| When an aircraft is landing on a wet runway,it is easy to produce water skiing and cause safety accidents.However,the friction coefficient measured by the existing testing equipment can not well reflect the anti-skid ability of the water-soiled road surface.The International Civil Aviation Organization proposed to use the water film thickness of the water surface as a new safety control index to indirectly reflect the anti-skid performance of the wheels on the water runway,but the existing water film thickness detection equipment is difficult to carry out large-area real-time detection Moreover,the research on the influence of water film thickness on the hydroplaning behavior of aircraft still lacked a quantitative calculation method.Therefore,this paper established a water film thickness prediction model through artificial rainfall experiments to calculate the water film thickness distribution on the road surface,and established the critical hydroplaning speed correction formula through the finite element model of the wheel water skiing to quantitatively analyzed the influence of the water film thickness on the aircraft skiing.The influence of water behavior;combined with the water film thickness prediction model and the critical hydroplaning speed correction formula,a critical hydroplaning speed warning model was established to judge whether the aircraft landing on the surface of the waterway is at risk of drifting.First,through the artificial rainfall experiment,the original data of the water film thickness and its influencing factors were obtained,and the gray correlation method was used to analyze the influence law of each factor on the water film thickness,and then multiple linear regression,neural network,support vector machine,random forest and XGboost were used to construct the water film thickness prediction model,compared the prediction accuracy and calculation speed of each prediction model,and determined the optimal water film thickness prediction model as a neural network model.Then through the surface drainage test,the difference between the surface drainage capacity of the asphalt pavement and the cement pavement was compared,and the structural depth of the water film thickness prediction model was revised.Secondly,using Abaqus software,combined with Euler-Lagrangian fluid-structure coupling algorithm,the finite element model of the wheel skating was established to analyze the critical sliding under different water film thickness,tire pressure,and slip rate.Range analysis and variance analysis were used to determine the degree of influence of these three factors on the critical water skating speed,and a critical water skating speed correction formula was established,which was in line with the existing critical water skating speed formula A comparison was made and it was found that the accuracy of the correction formula in this article has been significantly improved.Finally,combining the revised water film thickness prediction model and the critical water skating speed correction formula,an early warning model of the critical water skating speed was established.For the convenience of further research and application,the program of the early warning model was compiled.Relying on the inspection project of Tong Liao Airport in Inner Mongolia,according to the parameters of the airport pavement measured on the spot,combined with the prediction model,the water film thickness distribution of the airport pavement under the maximum rainfall intensity was calculated,and the water skating behavior of common models was analyzed.The practical application of the critical water skating speed early warning model. |
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