Top Read Articles

    Published in last 1 year |  In last 2 years |  In last 3 years |  All
    Please wait a minute...
    For Selected: Toggle Thumbnails
    Research on lumbar spine injury of aircraft occupants under vertical impact
    based on THUMS
    SHI Xiaopenga , LI Peiyaob , GUO Kai c , CUI Shurui c , XIE Jianga
    Journal of Civil Aviation University of China    2025, 43 (4): 1-9.  
    Abstract2387)            Save
    Under aircraft crash impacts, lumbar spine injury is a key factor affecting the survival ability of aircraft occupants
    (abbreviated as occupants). This article aims to investigate the lumbar spine injuries of occupants under vertical
    impact loads. Firstly, the high-precision numerical dummy THUMS (total human model for safety) was used to
    study the effects of loading peak and loading time of the impact load acceleration on the biomechanical injuries
    to the lumbar spine of occupants. Secondly, the differences in lumbar spine dynamic response between THUMS
    and Hybrid Ⅲ dummies under vertical impact conditions were analyzed. Finally, the biomechanical injury of the
    occupants′ lumbar spine was studied from a microscopic perspective. The study showed that with change of constant velocity, the peak value of axial load of the occupants′ lumbar spine increases greatly with an increase in
    loading peak of acceleration, while the peak value of bending moment of the lumbar spine increases little. The
    peak value of axial load of the occupants′ lumbar spine is positively correlated with the speed of energy accumulation. When the loading time is excessively short, the inertia effect limits lumbar flexion, resulting in a smaller
    bending moment of the lumbar spine. The largest axial load of lumbar spine appears at the L5 cross-section and
    the largest bending moment of lumbar spine occurs at the L1 cross-section, the assessment of lumbar spine injury
    of occupants should comprehensively consider the effects of axial compression force and bending moment. From
    a biomechanical perspective, the risk of injury to the cortical bone and key ligaments of the lumbar spine is the highest.
    Reference | Related Articles | Metrics | Comments0
    Progress on civil aircraft vibration comfort design
    SHU Juncheng, , HE Erming, , YIN Menghan, , ZHAO Guanchen,
    Journal of Civil Aviation University of China    2025, 43 (2): 1-7.  
    Abstract2341)            Save
    In the competition of the civil aviation market, passenger comfort is paramount. In order to improve the vibration
    comfort of civil aircraft and enhance the market competitiveness of Chinese civil aircraft, this article proposed
    methods and ideas for solving civil aircraft vibration problems from the perspective of civil aircraft design process.
    Firstly, based on the commercial operation of China′s domestically developed regional aircraft ARJ21 and large
    aircraft C919 with independent intellectual property rights, the main vibration problems of China′s self-developed
    civil aircraft were introduced in detail. Secondly, the multi-source vibration characteristics of civil aircraft and
    their transmission paths on the body were analyzed, and the methods of multi-source vibration contribution analysis and cabin vibration comfort evaluation were introduced. Subsequently, in order to prioritize vibration comfort
    requirements in the design phase of civil aircraft, a two-stage vibration reduction index allocation process based on
    multi-source vibration contribution analysis was proposed, and the basic idea of civil aircraft vibration comfort design was constructed. Finally, the research direction of vibration comfort design for civil aircraft was prospected,
    and the technical measures and ideas to improve passenger comfort were explored, in order to provide useful inspiration for the vibration comfort design of Chinese civil aircraft.
    Reference | Related Articles | Metrics | Comments0
    Experimental and simulation on emergency evacuation of passenger in wide-body aircraft under tilted attitude
    CHENG Ming, WEI Keyu
    Journal of Civil Aviation University of China    2025, 43 (3): 1-7.  
