该杂志致力于通过传播揭示新的理论发展和/或实验结果的原始档案研究论文来促进航天和航空科学技术的进步。主题包括气动声学、空气动力学、燃烧、推进基础、流体力学和反应流、航空航天环境的基本方面、流体动力学、激光和相关现象、等离子体、研究仪器和设施、结构力学和材料、优化以及热力学和热化学。还寻求以密集方式审查上述任何主题的最新研究发展结果的论文。

The AIAA Journal is dedicated to advancing aerospace and aeronautical science and technology by disseminating original research papers that reveal new theoretical developments and/or experimental results. Topics include aeroacoustics, aerodynamics, combustion, propulsion fundamentals, fluid mechanics and reactive flows, fundamental aspects of the aerospace environment, hydrodynamics, lasers and related phenomena, plasma, research instruments and facilities, structural mechanics and materials, optimization, as well as thermodynamics and thermochemistry. The journal also seeks papers that review the latest research developments in any of the aforementioned topics in depth.

AIAA Journal 是一本致力于通过传播新的理论发展和实验结果的原创研究论文，促进航天和航空科学技术进步的期刊。其主题涵盖气动声学、空气动力学、燃烧、推进基础、流体力学和反应流、航空航天环境的基本方面、流体动力学、激光及相关现象、等离子体、研究仪器和设施、结构力学与材料、优化，以及热力学和热化学。此外，期刊还欢迎对上述任何主题的最新研究发展进行深入审查的论文。

AIAA Journal

The present work explores the physical basis for the entrainment limit in heat pipes and attempts to develop adequate quantitative criteria for the limit. Analogy is emphasized here between the entrainment phenomenon in heat pipes and the flooding phenomenon in countercurrent vapor-liquid flow systems. The maximum operating heat-transfer rates for various heat pipes due to entrainment limitation are established semiempirically by way of modifying existing flooding correlations. While the present results are successful in correlating the limited experimental data available, further experimental studies are needed in assessing the validity of the established criteria.

C.L. Tien

K.S. Chung

Entrainment Limits in Heat Pipes

Impulsive trajectories optimal and nonoptimal solutions, classifying known results for reference purposes

F. W. GOBETZ

J. R. DOLL

A survey of impulsive trajectories.

脉冲轨迹综述。

Quantum computing has become a pivotal innovation in computational science, offering novel avenues for tackling the increasingly complex and high-dimensional optimization challenges inherent in engineering design. This paradigm shift is particularly pertinent in the domain of structural optimization, where the intricate interplay of design variables and constraints necessitates advanced computational strategies. In this vein, the gate-based variational quantum algorithm utilizes quantum superposition and entanglement to improve search efficiency in large solution spaces. This paper delves into the gate-based variational quantum algorithm for the discrete variable truss structure size optimization problem. By reformulating this optimization challenge into a quadratic, unconstrained binary optimization framework, we bridge the gap between the discrete nature of engineering optimization tasks and the quantum computational paradigm. A detailed algorithm is outlined, encompassing the translation of the truss optimization problem into the quantum problem, the initialization and iterative evolution of a quantum circuit tailored to this problem, and the integration of classical optimization techniques for parameter tuning. The proposed approach demonstrates the feasibility and potential of quantum computing to transform engineering design and optimization, with numerical experiments validating the effectiveness of the method and paving the way for future explorations in quantum-assisted engineering optimizations.

Yusheng Xu

Xiaojun Wang

Zhenghuan Wang

Gate-Based Variational Quantum Algorithm for Truss Structure Size Optimization Problem

基于门变分量子算法的桁架结构尺寸优化问题

This paper examines the performance of a 3D printed acoustic metamaterial as an acoustic treatment for aircraft engine nacelles in the Advanced Noise Control Fan. As the level of air travel continues to increase, so too does the demand for better noise-reduction technologies for aircraft. Engines are one of the two main sources of noise generated by aircraft, with fan noise, in particular, being of concern due to its broadband and tonal contributions. Small and lightweight methods of addressing both broadband and tonal noise are necessary due to the limitations presented by the current engine design. Presented in this paper is a novel acoustic metamaterial that has undergone design optimization for broadband noise reduction. The final design was produced using 3D printing and tested using the Advanced Noise Control Fan at the University of Notre Dame. It was found that the material is capable of reducing the first harmonic of the blade passing frequency by up to 18.5 dB, with an overall noise reduction of 3.7 dB.

