首页|Reports from University of New South Wales Advance Knowledge in Machine Learning (Residual Behaviour and Damage Assessment of Uhpc-filled Double-skin Steel Tubu lar Columns After Lateral Impact)
Reports from University of New South Wales Advance Knowledge in Machine Learning (Residual Behaviour and Damage Assessment of Uhpc-filled Double-skin Steel Tubu lar Columns After Lateral Impact)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Machine Learning are discussed in a new report. Accordingto news originating from Sydney, Austra lia, by NewsRx correspondents, research stated, “Ultra-highperformance concrete (UHPC)-filled double-skin steel tubular (DST) column has great potential to beused in the protective structures. Although its lateral impact behaviour has bee n well understood, theresidual behaviour after lateral impact remains unexplore d.”
SydneyAustraliaAustralia and New Zea landCyborgsEmerging TechnologiesMachine LearningUniversity of New South Wales
NETL
NSTL
