPLIED Applied Mathematics and Optimization Pub Date : 2024-04-16 DOI:10.1007/s00245-024-10129-2
Mohammad Akil, Serge Nicaise, Ahmet Özkan Özer, Virginie Régnier
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Abstract

In this paper, the stability of longitudinal vibrations for transmission problems of two smart-system designs are studied: (i) a serially-connected elastic–piezoelectric–elastic design with a local damping acting only on the piezoelectric layer and (ii) a serially-connected piezoelectric–elastic design with a local damping acting on the elastic part only. Unlike the existing literature, piezoelectric layers are considered magnetizable, and therefore, a fully-dynamic PDE model, retaining interactions of electromagnetic fields (due to Maxwell’s equations) with the mechanical vibrations, is considered. The design (i) is shown to have exponentially stable solutions. However, the nature of the stability of solutions of the design (ii), whether it is polynomial or exponential, is dependent entirely upon the arithmetic nature of a quotient involving all physical parameters. Furthermore, a polynomial decay rate is provided in terms of a measure of irrationality of the quotient. Note that this type of result is totally new (see Theorem 1.3 and Condition \(\mathrm {\mathbf {(H_{Pol})}}\)). The main tool used throughout the paper is the multipliers technique which requires an adaptive selection of cut-off functions together with a particular attention to the sharpness of the estimates to optimize the results.

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新型串联可磁化压电和弹性智能系统设计的稳定性结果
本文研究了两种智能系统设计的传动问题的纵向振动稳定性:(i) 串联的弹性-压电-弹性设计,局部阻尼仅作用于压电层;(ii) 串联的压电-弹性设计,局部阻尼仅作用于弹性部分。与现有文献不同,压电层被认为是可磁化的,因此考虑了全动态 PDE 模型,保留了电磁场(由于麦克斯韦方程组)与机械振动的相互作用。结果表明,设计 (i) 具有指数稳定解。然而,设计 (ii) 的解的稳定性,无论是多项式还是指数,完全取决于涉及所有物理参数的商的算术性质。此外,多项式衰减率是根据商的非理性度量得出的。请注意,这类结果是全新的(见定理 1.3 和条件 \mathrm {\mathbf {(H_{Pol})}}\ )。本文使用的主要工具是乘法器技术,它要求自适应地选择截止函数,并特别关注估计值的锐利度,以优化结果。
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来源期刊
CiteScore
3.30
自引率
5.60%
发文量
103
审稿时长
>12 weeks
期刊介绍: The Applied Mathematics and Optimization Journal covers a broad range of mathematical methods in particular those that bridge with optimization and have some connection with applications. Core topics include calculus of variations, partial differential equations, stochastic control, optimization of deterministic or stochastic systems in discrete or continuous time, homogenization, control theory, mean field games, dynamic games and optimal transport. Algorithmic, data analytic, machine learning and numerical methods which support the modeling and analysis of optimization problems are encouraged. Of great interest are papers which show some novel idea in either the theory or model which include some connection with potential applications in science and engineering.
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