Eoghan P. Ross

Kelvin M. Figueroa-Ibrahim

Scott C. Morris

Daniel L. Sutliff

Gareth J. Bennett

Evaluating an Additive Manufactured Acoustic Metamaterial Using the Advanced Noise Control Fan

评估采用先进降噪风扇的增材制造声学超材料

An experimental methodology was designed to study the effects of turbulent flow and shock/boundary-layer interaction (SBLI) on the postflutter response of a thin, buckled panel. The approach combines a systematic testing strategy with state-of-the-art full-field, noncontact measurement techniques, including pressure-sensitive paint, three-dimensional digital image correlation (DIC), and schlieren imaging. These measurements, combined with traditional sensors, were used to characterize the loading conditions and the structural response. The thermally buckled panel experienced bistable, cross-well oscillations with cavity pressure modulation for turbulent flow conditions. This response was characterized as chaotic using several conventional criteria. As the temperature differential between the frame and panel decreased, the panel response transitioned to periodic. For the first time, shock-induced limit cycle oscillations (LCOs) were also measured using DIC. In the presence of an attached SBLI, the dynamic response was centered about the three-quarter chord. As the strength of the SBLI increased, the LCO initially subsided and then reappeared near the midchord for the strongest shock considered.

Kirk R. Brouwer

Ricardo A. Perez

Timothy J. Beberniss

S. Michael Spottswood

David A. Ehrhardt

Experiments on a Thin Panel Excited by Turbulent Flow and Shock/Boundary-Layer Interactions

湍流流动和激波/边界层相互作用激励薄板的实验研究

Given a constrained slender structure and subject to thermal loading, that is, relative to ambient conditions and any support structure, a reduction in stiffness not only leads to buckling, but also has a strong effect on the natural frequencies of the system. One of the simplest structural forms is a thin circular panel, clamped around its perimeter, and the current paper focuses attention on such a system. A key aspect of this work is the extraction of sets of natural frequencies throughout the buckling process, with a primary focus on experimentally measured frequencies. Given the cyclically symmetric nature of the system, there are also some interesting observations concerning the changing vibration mode shapes as a function of thermal loading, and more clearly in the postbuckling regime. Another novel aspect of this research is an additional focus on the characterization of snap-through between postbuckled equilibrium configurations and its influence on the natural frequencies. That is, thermally buckled panels often possess multiple equilibrium configurations (bistability), with some characteristic transitions (both naturally occurring and forced) between them. Three panels are tested, consisting of two different materials (aluminum and brass) and two different thicknesses.

Charles Cervi

Ricardo Perez

Lawrence Virgin

Thermal Loading on the Natural Frequencies of Postbuckled Clamped Circular Panels

夹紧圆板后屈曲自然频率的热载荷影响

To investigate the interaction of Tollmien–Schlichting instabilities in a boundary layer over a porous surface with an underlying suction chamber, two-dimensional simulations solving the complete Navier–Stokes equations are conducted. It is found that the coupling of disturbances in the boundary layer and in the chamber leads to an increased mode amplification. The additional growth rate depends on the pore geometries, more generally on the impedance of the porous surface. It is shown that the amplitude growth is not dependent on the suction flow through the pores, assuming the boundary layer profile remains constant. This is realized by the use of source terms in the boundary layer. Furthermore, it is demonstrated that partitioning the chamber can mitigate the additional amplification. In this case, disturbances are prevented from propagating inside the suction chamber.

Richard von Soldenhoff

Heinrich Lüdeke

Interaction of Boundary Layer and Suction Chamber of a Laminarization System

层流化系统中边界层与吸水室的相互作用

Optical force and moment measurements of hypersonic free-flight can cover a range of attitudes during a single test and avoid difficulties encountered by alternative measurement techniques. However, the signal to noise ratio of image processing is often low, and results require significant smoothing for meaningful interpretation. This work presents a new method for such measurements in which a sigma-point Kalman filter and Rauch–Tung–Striebel smoother compute a state estimate at each time step using images from two or more high-speed camera images. Markers detected in each image are treated as individual system observations, so cameras need not be synchronized nor be viewing similar features. The benefits of this approach are demonstrated with experiments of a cube in Mach 6 flow in the University of Southern Queensland’s TUSQ wind tunnel. Measured aerodynamic coefficients show strong agreement to CFD simulations also conducted as part of this work; average differences are 1.7% and 7.8% of the maximum measured forces and moments, respectively. A discussion on factors influencing the accuracy, uncertainty, and resolution of the results provides guidance to further improve the method. Moreover, this method can be extended to more complex geometry representing space debris and hypersonic vehicles.

