Pub Date : 2026-02-01DOI: 10.1016/j.ast.2026.111778
Lei Wu , Tianyuan Liu , Zuoli Xiao
In this paper, a steady/unsteady integrated machine learning transition model is established via the divide-and-conquer (DaC) strategy, which covers a wide operating range of an airfoil from linear lift to deep stall. To consider the essential distinctions across different regions of the entire flow domain, a random forest binary classifier is adopted to detect the flow field as either intermittent spot or non-intermittent spot region. Two transitional intermittency factor regressors are crafted respectively within their own regions, thus facilitating the capture of crucial phenomenological details. Three airfoil geometries with different angles of attack, Mach numbers and Reynolds numbers are selected to fully validate the newly developed DaC model. The a posteriori results demonstrate that the DaC model aligns well with its benchmark counterpart across the full range of angles of attack, and can overcome the limitations of Non-DaC model in the stall stage of an airfoil frequently characterized by unsteady behavior. This divide-and-conquer-guided framework may advance the application of machine learning-based transition model to the airfoil design engineering, and potentially establish a generalizable strategy for modeling complex physics scenarios.
{"title":"A divide-and-conquer machine learning transition model for airfoil flows: From steady linear-lift to unsteady stall stage","authors":"Lei Wu , Tianyuan Liu , Zuoli Xiao","doi":"10.1016/j.ast.2026.111778","DOIUrl":"10.1016/j.ast.2026.111778","url":null,"abstract":"<div><div>In this paper, a steady/unsteady integrated machine learning transition model is established via the divide-and-conquer (DaC) strategy, which covers a wide operating range of an airfoil from linear lift to deep stall. To consider the essential distinctions across different regions of the entire flow domain, a random forest binary classifier is adopted to detect the flow field as either intermittent spot or non-intermittent spot region. Two transitional intermittency factor regressors are crafted respectively within their own regions, thus facilitating the capture of crucial phenomenological details. Three airfoil geometries with different angles of attack, Mach numbers and Reynolds numbers are selected to fully validate the newly developed DaC model. The <em>a posteriori</em> results demonstrate that the DaC model aligns well with its benchmark counterpart across the full range of angles of attack, and can overcome the limitations of Non-DaC model in the stall stage of an airfoil frequently characterized by unsteady behavior. This divide-and-conquer-guided framework may advance the application of machine learning-based transition model to the airfoil design engineering, and potentially establish a generalizable strategy for modeling complex physics scenarios.</div></div>","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"173 ","pages":"Article 111778"},"PeriodicalIF":5.8,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174901","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 : 2026-02-01DOI: 10.1016/j.ast.2025.111338
Meng Wang , Guangquan Zhao , Xiyuan Peng
{"title":"Corrigendum to “Enhanced High-Fidelity and Dynamic Modeling for Power Conditioning Units Synchronized with On-Orbit Satellites” [Aerospace Science and Technology, volume 162 (2025) 110213]","authors":"Meng Wang , Guangquan Zhao , Xiyuan Peng","doi":"10.1016/j.ast.2025.111338","DOIUrl":"10.1016/j.ast.2025.111338","url":null,"abstract":"","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"169 ","pages":"Article 111338"},"PeriodicalIF":5.8,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146188406","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 : 2026-02-01DOI: 10.1016/j.ast.2026.111835
Haochen Xiong , Hao Yan , Tao Zhang , Yancheng You
In designing the basic detonation flow field, achieving high performance primarily depends on selecting appropriate geometric parameters. In this study, the effects of geometric parameters, including the projection length of the induced surface, reference wedge angle, height of combustion chamber, and initial wedge angle on the flow characteristics and performance of the basic axisymmetric inward-turning detonation flow field were analyzed in detail. The analysis was conducted by solving the unsteady two-dimensional axisymmetric Euler equations coupled with a detailed chemical reaction model. Since the basic detonation flow field is influenced by multiple geometric parameters, investigating their coupling relationships is essential for advancing detonation engine engineering and identifying the key parameters that govern overall performance. Based on a response surface model, the coupling effects of geometric parameters on performance parameters were analyzed, and the dominant geometric parameters influencing each performance parameter were determined. Furthermore, the optimal basic detonation flow field was obtained using the NSGA-II algorithm. Under the constraint of maintaining the combustion chamber weight, the optimal design achieved a 2.3 % increase in total pressure recovery and a 2.7 % improvement in thrust potential gain compared with the original design.
