首页|Fujian Agriculture and Forestry University Reports Findings in Machine Learning (Compressive behavior of elliptical concrete-filled steel tubular short columns using numerical investigation and machine learning techniques)
Fujian Agriculture and Forestry University Reports Findings in Machine Learning (Compressive behavior of elliptical concrete-filled steel tubular short columns using numerical investigation and machine learning techniques)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting from Fujian, People’s Republi c of China, by NewsRx journalists, research stated, “This paperpresents a non-l inear finite element model (FEM) to predict the load-carrying capacity of three differentconfigurations of elliptical concrete-filled steel tubular (CFST) shor t columns: double steel tubes withsandwich concrete (CFDST), double steel tubes with sandwich concrete and concrete inside the inner steeltube, and a single o uter steel tube with sandwich concrete. Then, a parametric and analytical study wasperformed to explore the influence of geometric and material parameters on t he load-carrying capacity ofelliptical CFST short columns.”
FujianPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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