Andrew Lock

Flynn Hack

Ingo Jahn

Gerard Armstrong

Byrenn Birch

David Buttsworth

Aerodynamic Measurements of Hypersonic Free-Flight via Optical Tracking and Bayesian State Estimation

通过光学跟踪和贝叶斯状态估计的超声速自由飞行气动测量

Reinforcement learning (RL), an unsupervised machine learning approach, is innovatively introduced to turbulent combustion modeling and demonstrated through the automated construction of submodel assignment criteria within the framework of zone-adaptive combustion modeling (AdaCM). In AdaCM, the appropriate combustion submodel—whether the cost-effective species transport model or the advanced transported probability density function (TPDF) method—is adaptively assigned to different regions based on a criterion crucial for performance. The use of RL avoids the extensive manual optimization that involves repetitive calculations and struggles to account for multiple factors. Specifically, RL agents observe local variables as the state and determine the appropriate submodel through a policy. The policy is refined to maximize a reward measuring both accuracy and efficiency through the interaction between RL agents and the AdaCM solver. The methodology is demonstrated for a turbulent non-premixed jet flame, and a sophisticated RL criterion exhibiting a nonlinear and nonmonotonic dependency on the two-dimensional state of mixture fraction and Damköhler number is learned. The AdaCM with the trained criterion provides predictions that are nearly indistinguishable from those obtained using the TPDF method for the whole computational domain, while substantially reducing the computational cost with the speedup of 3.4 and only 22% of cells for TPDF.

Tianwei Yang

Yu Yin

Qili Liu

Tao Yu

Yuwang Wang

Hua Zhou

Zhuyin Ren

Reinforcement Learning for Submodel Assignment in Adaptive Modeling of Turbulent Flames

湍流火焰自适应建模中子模型分配的强化学习

Accurate reconstruction of unknown external forces from measurable responses is critical for ensuring structural safety and minimizing maintenance costs of aircraft structures. This paper presents a novel multitask-transfer-learning method for random-force frequency identification that accounts for modeling and measurement uncertainties. A data-driven convolutional neural network (CNN) model is utilized to capture the relationship between the power spectral densities of external forces and measured responses, addressing the inherent ill-posedness of traditional model-driven force identification methods. To shorten the frequency-dependent training time in the full frequency domain, a transfer-learning strategy is implemented, fine-tuning hyperparameters from a CNN model trained at one source frequency to another target frequency. Furthermore, an iterative dimensionwise collocation method based on nonprobabilistic interval modeling is introduced to quantify the uncertain boundaries of external loads caused by multisource uncertainties. By incorporating a multitask-learning framework, the process of establishing CNN models for collocated samples is accelerated, reducing the computational effort for uncertainty quantification. The proposed method is validated through both numerical and experimental examples, demonstrating its accuracy, robustness, and computational efficiency for force identification in the full frequency domain, even under conditions of insufficient measurements, measurement noises, and material dispersions.

Yaru Liu

Lei Wang

Bing Feng Ng

Multitask-Transfer-Learning Method for Random-Force Frequency Identification Considering Multisource Uncertainties

多任务迁移学习方法用于考虑多源不确定性的随机力频率识别

Abbreviation
Journal Impact	2.24
Quartiles(Global)	ENGINEERING, AEROSPACE(Q2)

ISSN	0001-1452, 1081-0102, 1533-385X
h-index	180

Publication Information	Publisher: American Institute of Aeronautics and Astronautics Inc. (AIAA)，Publishing cycle: Monthly，Journal Type: journal，Open Access Journals: No
Basic data	Year of publication: 1963，Proportion of original research papers: 99.44%，Self Citation Rate:14.30%， Gold OA Rate: 3.15%
Average review cycle	网友分享经验：一般,3-6周
Average recruitment ratio	网友分享经验：容易

AIAA Journal

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