Pub Date : 2026-02-11DOI: 10.1016/j.ast.2026.111912
Lyu Leqi, Jin Xin, Zhang Huiqiang
{"title":"Numerical investigation on the atomization process in a hydrogen-oxygen gas-liquid coaxial injector","authors":"Lyu Leqi, Jin Xin, Zhang Huiqiang","doi":"10.1016/j.ast.2026.111912","DOIUrl":"https://doi.org/10.1016/j.ast.2026.111912","url":null,"abstract":"","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"32 1","pages":""},"PeriodicalIF":5.6,"publicationDate":"2026-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146153056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design and Characteristics of Dredging Thermal Protection Structure Under High Temperature Gradient","authors":"Qianyang Sun, Wenxuan Liu, Jun Wu, Dahai Zhang, Fangzhou Lu, Peifei Xu, Qingguo Fei","doi":"10.1016/j.ast.2026.111886","DOIUrl":"https://doi.org/10.1016/j.ast.2026.111886","url":null,"abstract":"","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"317 1","pages":""},"PeriodicalIF":5.6,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146153334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Investigating nacelle intake under crosswind in whole-aircraft models is a frontier topic in modern aerospace propulsion research. However, investigations into the nonlinear flow characteristics of the leeward side nacelle intake influenced by fuselage interference remain scarce, and accurate modeling of this nonlinear flow continues to pose a significant challenge. Although data-driven approaches are cheap and efficient solutions, achieving high-fidelity reconstruction and prediction under small sample conditions remains a major obstacle. This paper investigates the causes of differences in the intake characteristics of windward and leeward side nacelles and evaluates the data-driven modeling performance of representative reduced-order models and deep learning methods, proposing a nonlinear hybrid prediction model framework. The model first extracts the dominant features of the unsteady nacelle intake flow through the proper orthogonal decomposition. The temporal evolution of the modal coefficients is subsequently modeled nonlinearly using neural networks. Finally, global error correction and uncertainty quantification are applied to the predicted flow field. The paper validates the approaches via a numerical example of a typical narrow-body commercial aircraft. The results show that the constructed hybrid prediction model exhibits excellent accuracy and stability across different training set proportions. Given that small sample conditions are a common limitation in aerospace engineering, this approach holds great potential for application in unsteady aerodynamic analysis and rapid evaluation of engine nacelles.
{"title":"Comparative Analysis of Nonlinear Data-Driven Modeling of Inlet Distortion for Nacelle Air-Intake System","authors":"Xiao Yuan, Chenxing Hu, Hao Liu, Fei Yang, Jiaao Gu, Zhichao Chai","doi":"10.1016/j.ast.2026.111890","DOIUrl":"https://doi.org/10.1016/j.ast.2026.111890","url":null,"abstract":"Investigating nacelle intake under crosswind in whole-aircraft models is a frontier topic in modern aerospace propulsion research. However, investigations into the nonlinear flow characteristics of the leeward side nacelle intake influenced by fuselage interference remain scarce, and accurate modeling of this nonlinear flow continues to pose a significant challenge. Although data-driven approaches are cheap and efficient solutions, achieving high-fidelity reconstruction and prediction under small sample conditions remains a major obstacle. This paper investigates the causes of differences in the intake characteristics of windward and leeward side nacelles and evaluates the data-driven modeling performance of representative reduced-order models and deep learning methods, proposing a nonlinear hybrid prediction model framework. The model first extracts the dominant features of the unsteady nacelle intake flow through the proper orthogonal decomposition. The temporal evolution of the modal coefficients is subsequently modeled nonlinearly using neural networks. Finally, global error correction and uncertainty quantification are applied to the predicted flow field. The paper validates the approaches via a numerical example of a typical narrow-body commercial aircraft. The results show that the constructed hybrid prediction model exhibits excellent accuracy and stability across different training set proportions. Given that small sample conditions are a common limitation in aerospace engineering, this approach holds great potential for application in unsteady aerodynamic analysis and rapid evaluation of engine nacelles.","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"42 1","pages":""},"PeriodicalIF":5.6,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146146828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-10DOI: 10.1016/j.ast.2026.111894
Zhouqin Fan, Jilong Lyu, Fanfu Kong, Ruixuan Ma
{"title":"Towards Efficient Wide-Speed-Range Combustion Simulation: An ANN-FGM Model and Its Validation","authors":"Zhouqin Fan, Jilong Lyu, Fanfu Kong, Ruixuan Ma","doi":"10.1016/j.ast.2026.111894","DOIUrl":"https://doi.org/10.1016/j.ast.2026.111894","url":null,"abstract":"","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"101 1","pages":""},"PeriodicalIF":5.6,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146153060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"On the Sensitivity of Endwall Contouring of HPT Cascade to Turbulence Closure and Optimization Constraints at Design and Off-Design Conditions","authors":"Krishma Rajesh Mehta, Aditya Lakhotia, Vasudeva Tushar Nilkar, Jagdish Bagre, Nagabhushana Rao Vadlamani","doi":"10.1016/j.ast.2026.111856","DOIUrl":"https://doi.org/10.1016/j.ast.2026.111856","url":null,"abstract":"","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"9 1","pages":""},"PeriodicalIF":5.6,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146153020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-10DOI: 10.1016/j.ast.2026.111847
Jiahui Qiu, Min Zhang, Juan Du, Mehdi Vahdati
{"title":"Effects of combined inlet pressure and temperature distortion on the internal flow of a transonic compressor","authors":"Jiahui Qiu, Min Zhang, Juan Du, Mehdi Vahdati","doi":"10.1016/j.ast.2026.111847","DOIUrl":"https://doi.org/10.1016/j.ast.2026.111847","url":null,"abstract":"","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"7 1","pages":""},"PeriodicalIF":5.6,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146153333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-10DOI: 10.1016/j.ast.2026.111892
Z.H. Fu, W. Zhang, Y.F. Zhang
{"title":"A Variable Curvature Deep Shell Model for Nonlinear Vibrations of Twisted Bilayer Graphene Reinforced Titanium Composites","authors":"Z.H. Fu, W. Zhang, Y.F. Zhang","doi":"10.1016/j.ast.2026.111892","DOIUrl":"https://doi.org/10.1016/j.ast.2026.111892","url":null,"abstract":"","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"48 1","pages":""},"PeriodicalIF":5.6,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146153021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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