摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。据新闻报道来自中国福建的报道，由NewsRx记者报道，研究称：“本文提出了一种非线性有限元模型(FEM),用以预测三种不同结构的承载能力椭圆钢管混凝土(CFST)短t形柱的配置:双钢管夹芯混凝土(CFDST)、夹芯混凝土和内钢混凝土双钢管一根单层钢管，夹芯混凝土。然后进行了参数分析研究探讨了几何参数和材料参数对结构承载力的影响椭圆形钢管混凝土短柱。
Abstract
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.”
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