Abstract
The piezoelectric beam model is investigated with memory, magnetic effect, and time-varying delay, which describes the conservation law of piezoelectric viscoelastic beam in a magnetic field. Based on the global well-posedness demonstrated via Kato’s variable norm technique, the exponential stability of the considered piezoelectric beam system can be achieved by using some delicate energy estimates on transport terms for delay and memory combined with multiplier techniques.
Introduction
In 1880, Jacques Curie and Pierre Curie discovered that materials such as crystals and barium titanate would have opposite charges at their two ends when subjected to pressure. They named this special property the piezoelectric effect. Later, it was found that such materials would also undergo polarization deformation in an electric field, that is, they could convert electrical energy into mechanical energy, with the converse piezoelectric effect (Brunner et al., 2005; Chee et al., 1998; Pohl, 1987). Materials with this special physical property are called piezoelectric materials. Piezoelectric materials have shown great potential applications in numerous fields due to their unique electromechanical coupling characteristics (Dagdeviren et al., 2014; Erturk & Inman, 2008).
As a common and critical structure, a piezoelectric beam is of great significance in the study of its related equations. For example, in the field of engineering applications, piezoelectric beams have wide applications in the field of sensors and actuators (Brunner et al., 2005; Yeh et al., 2008). In addition, in terms of energy harvesting, piezoelectric beams are able to convert mechanical energy (such as vibration energy) from the environment into electrical energy (Erturk & Inman, 2008). Whether in broadening the scope of practical applications, improving energy efficiency, or in fields such as medical equipment, its operating mechanism is not clear, which attracts great attention.
In the early stage, the research mainly focused on utilizing the basic piezoelectric effect of beams to convert mechanical energy, so as to achieve application functions such as sensors and energy harvesters (Erturk & Inman, 2008). Therefore, most of these models were constructed around the basic piezoelectric principle, with an emphasis on describing the conventional mechanical and electrical conversions of piezoelectric beams (Yang, 2005). With the development of science and technology, piezoelectric beams may be in an environment with a magnetic field in some practical application scenarios, such as near certain magnetic field equipment. However, previous models did not fully take into account factors such as magnetic effects. For piezoelectric beams working in a magnetic field environment, it is difficult to accurately describe the changes in their physical behaviors and performances, see Pohl (1987), Vinogradov et al. (2004), and Yeh et al. (2008).
Morris and Özer (2013, 2014) derived a piezoelectric beam model with magnetic effects through a variational method equipped with boundary conditions for stretching and bending motions as
Ramos et al. (2018) considered the system of piezoelectric beams with the damping term
Here the main interest is the stability of a viscoelastic piezoelectric beam with memory, magnetic effect, and time-varying delay, which can be read as
The main results and features of our work are summarized as follows:
Inspired by the piezoelectric beam model with magnetic effects and time-varying delay terms in Li et al. (2023) and Ramos et al. (2021), this study focuses on the impact of the beam’s past transverse displacement state on its current state. Through theoretical analysis and appropriate assumptions, the global well-posedness of system (1.3) is obtained, and its exponential stability is achieved. The first difficulty lies in dealing with the memory and delay terms. To overcome them, the Dafermos transformation and some properties of related transport equations have been used. Especially, the memory not only needs to satisfy condition (2.1), but also the memory kernel should be
The structure of this paper is organized as follows. In Section 2, the main results and the assumptions for (1.3) have been stated. The proof of well-posedness is given in Section 3. The exponential stability (1.3) has been proved in Section 4.
Assumptions
The forced hypotheses in this paper are given as follows.
The memory kernel The delay function Let The function The function
For a system with long-memory and time-varying delay, some transformations similar to those in Alabau et al. (2008), Dafermos (1970), Nicaise and Pignotti (2006), and Pata and Zucchi (2001) will be used to deal with these terms.
By using the above transformations, system (1.3) can be rewritten as equivalent form:
Though this paper denote
The history space
Assume that
Let us take
The phase space of the global solution to system (2.13) is defined as
Global well-posedness
Assume that hypotheses (A1)–(A5) hold, system (1.3) with the initial data
See, for example, the detailed proof in Section 3.
Let
See, for example, the details in Section 4.
Kato’s variable norm technique is used to show the well-posedness of system (1.3), which is divided into the following subsections.
Some Lemmas
System (2.13) is equivalent to the Cauchy problem (2.16) with
Then the phase space
Next, consider the triplet
A triplet
The domain
Let a triplet
Let
Set
Similarly, based on the density of
The equivalent norm for
The following inequality comes from Young’s inequality
Next, it is to be proved that
In order to solve (3.17), one considers bilinear form
According to the definition of the norm of phase space, it is not difficult to show that
For the remaining terms,
By Lax–Milgram theorem, equation (3.17) has a weak solution
The family
It is difficult to verify the stability condition directly. Here the proposition in Kato (2011) is adopted, claiming that
From (A2), one can obtain
Since
For the complete proof of well-posedness, the energy of (1.3) needs to be defined as
The energy
By multiplying (2.13)
The assumptions (i)–(iii) of Proposition 3.1 are verified by Lemmas 3.2–3.5. Thus, the Cauchy problem
Then the unique solution of (2.16) can be found as
This section is dedicated to studying the exponential stability of the solution using the multiplier technique. The details of the proof of Theorem 2.2 is divided into several lemmas.
Technical Estimates
Denote the following functions
If
Taking the derivative of
Along the solutions, for arbitrary
Analogously, the derivative of
If
A similar technique as above leads to
Let
By simple calculation, the proof of function
Let
Now, it follows from derivative
Set
In comparison with Li’s model presented in Li et al. (2023), our system (1.3) takes into account historical memory and delay in the longitudinal displacement of the beam. This addition renders the model more realistic and endows it with greater physical significance for practical applications.
During the subsequent research, we transformed the target system into its equivalent abstract form (2.16) and identified that
Regarding the main result, by utilizing multiplier techniques, we successfully demonstrated that the solution of problem (1.3) is exponentially stable. This not only enriches the theoretical understanding of such systems but also provides a more robust foundation for potential engineering and scientific applications related to beam dynamics with memory and delay effects.
Footnotes
Funding
The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Workshop of Outstanding Foreign Scientists in Henan Province (No. GZS2024007), Postgraduate Education Reform and Quality Improvement Project of Henan Province (No. YJS2023JC23), the international communication project from the Department of Science and Technology in Henan province (No. 242102521039) and the international communication project from the Chinese Educational Ministry (No. HZKY20220270). The work of the last author was partially supported by NSFC (No. 12171087).
Declaration of Conflicting Interests
The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
