Symplectic approach for accurate buckling analysis in decagonal symmetric two-dimensional quasicrystal plates

IF 4.4 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Junjie Fan , Lianhe Li , Alatancang Chen , Guangfang Li
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引用次数: 0

Abstract

This study employs a symplectic approach to investigate the buckling behavior of decagonal symmetric two-dimensional quasicrystal plates. The symplectic approach, known for its high flexibility and broad applicability, has become an essential tool in elasticity theory for addressing complex boundary conditions and material characteristics. Quasicrystalline materials exhibit unique elastic responses due to their quasiperiodic structures, which pose challenges that traditional semi-inverse methods often cannot handle. In contrast, the symplectic approach simplifies the analytical process of high-order differential equations without requiring additional potential functions, making variable separation and eigenfunction expansion more efficient. To effectively apply the symplectic approach, this study transforms the governing equations into Hamiltonian dual equations, enabling precise solutions to the eigenvalue problem to identify critical buckling loads and analyze buckling modes under six typical boundary conditions. The results are validated through comparison with existing literature, further demonstrating the reliability and accuracy of the symplectic approach in such problems. Additionally, this study systematically explores the effects of geometric parameters (such as aspect ratio and thickness-to-width ratio), coupling constants, and their influence on phason field elastic constants, revealing their critical roles in the buckling modes of quasicrystal plates. This research provides a new theoretical perspective on the stability analysis of quasicrystal plates, showcasing the unique advantages of the symplectic approach in the analysis of complex structures and materials.
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来源期刊
Applied Mathematical Modelling
Applied Mathematical Modelling 数学-工程:综合
CiteScore
9.80
自引率
8.00%
发文量
508
审稿时长
43 days
期刊介绍: Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged. This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering. Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.
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