{"title":"Multiple design parameters study on the flow characteristics of an inward turning detonation wave","authors":"Haochen Xiong , Hao Yan , Tao Zhang , Yancheng You","doi":"10.1016/j.ast.2026.111835","DOIUrl":"10.1016/j.ast.2026.111835","url":null,"abstract":"<div><div>In designing the basic detonation flow field, achieving high performance primarily depends on selecting appropriate geometric parameters. In this study, the effects of geometric parameters, including the projection length of the induced surface, reference wedge angle, height of combustion chamber, and initial wedge angle on the flow characteristics and performance of the basic axisymmetric inward-turning detonation flow field were analyzed in detail. The analysis was conducted by solving the unsteady two-dimensional axisymmetric Euler equations coupled with a detailed chemical reaction model. Since the basic detonation flow field is influenced by multiple geometric parameters, investigating their coupling relationships is essential for advancing detonation engine engineering and identifying the key parameters that govern overall performance. Based on a response surface model, the coupling effects of geometric parameters on performance parameters were analyzed, and the dominant geometric parameters influencing each performance parameter were determined. Furthermore, the optimal basic detonation flow field was obtained using the NSGA-II algorithm. Under the constraint of maintaining the combustion chamber weight, the optimal design achieved a 2.3 % increase in total pressure recovery and a 2.7 % improvement in thrust potential gain compared with the original design.</div></div>","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"173 ","pages":"Article 111835"},"PeriodicalIF":5.8,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174900","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 : 2026-02-01DOI: 10.1016/j.ast.2025.111568
Zhipeng Li, Yi Sun, Qinpeng Gu
{"title":"Corrigendum to “Experimental Investigation of the Effect of Concave Endwall Profiling on the Aerodynamic Performance of a Transonic Highly-Loaded Turbine Cascade” [AESCTE 168 (2026) 111274]","authors":"Zhipeng Li, Yi Sun, Qinpeng Gu","doi":"10.1016/j.ast.2025.111568","DOIUrl":"10.1016/j.ast.2025.111568","url":null,"abstract":"","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"169 ","pages":"Article 111568"},"PeriodicalIF":5.8,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146188466","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 : 2026-02-01DOI: 10.1016/j.ast.2026.111833
Duan Jianing , Feng Feng , Guan Yiwen
Pintle fracture failure is one of the critical failure modes in thrust-controlled solid rocket motors (TCSRM), and the unclear fracture mechanism has severely restricted their application. To clarify the underlying mechanism of pintle fracture, a failure analysis framework is proposed that combines fractography physicochemical experiments with multiphysics fluid-thermal-structural interaction (FSI) numerical simulations. First, a series of fractography physicochemical experiments, including macro- and micro-morphology observations, microstructural analysis, and chemical composition detection is conducted to determine the fracture process, causes, and mechanism of the pintle. Subsequently, one-way FSI simulations are performed to evaluate the fluid dynamics and the temperature, deformation, and stress distributions of the pintle, thereby clarifying the thermo-mechanical loading history associated with fracture. Finally, the pintle structure is modified, and the predictive simulations are validated through a ground firing test. The results show that the pintle failed by intergranular brittle fracture, with structural deficiency and severe thermal shock being the primary cause for failure. The FSI numerical simulations exhibit high consistency with the firing test of the TCSRM in predicting failure location and failure time of the pintle, as well as in assessing pintle structural integrity. The proposed framework provides a comprehensive understanding of the fracture failure mechanism and a quantitative numerical method for evaluating pintle structural integrity, offering practical guidance for the engineering design of pintles in TCSRM.
