高超声速飞行器热结构面临着复杂的服役环境，在其结构设计过程中，采用考虑多场耦合的多学科精细化优化设计方法可以确保飞行器结构在各种复杂工况下具有卓越的性能和可靠性。针对传统多学科优化算法和传统可靠性优化算法效率低下、收敛困难的问题，本文提出了一种考虑非概率情况的飞行器结构多学科可靠性优化双层序贯高效算法，通过将多学科优化分解为一个主优化问题以及多个子优化问题，实现多学科优化约束间解耦，从而降低了多学科耦合分析在设计优化过程中产生的巨大计算成本，提高了优化效率。接着，对多学科优化最优设计点进行可靠性优化，采用双层嵌套的方式，将确定性优化与可靠性分析解耦，实现大幅提高可靠性优化效率。双层序贯算法将多学科优化扩展到了飞行器结构的可靠性优化问题，不仅实现了加速优化过程，还增强了设计的实用性和效果。最后以高超声速翼面结构优化为例，验证了本文针对高超声速飞行器结构多学科可靠性优化所提方法的正确性以及优化效率提升。
The structure of hypersonic aircraft operates in a complex service environment. During the structural design process, employing a multi-disciplinary fine optimization design method that considers multi-field coupling, which can ensure the superior performance and reliability of the aircraft structure under various complex operating conditions. Targeting the issues of low efficiency and convergence challenges associated with traditional multi-disciplinary optimization algorithms and reliability optimization algorithms, this paper proposes a double-layer sequential optimization algorithm designed specifically for multi-disciplinary reliability optimization of aircraft structures. By decomposing the multi-disciplinary optimization into a primary optimization problem and several subordinate optimization problems associated with individual constraints, the algorithm achieves decoupling of the constraints within the multi-disciplinary optimization framework. This approach not only enhances optimization efficiency but also significantly mitigates the substantial computational cost incurred by multi-disciplinary coupling analysis during the design optimization process. Subsequently, reliability optimization is performed on the multidisciplinary optimal design points. By employing a double-layer nesting method, deterministic optimization is decoupled from reliability analysis, thereby significantly enhancing the efficiency of reliability optimization. The two-layer sequential optimization algorithm extends multidisciplinary optimization to the realm of aircraft structural reliability optimization. This approach not only expedites the optimization process but also significantly enhances the practicality and efficacy of the design. Taking the optimization of hypersonic airfoil structures as a case study, the proposed method's validity is confirmed, thereby enhancing the efficiency of multidisciplinary reliability-based optimization design for aircraft structures.
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