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High-Order Wall-Modeled Large-Eddy Simulation of High-Lift Configuration 高扬程配置的高阶壁模型大埃迪式模拟
IF 2.5 3区 工程技术
AIAA Journal Pub Date : 2024-07-02 DOI: 10.2514/1.j063332
Z. J. Wang
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引用次数: 0
Micronewton Cold Gas Thruster Based on Silicon-Etched Two-Dimensional Nozzles 基于硅蚀刻二维喷嘴的微牛顿冷气体推进器
IF 2.5 3区 工程技术
AIAA Journal Pub Date : 2024-07-02 DOI: 10.2514/1.j064100
Shao Gang Hu, Hao Yuan Zhang, Wu Zhou, Hao Xu, Qing Li, Zhu Li, Shan Qing Yang, Jian Ping Liu
{"title":"Micronewton Cold Gas Thruster Based on Silicon-Etched Two-Dimensional Nozzles","authors":"Shao Gang Hu, Hao Yuan Zhang, Wu Zhou, Hao Xu, Qing Li, Zhu Li, Shan Qing Yang, Jian Ping Liu","doi":"10.2514/1.j064100","DOIUrl":"https://doi.org/10.2514/1.j064100","url":null,"abstract":"AIAA Journal, Ahead of Print. <br/>","PeriodicalId":7722,"journal":{"name":"AIAA Journal","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141524738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Diagnosing Incipient Faults for a Faster Adoption of Sustainable Aerospace Technologies 诊断初期故障,更快地采用可持续航空航天技术
IF 2.5 3区 工程技术
AIAA Journal Pub Date : 2024-07-02 DOI: 10.2514/1.j063413
F. Di Fiore, P. C. Berri, L. Mainini
{"title":"Diagnosing Incipient Faults for a Faster Adoption of Sustainable Aerospace Technologies","authors":"F. Di Fiore, P. C. Berri, L. Mainini","doi":"10.2514/1.j063413","DOIUrl":"https://doi.org/10.2514/1.j063413","url":null,"abstract":"AIAA Journal, Ahead of Print. <br/>","PeriodicalId":7722,"journal":{"name":"AIAA Journal","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141524741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Neural Network with Local Converging Input for Unstructured-Grid Computational Fluid Dynamics 用于非结构网格计算流体力学的具有本地收敛输入的神经网络
IF 2.5 3区 工程技术
AIAA Journal Pub Date : 2024-07-02 DOI: 10.2514/1.j063885
Weiming Ding, Haoxiang Huang, Tzu-Jung Lee, Yingjie Liu, Vigor Yang
{"title":"Neural Network with Local Converging Input for Unstructured-Grid Computational Fluid Dynamics","authors":"Weiming Ding, Haoxiang Huang, Tzu-Jung Lee, Yingjie Liu, Vigor Yang","doi":"10.2514/1.j063885","DOIUrl":"https://doi.org/10.2514/1.j063885","url":null,"abstract":"AIAA Journal, Ahead of Print. <br/>","PeriodicalId":7722,"journal":{"name":"AIAA Journal","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141524739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Aero-Structural Comprehensive Nonprobabilistic Reliability-Based Optimization Method for High Aspect Ratio Wings 基于可靠性的高纵横比机翼航空结构综合优化方法
IF 2.5 3区 工程技术
AIAA Journal Pub Date : 2024-06-27 DOI: 10.2514/1.j064170
Zhenxian Luo, Yingke Zhang, Qinghe Shi, Xiaojun Wang
{"title":"Aero-Structural Comprehensive Nonprobabilistic Reliability-Based Optimization Method for High Aspect Ratio Wings","authors":"Zhenxian Luo, Yingke Zhang, Qinghe Shi, Xiaojun Wang","doi":"10.2514/1.j064170","DOIUrl":"https://doi.org/10.2514/1.j064170","url":null,"abstract":"AIAA Journal, Ahead of Print. <br/>","PeriodicalId":7722,"journal":{"name":"AIAA Journal","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141524742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Mixing Enhancement Downstream of an Active Square-Mesh Grid Using Plasma Actuation 利用等离子体致动增强有源方形网格下游的混合效果
IF 2.5 3区 工程技术
AIAA Journal Pub Date : 2024-06-27 DOI: 10.2514/1.j063712
Tom Fridlender, N. Benard, J. P. Bonnet, E. Moreau
{"title":"Mixing Enhancement Downstream of an Active Square-Mesh Grid Using Plasma Actuation","authors":"Tom Fridlender, N. Benard, J. P. Bonnet, E. Moreau","doi":"10.2514/1.j063712","DOIUrl":"https://doi.org/10.2514/1.j063712","url":null,"abstract":"AIAA Journal, Ahead of Print. <br/>","PeriodicalId":7722,"journal":{"name":"AIAA Journal","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141507117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Efficient Design Methods for Variable-Angle-Tow Composite Toroidal Pressure Vessels 变角拖曳复合环形压力容器的高效设计方法
IF 2.5 3区 工程技术
AIAA Journal Pub Date : 2024-06-25 DOI: 10.2514/1.j064075
Shahrzad Daghighi, Giovanni Zucco, Paul M. Weaver
{"title":"Efficient Design Methods for Variable-Angle-Tow Composite Toroidal Pressure Vessels","authors":"Shahrzad Daghighi, Giovanni Zucco, Paul M. Weaver","doi":"10.2514/1.j064075","DOIUrl":"https://doi.org/10.2514/1.j064075","url":null,"abstract":"AIAA Journal, Ahead of Print. <br/>","PeriodicalId":7722,"journal":{"name":"AIAA Journal","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141507118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
More General Wall Pressure Spectra Models: Combining Feature Engineering with Evolutionary Algorithms 更通用的壁压频谱模型:将特征工程与进化算法相结合
IF 2.5 3区 工程技术
AIAA Journal Pub Date : 2024-06-10 DOI: 10.2514/1.j063322
Shubham Shubham, Richard D. Sandberg, A. Kushari