    Abstract2248)            Save
    To explore the influence of tilted attitude of wide-body aircraft on the emergency evacuation of cabin passenger, a
    combination of cabin partial evacuation test and full-size simulation test is used to analyze the key factors such as
    evacuation time. Based on the scenario construction theory and social force model, the relevant parameters in the
    full-size simulation model are modified with real test data of partial evacuation, and then the full-size simulation
    model is used to conduct the simulation test of passenger evacuation under cabin tilted attitude, and the increase
    model of the average evacuation time of tilted attitude is established. The test data show that the inclination attitude
    angle of the aircraft has an effect on the evacuation process and efficiency. Under pitch attitude, pitch ±5 degrees
    has a positive effect on the evacuation efficiency, evacuation efficiency is -0.044 at pitch -10 degrees. Under
    roll posture, roll angle has a significant negative correlation with evacuation efficiency, and the evacuation efficiency is -0.073 at roll ±10°. The results show that the data deviation between simulation model and real test of partial
    evacuation is 6.54%, which is in the acceptable range. The full-size simulation model can accurately simulate the
    effects and change rules of passenger emergency evacuation under the tilted attitude of the cabin, and can provide
    references for the safety evaluation of the design, manufacture and operation of passenger aircraft.
    Reference | Related Articles | Metrics | Comments0
    LightGBM-based phased multimodal trajectory prediction method
    Journal of Civil Aviation University of China    2026, 44 (1): 1-9.  
    Abstract2141)      PDF(pc) (1224KB)(105)       Save
    as insufficient data diversity, dificulty in acquiringcritical data, high model complexity and poor generalization, this paper proposes a light gradient boosting ma-chine (LightGBM)-based phased multimodapn method (LightGBM-based PMTPM). Themethod can intelligently identify the flight phabased on data from the aircraft's own sensors,predict the 4D trajectory and real-time qualig an onboard computer. Experimental resultsshow that, during all flight phases, the LightGoutperforms the back propagation neural net-work-based phased multimodal trajectory predN-based PMTPM) in predictive performance,with root mean square error (RMSE) reductions of 64.86%, 13.15%, 80.88%, 77.46%, 86.45%, 3.46% and19.22%, respectively. The average evaluation time of the LighiGBM-based PMTPM is 59.890 ms, meeting theaccuracy and real-time requirements for 4D trajectory prediction of aircraft.
    Related Articles | Metrics | Comments0
    Design of aircraft cabin passenger layout scheme based on infectious disease model
    GU Runping, ZHANG Yangzong, LIU Jiaming
    Journal of Civil Aviation University of China    2025, 43 (3): 32-37.  
    Abstract2114)            Save
    During the spread of the epidemic, regarding the risk of passengers of mutual infection in the aircraft cabin, it is
    very necessary to optimize the layout scheme of passengers in the cabin and reduce the virus infection probability of
    passenger. By studying the law of virus transmission in the aircraft cabin, this paper analyzed the influencing
    factors of the probability of individuals being infected by the virus and the virus shedding rate in the cabin. The
    match between passenger and seat was used as the decision variable, and the minimum sum of the cabin passengers
    affected by the virus shedding rate of other passengers around was used as the objective function. Based on the
    characteristics of passenger group flight, a allocation model for the passenger group cabin seat was established. This
    paper designed an improved genetic algorithm, solved the model, and realized the algorithm using Matlab. Taking
    A320 aircraft as an example, three passenger cases with different group layouts were tested. The results showed that
    the proposed model and algorithm can provide an optimized seat allocation scheme within an acceptable time and
    reduce the probability of infection among passengers.
    Reference | Related Articles | Metrics | Comments0
    Research progress on the application of CF3I in substituting airborne Halon
    fire-extinguishing agent
    CUI Wenyao
    Journal of Civil Aviation University of China    2025, 43 (4): 10-14.  
