Pengwei Liang , Xueguan Song , Yong Xiang , Zhaoyang Li , Tao Zhang , Junwei Zhang
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引用次数: 0
Abstract
Large-aperture mirror systems (LAMS) are widely used in fields such as electro-optical countermeasures, spaceborne remote sensing, and laser communication. Accurate modeling and analysis of LAMS are crucial for its design and optimization. To transition from one-off simulation models to a generalized theoretical mathematical model, this paper presents a theoretical modeling method that combines the Reciprocal Theorem of Work and the Perturbation Method. First, based on the Kirchhoff plate theory, a variable-coefficient deflection governing equations for LAMS is derived. Then, using the principles of the Perturbation Method, an analytical solution for the governing equations within the framework of the Reciprocal Theorem of Work is obtained. Additionally, the proposed governing equations are validated for convergence, and it is found that the solution converges when m ≥ 3. By comparing with FEM results, the accuracy of the proposed model is confirmed, with the root mean square error (RMSE) below 9.918 × 10-4 and R2 exceeding 0.875. Furthermore, the influence of higher-order perturbation terms and computational efficiency are analyzed. The results show that the first-order perturbation solution satisfies the accuracy requirements, and the proposed method offers significant computational efficiency advantages over FEM. Finally, for a specific LAMS model, the proposed governing equations are applied to optimize its support scheme. The results indicate that, for 9 support points, the optimal radius of the inner supports is 0.267a, while the outer supports have an optimal radius of 0.775a. For 18 support points, the optimal radius of the inner supports is 0.343a, with the outer supports having an optimal radius of 0.811a. Overall, the proposed method establishes a theoretical foundation for designing and optimizing the support structures of LAMS, significantly facilitating engineers in optimizing its optomechanical performance.
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.