{"title":"Fracture analysis and design modification of the pintle in a thrust-controlled solid rocket motor: Experiments and numerical simulations","authors":"Duan Jianing , Feng Feng , Guan Yiwen","doi":"10.1016/j.ast.2026.111833","DOIUrl":"10.1016/j.ast.2026.111833","url":null,"abstract":"<div><div>Pintle fracture failure is one of the critical failure modes in thrust-controlled solid rocket motors (TCSRM), and the unclear fracture mechanism has severely restricted their application. To clarify the underlying mechanism of pintle fracture, a failure analysis framework is proposed that combines fractography physicochemical experiments with multiphysics fluid-thermal-structural interaction (FSI) numerical simulations. First, a series of fractography physicochemical experiments, including macro- and micro-morphology observations, microstructural analysis, and chemical composition detection is conducted to determine the fracture process, causes, and mechanism of the pintle. Subsequently, one-way FSI simulations are performed to evaluate the fluid dynamics and the temperature, deformation, and stress distributions of the pintle, thereby clarifying the thermo-mechanical loading history associated with fracture. Finally, the pintle structure is modified, and the predictive simulations are validated through a ground firing test. The results show that the pintle failed by intergranular brittle fracture, with structural deficiency and severe thermal shock being the primary cause for failure. The FSI numerical simulations exhibit high consistency with the firing test of the TCSRM in predicting failure location and failure time of the pintle, as well as in assessing pintle structural integrity. The proposed framework provides a comprehensive understanding of the fracture failure mechanism and a quantitative numerical method for evaluating pintle structural integrity, offering practical guidance for the engineering design of pintles in TCSRM.</div></div>","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"173 ","pages":"Article 111833"},"PeriodicalIF":5.8,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174891","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 : 2026-01-31DOI: 10.1016/j.ast.2026.111824
Chang Li , Xin Zhang , Zhihong Zhou
The anti/de-icing technology using a DBD (dielectric barrier discharge) plasma actuator has attracted extensive attention. However, the underlying anti/de-icing mechanism of such plasma actuators remains insufficiently addressed, and the interaction between droplets and the plasma actuator has not been investigated in detail. To address the aforementioned research gaps, the flow field induced by a symmetric DBD plasma actuator in the presence of a single sessile droplet was studied using a high-speed particle image velocimetry (PIV) system. The results indicate that the droplet reduces the discharge intensity of the plasma actuator, leading to a decrease in the wall-jet velocity induced by the actuator during the droplet's stable stage. Nevertheless, the instability of the separated shear layer is enhanced, generating a series of roll-up vortices. Additionally, a train of coherent structures is formed near the wall during the droplet distortion stage. Notably, the broken droplet acts as a "virtual electrode" and alters the actuator's discharge position. Finally, in the water film stage, the broken droplet evolves into a water film-this not only shifts the discharge position but also transforms the discharge mode from steady (in the dry state) to unsteady within the water film.
{"title":"Flow field created by a plasma actuator in quiescent air under the influence of a single sessile droplet","authors":"Chang Li , Xin Zhang , Zhihong Zhou","doi":"10.1016/j.ast.2026.111824","DOIUrl":"10.1016/j.ast.2026.111824","url":null,"abstract":"<div><div>The anti/de-icing technology using a DBD (dielectric barrier discharge) plasma actuator has attracted extensive attention. However, the underlying anti/de-icing mechanism of such plasma actuators remains insufficiently addressed, and the interaction between droplets and the plasma actuator has not been investigated in detail. To address the aforementioned research gaps, the flow field induced by a symmetric DBD plasma actuator in the presence of a single sessile droplet was studied using a high-speed particle image velocimetry (PIV) system. The results indicate that the droplet reduces the discharge intensity of the plasma actuator, leading to a decrease in the wall-jet velocity induced by the actuator during the droplet's stable stage. Nevertheless, the instability of the separated shear layer is enhanced, generating a series of roll-up vortices. Additionally, a train of coherent structures is formed near the wall during the droplet distortion stage. Notably, the broken droplet acts as a \"virtual electrode\" and alters the actuator's discharge position. Finally, in the water film stage, the broken droplet evolves into a water film-this not only shifts the discharge position but also transforms the discharge mode from steady (in the dry state) to unsteady within the water film.</div></div>","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"173 ","pages":"Article 111824"},"PeriodicalIF":5.8,"publicationDate":"2026-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146089652","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 : 2026-01-31DOI: 10.1016/j.ast.2026.111801
Francesco De Vanna
This work presents a high-resolution large-eddy simulation (LES) database for transonic film cooling representative of modern aero-engine turbine environments. A canonical flat-plate configuration with a single round hole is investigated across six operating conditions that combine low, moderate, and high blowing ratios with two coolant-to-recovery temperature ratios. This parametric sweep isolates momentum- and buoyancy-driven mechanisms that govern jet attachment, plume lift-off, and surface protection. The simulations resolve the incoming turbulent boundary layer and the full jet-in-crossflow interaction, yielding scale-resolved wall-pressure spectra, spanwise energy distributions, and turbulent-kinetic-energy budgets. These diagnostics expose the spectral signatures of plume detachment, the redistribution of turbulent energy between inner and outer shear layers, and the wall-normal migration of peak production within the jet-film interface under transonic conditions. By removing geometric complexity and retaining the essential physics, the resulting dataset provides a rigorous reference for the calibration and assessment of RANS and hybrid RANS-LES closures, wall-model formulations with mass injection, and reduced-order strategies for future gas-turbine aerothermal design. All results are released openly.