    Abstract2046)            Save
    The airborne Halon fire-extinguishing agent in aircraft has been restricted in production and phased out within a
    specified period by international conventions due to its ozone depleting effects. Trifluoroiodomethane (CF3I) is
    considered as one of the most promising Halon alternatives due to its comparable efficiency of fire-extinguishing
    to Halon, low ozone depletion potential (ODP) and global warming potential (GWP). However, concerns regarding
    its cardiac sensitization have limited its usage to uninhabited areas. In this work, the feasibility study of CF3I replacing airborne Halon fire-extinguishing agent is firstly sorted out. Then, the current research progress on the
    design of CF3I fire-extinguishing system is summarized. Finally, the research direction of airborne CF3I fire-extinguishing device is prospected. This study has important practical significance for the research and development
    of domestic large aircraft Halon replacement technology and fire-extinguishing equipment.
    Reference | Related Articles | Metrics | Comments0
    Research on the resilience evaluation of airport running and sliding system
    under snowfall conditions
    CHENG Guoyong, TIAN Yimeng
    Journal of Civil Aviation University of China    2025, 43 (4): 50-55.  
    Abstract2028)            Save
    In response to the prominent problems faced by most large civil aviation airports in China, such as capacity saturation and high operational pressure, as well as the weak resilience research in China′s civil aviation infrastructure field under unfavorable meteorological conditions, a 4E airport in North China is taken as the research object, firstly, the running and sliding system simulation model of this airport is established by Anylogic simulation
    tool, and the performance response function F(t) of the running and sliding system is constructed based on
    three parameters: the total number of take-off and landing sorties completed up to t hour N(t), the total number
    of take-off and landing sorties within t hour nt and the average taxiing time T(t). Secondly, on this basis, according to the basic concept of performance response function method, the resilience index R of running and sliding
    system is proposed. Then, further referring to the arithmetic mean and one standard deviation results of airport resilience index from previous research, a 5-level classification standard for the resilience level of the running and
    sliding system is proposed, including low, relatively low, medium, relatively high, and high resilience. Finally,
    according to the above research, it is concluded that the resilience level of running and sliding system fluctuates
    due to the influence of flight arrangement density, and the airport performs well under short -term and small
    snowfall conditions, where the resilience index is above 0.680 0. However, the resilience level of the system
    needs to be improved under long-term and heavy snowfall conditions, and the resilience index is only 0.472 1
    under the most unfavorable conditions. This study can provide references for the research and application of the
    resilience theory of civil aviation infrastructure.
    Reference | Related Articles | Metrics | Comments0
    Two-level matching algorithm for image features based on CA-SIFT
    JIAO Weidong, JIAO Yizhe
    Journal of Civil Aviation University of China    2025, 43 (2): 73-82.  
    Abstract1970)            Save
    To address the problems of loss of image spectral information, low matching accuracy and large computational effort in the process of color image matching by the scale invariant feature transform (SIFT) algorithm in Euclidean
    space, an image matching algorithm based on CA-SIFT is proposed using the expressiveness of Clifford algebra
    (CA) for multidimensional space. Firstly, the image is transformed to CA space representation, while retaining the
    image space and spectral information, and the metric function is constructed by the inner product operation of the
    conformal geometric algebra to improve the efficiency of feature point search and detect feature points in CA space.
    Secondly, a two-stage image feature matching strategy is adopted, the CA-SIFT feature description vector is converted into a hash code, and the coarse matching results are obtained by brute force matching. Finally, a gridbased motion statistics (GMS) method is used to complete the fine matching. The experimental results show that the
    proposed algorithm outperforms the SIFT algorithm, and the number of extracted feature point pairs is improved
    nearly 54%. In terms of image matching, the average matching accuracy reaches over 98%, achieving a highly accurate and applicable image matching method for most scenes.
    Reference | Related Articles | Metrics | Comments0
    Airspace capacity evaluation of wide range air route network based on
    improved Euler model
    GAO Wei, MU Rong
    Journal of Civil Aviation University of China    2025, 43 (3): 24-31.  
