Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news reporting out of Shangha i, People’s Republic of China, by NewsRx editors, research stated, “The safety o f aircraft landing on wet runways is of great importance in runway risk manageme nt.” Our news editors obtained a quote from the research from Tongji University: “In order to ensure landing safety on wet runways, real-time risk warning is require d. This paper proposes a method to assess aircraft landing risk in real-time bas ed on finite element-virtual prototype-machine learning co-simulation. Firstly, a tire-water film-runway finite element model was constructed, a virtual prototy pe model was built based on the Airbus A320 model, and the results of the tire-w ater film-runway local finite element dynamic analysis were transferred to the s ystem simulation of the virtual prototype for co-simulation. Secondly, consideri ng the influence of wet state parameters on the runway, a database of aircraft a nti-skid failure risk was constructed, and three machine learning models were tr ained to predict aircraft landing risk. The results show that the Support Vector Machine (SVM) model has better generalization capability and should be used to predict the risk level of aircraft landing. The efficacy of the comprehensive ta xiing model was validated using an empirical formula for determining the aircraf t’s landing distance on a wet runway.”
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