首页|New Machine Learning Study Results from Guilin University of Aerospace Technolog y Described (A machine learning-based crashworthiness optimization for a novel p ine cone-inspired multi-cell tubes under bending)
New Machine Learning Study Results from Guilin University of Aerospace Technolog y Described (A machine learning-based crashworthiness optimization for a novel p ine cone-inspired multi-cell tubes under bending)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in artific ial intelligence. According to news originating from Guilin, People's Republic o f China, by NewsRx correspondents, research stated, "Bionic tubes are of interes t in vehicle engineering due to their superior crashworthiness potential." The news reporters obtained a quote from the research from Guilin University of Aerospace Technology: "This study proposes a crashworthiness response investigat ion and machine learning-based multi-objective optimization of pine cone-inspire d muti-celled tubes (PCMTs). The base computer PCMT model was correlated using e xisting experiments, followed by a dynamic response evaluation of different PCMT geometrical and thickness configurations to assess their structural performance . Surrogate models of these PCMTs were then constructed using machine learning a lgorithms, and their main and interaction effects were analyzed. A non-dominated sorting genetic algorithm II (NSGA-II) approach was employed to perform a multi -objective optimization. The results demonstrate that thickness change had more effect on the initial peak force (IPF) and the mean crushing force (MCF) than th e specific energy absorption (SEA). Besides, due to the coupling effect, IPF, MC F and SEA of the optimal design solution of the PCMTs could reach a 36.82 % , 61.66 % and 72.95 % increase than the sum case, su ggesting that embedding inner tubes could significantly increase energy absorpti on with a relative minor IPF increase."
Guilin University of Aerospace Technolog yGuilinPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMac hine Learning
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