    Abstract1968)            Save
    Aiming at the high complexity of airspace capacity evaluation of wide range air route network, a method for fast
    evaluating airspace capacity of wide range air route network was proposed. Firstly, the airports, terminal areas and
    sectors in the airspace were taken as nodes, and the network edge was determined according to whether there was
    traffic flow between nodes. The airspace topology network of air route network based on airport, terminal areas and
    sector nodes was obtained to reduce the airspace dimension of the air route network. Secondly, the airports, terminal
    areas and sector nodes were used as the control unit of the Euler model to improve the Euler model, and the improved Euler model was used to model the traffic flow in the airspace topology network of the air route network.
    Then, a target optimization model was established based on node capacity, and used elite retention genetic algorithm to solve the traffic flow in the airspace topology network of the air route network. When the traffic flow in the
    airspace topology network of the air route network stabilizes, the airspace capacity of the air route network was obtained. Finally, the airspace capacity of a certain air route network was calculated in China and conducted simulation verification using total airspace and airport modeller (TAAM), proving the feasibility and accuracy of this
    method.
    Reference | Related Articles | Metrics | Comments0
    Network resilience assessment of airport running and sliding system based
    on cell transmission model
    ZHANG Yuhui, WEN Wen
    Journal of Civil Aviation University of China    2025, 43 (3): 53-61.  
    Abstract1965)            Save
    Runway capacity is one of the key elements that affect the normal operation of airport flight areas, and external disturbance events can cause a decrease in the dynamic capacity of the airport. According to airport aircraft taxiing
    rules, this article proposes a model to evaluate the resilience of airport flight area operation network after disturbance events, based on cell transmission model (CTM). Firstly, network performance parameters are obtained
    based on the CTM. Then, taking the number of aircraft waiting in the network and the efficiency of network operation as basic performance indicators, a resilience index for the dynamic changes of the resilience of the disturbed
    network is established. Finally, the CTM based network resilience assessment framework for airport running and
    sliding system is established, and operational data from Tianjin Binhai International Airport in 2019 are collected,
    processed, and analyzed. The research results indicate that the trend of simulated airport departure operation data
    is highly consistent with the actual departure operation data, with a simulation accuracy of over 90%, and can accurately describe the network traffic flow distribution of the airport running and sliding system. The two proposed resilience assessment indicators for airports can comprehensively reflect the complete dynamic change process of
    system network performance from degradation to recovery before and after disturbance events occur, providing new
    support for network management of airport running and sliding system.
    Reference | Related Articles | Metrics | Comments0
    Fuzzy comprehensive evaluation of terminal area operational efficiencybased on interval numbers
    XIE Chunsheng , GAO W anqi, , LU Fei
    Journal of Civil Aviation University of China    2026, 44 (1): 10-16.  
    Abstract1953)      PDF(pc) (1111KB)(70)       Save
    determined from the perspective of interval numberlistances, and weights are calculated using the ordered weighted averaging (OWA) operator combined with nor-nal distribution. Finally, the operational efficiency of terminal areas at domestic airports is evaluated based onthe established evaluation system. Taking four typical airports in the Beijing-Tianjin-Hebei region, namely Bei-jing Capital Intemational Airport, Beijing Daxing Intemational Airport, Tianjin Binhai International Airport, aneShijiazhuang Zhengding Intemational Airport, as examples, the terminal area operational efficiency is evaluated,resulting in ratings of good, good, poor, and poor, respectively. The research results show that the evaluation out-comes align well with the actual operating conditions of the terninal areas, verifying the feasibility of the methodproposed in this paper.
    Related Articles | Metrics | Comments0
    Experimental study of the effect of high temperature environment in the cabin on
    civil aviation flight crews
    SHEN Haiminga , REN Jiawei b , SHEN Hao , WANG Yanqingb
    Journal of Civil Aviation University of China    2025, 43 (4): 22-28.  