{"title":"Transonic film cooling for future aviation gas turbines: A high-fidelity large eddy simulations reference","authors":"Francesco De Vanna","doi":"10.1016/j.ast.2026.111801","DOIUrl":"10.1016/j.ast.2026.111801","url":null,"abstract":"<div><div>This work presents a high-resolution large-eddy simulation (LES) database for transonic film cooling representative of modern aero-engine turbine environments. A canonical flat-plate configuration with a single round hole is investigated across six operating conditions that combine low, moderate, and high blowing ratios with two coolant-to-recovery temperature ratios. This parametric sweep isolates momentum- and buoyancy-driven mechanisms that govern jet attachment, plume lift-off, and surface protection. The simulations resolve the incoming turbulent boundary layer and the full jet-in-crossflow interaction, yielding scale-resolved wall-pressure spectra, spanwise energy distributions, and turbulent-kinetic-energy budgets. These diagnostics expose the spectral signatures of plume detachment, the redistribution of turbulent energy between inner and outer shear layers, and the wall-normal migration of peak production within the jet-film interface under transonic conditions. By removing geometric complexity and retaining the essential physics, the resulting dataset provides a rigorous reference for the calibration and assessment of RANS and hybrid RANS-LES closures, wall-model formulations with mass injection, and reduced-order strategies for future gas-turbine aerothermal design. All results are released openly.</div></div>","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"173 ","pages":"Article 111801"},"PeriodicalIF":5.8,"publicationDate":"2026-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146095630","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 : 2026-01-31DOI: 10.1016/j.ast.2026.111790
Hui Ye , Junjie Cao , Xiaofei Yang , Shuyi Shao
In practical engineering, the disturbances and measurement errors encountered by unmanned aerial vehicles (UAVs) flying in confined spaces significantly undermine the performance of safety-critical controllers. To address the issue of violating safety constraints in scenarios where both compound disturbances and measurement errors coexist, this paper presents a novel safety-critical control framework which integrates disturbance observer (DO), nonlinear model predictive control (NMPC), control barrier function (CBF) for UAV in the confined environments. Specifically, we employ a refined observer to estimate constant wind disturbance and time-varying airflow disturbance induced by blades in confined environments. Furthermore, to deal with measurement and observation errors, a measurement-robust tunable CBF is proposed. This proposed method, as a constraint condition, improves the safety margin of the system during flight by utilizing two upper bounds of errors. Finally, the effectiveness of the proposed NMPC-CBF-DO control framework is demonstrated in the simulation and the real-world experiments. In the comparative experiment, the proposed method increased the obstacle avoidance success rate by 20% in restricted scenarios.