{"title":"More General Wall Pressure Spectra Models: Combining Feature Engineering with Evolutionary Algorithms","authors":"Shubham Shubham, Richard D. Sandberg, A. Kushari","doi":"10.2514/1.j063322","DOIUrl":"https://doi.org/10.2514/1.j063322","url":null,"abstract":"This paper presents an improved mathematical expression for semi-empirical wall pressure spectra modeling based on gene expression programming (GEP). The main focus of this work is to obtain a model that applies to a wide range of cases in terms of parameters and the source of data. The dataset comprises flat plate and airfoil cases with adverse and favorable pressure gradients at various Reynolds numbers. First, a characterization of the dataset is performed to understand the low-dimensional distribution of parameters. Then, a feature importance study is conducted to choose the most suitable model input variables from the exhaustive list of nondimensional parameters. The GEP algorithm is modified to ensure that trained models adhere to the basic structure of previously published semi-empirical models. Following training on the diverse database, the new model is compared against existing, best-performing empirical models to quantify the performance improvements. The models are tested on cases with completely different configurations and parameter ranges, unseen during training, and maintain their superior performance. Finally, a comparison is made between models developed with GEP and neural networks in terms of their efficacy, complexity, and interpretability.","PeriodicalId":7722,"journal":{"name":"AIAA Journal","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141363632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Characterization of a Cavity Flameholding Solid-Fuel Ramjet in an Optical Combustor 光学燃烧器中空腔火焰保持固体燃料冲压式喷气机的特性分析
IF 2.5 3区 工程技术
AIAA Journal Pub Date : 2024-06-10 DOI: 10.2514/1.j063964
Dominic F. Gallegos, Ethan Schlussel, Greg Young
{"title":"Characterization of a Cavity Flameholding Solid-Fuel Ramjet in an Optical Combustor","authors":"Dominic F. Gallegos, Ethan Schlussel, Greg Young","doi":"10.2514/1.j063964","DOIUrl":"https://doi.org/10.2514/1.j063964","url":null,"abstract":"Three fuel grain geometries were investigated in a two-dimensional, optically accessible solid fuel ramjet combustor to improve the understanding of the internal ballistics as it pertains to flameholding and overall performance. Two-cavity flameholding-configured fuel grains demonstrated increased flameholding and similar performance to the baseline flat fuel grain. Optical diagnostics such as high-speed CH* chemiluminescence and high-speed three-color camera pyrometry were utilized to measure and analyze the emissive species to draw conclusions about the reacting flowfield. Additionally, optical access afforded the ability to determine spatially resolved regression rates within the flameholding region of each fuel grain. The measured fuel grain regression rates demonstrated similar performance between the three configurations; however, the spatial distribution of the regression rates resulting from the high local heat flux due to the cavity corner is postulated to be the driving factor in increasing the flameholding capability of the cavity fuel grains.","PeriodicalId":7722,"journal":{"name":"AIAA Journal","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141363472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Gradient-Based Optimization Method for Experimental Modal Parameter Estimation with Finite Element Model 利用有限元模型进行实验模态参数估计的梯度优化方法
IF 2.5 3区 工程技术
AIAA Journal Pub Date : 2024-06-08 DOI: 10.2514/1.j063967
Zhaoyi Xu, Gangtie Zheng
{"title":"Gradient-Based Optimization Method for Experimental Modal Parameter Estimation with Finite Element Model","authors":"Zhaoyi Xu, Gangtie Zheng","doi":"10.2514/1.j063967","DOIUrl":"https://doi.org/10.2514/1.j063967","url":null,"abstract":"This paper presents a novel gradient-based optimization algorithm for improving the accuracy of experimentally estimated modal parameters with the assistance of finite element models. Initially, we recast the discrete vibration response equation into a matrix form and formulate the parameter estimation problem in modal analysis as an optimization problem. Then the problem is solved with a gradient-based iterative algorithm, which explicitly exhibits the closed form of gradients used in optimization. Initial values for this iteration are parameters derived from finite element models, since every important engineering structure should be analyzed with a finite element model before it is constructed. Subsequently, the performance of this algorithm is validated by both pure numerical experiments, which simulate the physical world, and experiments using real measurement data gathered by sensors in the real physical world. The algorithm’s performance is further enhanced by incorporating gradient clipping and an adaptive iteration threshold. As a comparison, a discussion on classical least-squares time-domain method for the problem is provided. For practical applications, the Shi–Tomasi corner detection and Lucas–Kanade optical flow methods are deployed to detect corner points from videos taken during the vibration of a structure and track the motion of these points in the videos.","PeriodicalId":7722,"journal":{"name":"AIAA Journal","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141368326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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