    Abstract1945)            Save
    The Mechanical Systems Harmonization Working Group (MSHWG) was tasked by the Federal Aviation Administration (FAA) to propose a new set of standards for acceptable high-temperature environments in the cabin based on
    the core temperature of the human body. To investigate the impact of this standard on the physiological indicators
    and behavioral abilities of Chinese flight crews, this study simulated the high -temperature environment of the
    cockpit in an artificial climate chamber and conducted a control experiment using healthy male flight trainees aged
    18-25 and ordinary college students. Wireless physiological equipment was used to monitor changes in human
    physiological indicators at different core temperatures of the human body and time, and a neurobehavioral evaluation system was used to assess changes in human behavioral ability indicators. The experimental results showed
    that human body core temperature, skin temperature and heart rate increased with rising environment temperature,
    and they are all within the physiological tolerance range of the human body. The arterial and venous oxygen saturation decreased with increasing environment temperature, but with no statistical difference. There were no significant changes in any behavioral abilities of the human body under different core temperature-times conditions, except for visual retention ability and the differences were not statistically significant. The core temperature limit values of the human body provided by MSHWG have a safe impact on the physiological load and behavioral abilities of flight crews.
    Reference | Related Articles | Metrics | Comments0
    Analysis of factors affecting terminal safety resilience based on
    DEMATEL-ISM model
    SONG Yang a , WANG Ruiqi b , ZHANG Peng b
    Journal of Civil Aviation University of China    2025, 43 (2): 52-57.  
    Abstract1943)            Save
    To promote the construction of terminal safety resilience and improve the level of terminal safety management, the
    concept of "safety resilience" is introduced into terminal safety management, and the factors affecting the safety resilience of the terminal are analyzed using the integrated method of decision-making trial and evaluation laboratory
    (DEMATEL) and interpretative structural model (ISM). Firstly, the definition of terminal safety resilience is proposed, and the indicator system of terminal safety resilience influencing factors is constructed centered on the monitoring ability, resistance ability, emergency response ability and recovery ability demonstrated with its operation.
    Then, the DEMATEL-ISM model is established, and the DEMATEL method is used to calculate the degree of influence, the degree of being influenced, the degree of center, the degree of cause, and the causal attributes between
    the factors, and the ISM method is used to divide their hierarchical structure. Finally, Terminal A of a domestic airport is taken as an example for model validation. The results indicate that the fundamental influencing factor of terminal safety resilience is the establishment of a terminal safety resilience mechanism, which is consistent with the
    actual operation of Terminal A. This validates the effectiveness and reliability of the model and provides decision making and theoretical support for terminal safety management.
    Reference | Related Articles | Metrics | Comments0
    Research on the evolution of international freight rates and taxes in civil aviation
    GAO Chao, , YU Zhao, , ZHANG Honghai , , TIAN Feng,
    Journal of Civil Aviation University of China    2025, 43 (4): 62-66.  
    Abstract1914)            Save
    Civil aviation international freight rates and taxes are an important source of increasing national fiscal revenue, but
    due to differences in tax policies among different countries and regions, as well as differences in tax rules among
    different airlines, civil aviation international freight rates and taxes need to be calculated through multiple channels
    and data sources, which greatly reduces user experience. To provide effective theoretical and practical guidance for
    industry-related personnel, this article is based on the changes in international freight rates and taxes calculation
    rules and methods. Firstly, the evolution process of civil aviation international freight rates and taxes from manual
    calculation to automation and intelligence is systematically reviewed, with a focus on the series of work carried out
    by Airline Tariff Publishing Company (ATPCO) in establishing unified technical specifications and management
    standards for civil aviation international freight rates and taxes. Secondly, a work case of TravelSky Technology
    Limited (abbreviated as China TravelSky) implementing automatic calculation of taxes and fees in civil aviation
    international fare search was introduced. Finally, a comprehensive analysis was conducted on the impact of new
    taxes, new technologies, and new policies on the international freight rates and taxes of civil aviation.