{"title":"Safety-critical model predictive control for quadcopter UAV subject to wind disturbances and measurement errors in confined environments","authors":"Hui Ye , Junjie Cao , Xiaofei Yang , Shuyi Shao","doi":"10.1016/j.ast.2026.111790","DOIUrl":"10.1016/j.ast.2026.111790","url":null,"abstract":"<div><div>In practical engineering, the disturbances and measurement errors encountered by unmanned aerial vehicles (UAVs) flying in confined spaces significantly undermine the performance of safety-critical controllers. To address the issue of violating safety constraints in scenarios where both compound disturbances and measurement errors coexist, this paper presents a novel safety-critical control framework which integrates disturbance observer (DO), nonlinear model predictive control (NMPC), control barrier function (CBF) for UAV in the confined environments. Specifically, we employ a refined observer to estimate constant wind disturbance and time-varying airflow disturbance induced by blades in confined environments. Furthermore, to deal with measurement and observation errors, a measurement-robust tunable CBF is proposed. This proposed method, as a constraint condition, improves the safety margin of the system during flight by utilizing two upper bounds of errors. Finally, the effectiveness of the proposed NMPC-CBF-DO control framework is demonstrated in the simulation and the real-world experiments. In the comparative experiment, the proposed method increased the obstacle avoidance success rate by 20% in restricted scenarios.</div></div>","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"173 ","pages":"Article 111790"},"PeriodicalIF":5.8,"publicationDate":"2026-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146095620","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 : 2026-01-31DOI: 10.1016/j.ast.2026.111831
Xuan Bai , Baigang Mi
To address the aerodynamic modeling challenges posed by strong nonlinearities and hysteresis effects in high-angle-of-attack maneuvers, this study takes the prepositive elliptical wing-main wing composite flow control configuration as the research object. A method is proposed that explicitly embeds physical information into a conditional long short-term memory neural network for aerodynamic parameter identification and unsteady aerodynamic model construction. Taking the improved unsteady aerodynamic state-space equation of the composite configuration as the prior physical constraint, the conditional long short-term memory neural network is synchronously introduced to capture the temporal dependence relationship. The outputs of the two branches are dynamically fused through learnable weights to achieve the collaborative optimization of physical consistency and data fidelity. Taking the two-dimensional prepositive elliptical wing-main wing composite configuration as the research object, the neural network is trained and tested based on the dataset generated by computational fluid dynamics that covers multiple design parameters and working conditions. The results show that the root mean squared error of the intelligent modeling method proposed in this paper is reduced by more than 45% and 47% on the training set and the validation set respectively compared with the traditional single model. When verifying the generalization ability, whether for interpolation or extrapolation, the correlation coefficients of the aerodynamic coefficient prediction are all better than 0.999, and the average relative error is reduced by more than 20%. This framework combines physical interpretability and data adaptability, providing a new interpretable and transferable paradigm for the high-precision prediction of unsteady aerodynamics in complex flow environments.
{"title":"Research on the modeling method of unsteady aerodynamics for composite configuration based on the physics-embedded long short-term memory neural network","authors":"Xuan Bai , Baigang Mi","doi":"10.1016/j.ast.2026.111831","DOIUrl":"10.1016/j.ast.2026.111831","url":null,"abstract":"<div><div>To address the aerodynamic modeling challenges posed by strong nonlinearities and hysteresis effects in high-angle-of-attack maneuvers, this study takes the prepositive elliptical wing-main wing composite flow control configuration as the research object. A method is proposed that explicitly embeds physical information into a conditional long short-term memory neural network for aerodynamic parameter identification and unsteady aerodynamic model construction. Taking the improved unsteady aerodynamic state-space equation of the composite configuration as the prior physical constraint, the conditional long short-term memory neural network is synchronously introduced to capture the temporal dependence relationship. The outputs of the two branches are dynamically fused through learnable weights to achieve the collaborative optimization of physical consistency and data fidelity. Taking the two-dimensional prepositive elliptical wing-main wing composite configuration as the research object, the neural network is trained and tested based on the dataset generated by computational fluid dynamics that covers multiple design parameters and working conditions. The results show that the root mean squared error of the intelligent modeling method proposed in this paper is reduced by more than 45% and 47% on the training set and the validation set respectively compared with the traditional single model. When verifying the generalization ability, whether for interpolation or extrapolation, the correlation coefficients of the aerodynamic coefficient prediction are all better than 0.999, and the average relative error is reduced by more than 20%. This framework combines physical interpretability and data adaptability, providing a new interpretable and transferable paradigm for the high-precision prediction of unsteady aerodynamics in complex flow environments.</div></div>","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"173 ","pages":"Article 111831"},"PeriodicalIF":5.8,"publicationDate":"2026-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146095622","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}