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中国物理学会期刊

吸气式高超声速飞行器流-固-热耦合计算技术研究进展

Review on Fluid-Thermal-Structure Interaction Computational Techniques for Air-Breathing Hypersonic Vehicles

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  • 吸气式高超声速飞行器在临近空间以超过Ma5速度飞行时,面临极端气动加热、燃烧释热与复杂载荷的严峻挑战,由此引发材料性能退化、结构热变形,而热变形又反作用于内外流场,形成高度非线性的流-固-热耦合问题。本文系统综述了气动热/燃烧加热建模、高温结构变形/破坏建模、数据传递与网格变形方法、耦合策略及智能加速技术。目前,准确预测壁面热流仍是流-固-热耦合的重难点,高温下结构热弹性、蠕变/塑性、烧蚀和疲劳模型还需进一步发展。与此同时,界面数据传递与网格变形方法应适配模型发展进一步提高精度与效率。耦合策略上需进一步构建贴近真实物理过程的自适应时间算法。智能加速技术虽在提升计算效率方面潜力显著,但其在物理约束满足与误差控制方面仍面临挑战。流-固-热耦合技术是突破高超声速飞行器设计瓶颈的核心,未来发展应聚焦于高保真物理模型与智能自适应耦合求解范式的融合,构建支持全生命周期的智能仿真系统,为飞行器状态感知与自主决策提供支撑。

     

    Air-breathing hypersonic vehicles operating in the near-space environment at speeds above Mach 5 encounter extreme aerothermal loads, combustion heat release, and structural deformation, driving a highly nonlinear fluid-thermal-structural interaction (FTSI) problem critical to flight safety and performance. This paper systematically reviews the state of the art in FTSI modeling and simulation, encompassing aerothermal/combustion heating prediction, high-temperature structural constitutive modeling, interface data transfer and dynamic mesh morphing, and partitioned coupling strategies alongside emerging data-driven acceleration techniques. Despite advances in loosely coupled assessment frameworks, accurate and efficient prediction of wall heat flux under complex flow conditions remains a persistent obstacle. Moreover, conventional linear thermoelasticity inadequately captures plastic ratcheting, creep, ablation, and fatigue damage under severe thermal shock, while rigorous conservation across non-matching interfaces and mesh robustness during large deformations continue to challenge numerical implementation. Although machine learning surrogates offer computational speed gains, their predictive reliability is constrained by sparse training data and weak physics embedding. Future progress demands development of vibration-coupled life-cycle assessment tools, a paradigm shift from static margin-based design to high-fidelity multi-physics virtual testing, and intelligent integration of FTSI solvers with digital twin systems. Such advances will enable real-time structural health monitoring and autonomous trajectory adaptation, substantially enhancing mission resilience and operational longevity of hypersonic platforms.

     

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