    Reference | Related Articles | Metrics | Comments0
    Review of key technologies and methods for secure sharing of civil aviation data
    DENG Wua , LI Xinyanb , ZHOU Xiangbing , ZHAO Huimina
    Journal of Civil Aviation University of China    2025, 43 (2): 8-18.  
    Abstract1893)            Save
    This paper provides an in-depth analysis of the current research status and technological advancements in civil
    aviation data sharing. Firstly, this article outlines the basic framework and core elements of civil aviation data sharing, followed by a detailed discussion of several cutting-edge technologies and their applications. Among them, the
    system wide information management (SWIM) serves as the core platform supporting civil aviation data sharing, achieving comprehensive integration and efficient utilization of aviation data by building a unified information
    exchange network. The collaborative decision making (CDM) system further strengthens real-time communication and collaboration across departments and institutions, particularly demonstrating significant results in areas of
    flight operation management, optimal resource allocation and emergency response, which has effectively improved
    the overall operational efficiency and safety of the civil aviation system. In terms of data security and privacy protection in data sharing, new technologies such as blockchain and federated learning have also shown great poten鄄
    tial. Blockchain provides secure and transparent data sharing solutions, while federated learning achieves knowledge sharing under the premise of protecting privacy. However, data sharing faces challenges such as insufficient
    standardization, difficulty in cooperation and coordination, data security, technical complexity, and cost feasibility.
    In summary, this article not only reveals the latest technological advancements of key technologies for secure sharing of civil aviation data, but also provides a forward-looking perspective on future trends and opportunities, providing reference and guidance for the continuous innovation of civil aviation data sharing and the digital transformation of the global civil aviation industry.
    Reference | Related Articles | Metrics | Comments0
    Numerical simulation of pollutants from non-premixed combustion of
    CH4 /H2 under multivariate wide-range conditions
    ZHANG Hong, LI Linjun, WANG Xiaodong
    Journal of Civil Aviation University of China    2025, 43 (4): 74-83.  
    Abstract1867)            Save
    This article takes the jet-in-hot-coflow (JHC) combustor as the research object and conducts numerical simulation
    of pollutants from non-premixed combustion of hydrogen blended methane under multivariate wide-range conditions. Quantitative analysis is conducted on the effects of hydrogen blended ratio of central fuel jet, velocity of
    central fuel jet, and the oxygen content and temperature of the hot coflow on combustion temperature, reaction rate,
    and the generation of major pollutants. The results show that with an increase of hydrogen blended ratio, the
    reaction at the inlet becomes more intense and the temperature peak is higher, the combustion rate increases, the
    high-temperature region becomes wider, the mass fraction of CO and CO2 decrease, while the mass fraction of NOx
    increases. As the oxygen mass fraction of hot coflow increases, the mass fraction of CO first increases and then
    decreases, and the increase of the NOx mass fraction peak can reach 250% . With the increase of hot coflow
    temperature, CO mass fraction increases, CO2 mass fraction decreases, and the average increase of the NOx mass
    fraction peak can reach 230%. This paper can provide basic theoretical support for predicting pollutant emissions
    of hydrogen blended fuels in engineering applications.
    Reference | Related Articles | Metrics | Comments0
    Research on the promotion of urban economic resilience by air logistics:
    taking an airport-type national logistics hub hosting city Zhengzhou as a case
    SHEN Danyang , LIU Ximeng , ZHENG Wenjuan , LIU Jiao
    Journal of Civil Aviation University of China    2025, 43 (4): 56-61.  
