4.7 Article

Dichotomy property of dispersion equation of guided waves propagating in anisotropic composite plates

Journal

MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Volume 164, Issue -, Pages -

Publisher

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ymssp.2021.108212

Keywords

Guided waves; Dispersion equation; Anisotropic composite plate; Dichotomy property; Global matrix method

Funding

  1. China Scholarship Council (CSC)

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This paper explores the properties of dispersion equations for single- and multi-layered composite plates, presents a method to efficiently solve complex-valued dispersion equations through standard numerical methods, and proposes a parallel computing technique to enhance computational efficiency of traditional methods. The methodology provided offers a stable, multipurpose, and numerically efficient framework for solving dispersion equations.
Accurate prediction of dispersion curves for ultrasonic guided waves propagation in multi layered composite laminates is crucial for the deployment of nondestructive testing procedures and structural health monitoring algorithms dedicated to aerospace composite materials. However, existing efforts mainly focused on finding ways to build complex-valued dispersion equations for guided waves (see transfer matrix method (TMM), global matrix method (GMM) and stiffness matrix method (SMM) for example) with little focus on developing efficient and stable numerical solving methods associated with the derived complex-valued equations. In this paper, the conditions under which complex-valued dispersion equations are either real or purely imaginary-valued equations (termed as dichotomy property) are derived for both single-and multi-layered composite plates. With such a property, the complex-valued dispersion equations can be efficiently numerically solved within the real number field via the standard bisection method or the corrected phase change method. It is thus now possible to overcome numerical issues frequently reported in literature. Besides, a parallel computing technique is proposed in this paper to improve the computational efficiency of the traditional GMM. The proposed methodology provides a new standard framework to solve the dispersion equations which is stable, multipurpose, and numerically efficient.

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