基于人工智能算法的超材料力学/电磁学结构一体化设计方法研究

频率选择表面（Frequency Selective Surface, FSS）是电磁超材料的一种典型工程应用。在民用工业及国防军事等领域，新型高性能FSS电磁结构的需求迫切，开展其机理与设计方法研究刻不容缓。该领域目前仍然面临以下几个挑战性问题：传统的电磁设计原理无法突破高性能FSS结构的应用要求；其力学/电磁学结构一体化设计方法仍处于空白状态；结构力学与电磁性能之间的矛盾导致传统的优化方法效率低下，亟需发展高效的优化算法。因此，本项目将开展以下的开创性工作：突破传统设计原理极限的电磁融合设计方法；基于梯度设计的FSS结构的力学/电磁学结构一体化设计方法；基于人工智能的FSS结构力学/电磁学结构的高效优化算法。本项目首次将人工智能算法引入到FSS结构的力学/电磁学一体化设计之中，将填补国际上FSS结构力学/电磁学设计方法的空白，可以为新型高性能FSS结构一体化设计提供强有力的技术支撑。

The demand for high-performance frequency selective surface (FSS) structures is extremely urgent in civil and defense fields, and studies on mechanism as well as design methods for high-performance FSS structures are required. However, current research on FSS structures remains the following problems. First, the traditional electromagnetic design methods still cannot meet the application requirements of high-performance FSS structures. Second, the integrated design method of FSS structures with lightweight, bearing, wave-transparent, and stealth multi-functions under high temperature is a blank. Third, the contradiction between high-temperature mechanical properties and electromagnetic performance leads to the inefficiency of traditional multi-objective optimization methods, and it is urgent to develop efficient optimization algorithms. Therefore, this project will implement the following work regarding the above issues. First, a novel method combining the traditional design principle of multi-screen FSS structures with the design method of medium structures will be promoted. Second, based on multi-layer gradient design, this project will propose a mechanical and electromagnetic integrated design method for multi-functional FSS structures. Third, an efficient optimization algorithm based on artificial intelligence methods will be developed for FSS structures. This project is expected to provide an efficient approach for the integrated design of high-performance FSS structures.