    Abstract1860)            Save
    To study whether air logistics can promote the improvement of urban economic resilience, this paper selects
    Zhengzhou, a hosting city of the airport-type national logistics hub, establishes an evaluation index system for
    urban economic resilience using its 2009-2021 data of air logistics and urban economic, evaluates it using the
    entropy method, and empirically tests the correlation between the matching ability of air logistics and urban economic resilience using the vector autoregressive (VAR) model. The study results show that the strength of urban
    economic resilience is significantly correlated with the level of air logistics matching ability. The effect of the
    strength of urban economic resilience on the promotion of matching ability of air logistics presents an immediate
    significant effect, whereas the effect of the level of air logistics matching ability on the promotion of urban economic resilience shows a gradual cumulative effect.
    Reference | Related Articles | Metrics | Comments0
    Analysis of rotor aerodynamic disturbance in cruising state of quad tilting rotor UAV
    YANG Yonggang a , QIU Mingzhi b
    Journal of Civil Aviation University of China    2025, 43 (3): 81-85.  
    Abstract1838)            Save
    In order to explore the aerodynamic change law of a certain type of quad tilting rotor unmanned aerial vehicle (UAV)
    during high-speed cruising process, the multiple reference frame (MRF) numerical simulation method is used to
    analyze the quad tilting rotor UAV model established in this paper. By changing the relative thickness of the wing
    airfoil, rotor collective pitch, forward flight speed and other parameters, the whole aircraft disturbance of the UAV
    model is simulated, and the aerodynamic change characteristics of components such as rotors are analyzed. The results show that increasing the relative thickness of the wing airfoil can reduce the pull coefficient of rear rotor during cruise process, When the thickness increases by 6%, the tensile coefficient decreases by 17.09%. At the same
    time, under the superposition of the front intake air flow and the front rotor slip flow, the front rotor slip flow will
    have a certain impact on the rear rotor aerodynamic performance, and as the forward flight speed increases, the impact of the front rotor slip flow will first increase and then weaken.
    Reference | Related Articles | Metrics | Comments0
    Complexity analysis of time series based on order entropy
    DONG Keqiang a, b , LIU Jingna b
    Journal of Civil Aviation University of China    2026, 44 (1): 91-96.  
    Abstract1831)      PDF(pc) (2198KB)(57)       Save
    Traditional information entropy has certain limitations in analyzing the complexity of time series, as it does nottake into account the sequential relationship among successive elements. To address this issue, this paper pro-poses an improved entropy. First, order entropy is defined to measure the uncertainty of the sequence of succes-sive elements, and joint order entropy and average order entropy are further introduced to study the complex de-pendency between two time series. Then, these entropy -based measurement methods are applied to random se-quences following different distributions and to performance parameter sequences of aircraft engines to verify theeffectiveness of the improved method. The results show that the improved entropy can effectively measure the un-certainty in time series, and the influence of time delay on order entropy and average order entropy is relativelysmall.
    Related Articles | Metrics | Comments0
    A runway icing prediction method based on physics-informed neural network
    XING Xinyuana, b , LIU Shifua, b , LING Jianminga, b , TAO Zefenga, b,
    Journal of Civil Aviation University of China    2025, 43 (3): 38-44.  
    Abstract1779)            Save
    Runway icing poses a threat to the safety of aircraft ground operation, accurate prediction of pavement temperature
    and icing state is essential. To overcome the limitations of traditional runway icing predication methods in handling
    complex scenarios, limited data, and physical inconsistency, this study proposes a runway icing prediction method
    based on physics-informed neural network (PINN). The model embeds multilayer structure heat conduction and
    water-ice phase change mechanisms into a deep neural network, enabling precise prediction of temperature fields
    and water-ice state under limited data. Experimental data from a self-designed icing simulation are used to compare the solution results of PINN with the finite difference method (FDM). Results show that the jointly driven data physics PINN reduces average prediction error of temperature by about 90% compared to FDM, with just 0.21 ℃,
    which is able to reconstruct full-field temperature field from limited data. Furthermore, the study analyzes the
    mechanisms of salinity lowers the freezing point, delays icing, and suppresses ice growth. These findings can provide a new technological path for runway icing prediction.
    Reference | Related Articles | Metrics | Comments0