首页|Findings from University of British Columbia Update Understanding of Machine Lea rning (Experimental and Machine Learning Study On a Novel High-performance Hybri d Steel-grout Connector for Cross-laminated Timber Panels Under Pre-yield Cyclic ...)
Findings from University of British Columbia Update Understanding of Machine Lea rning (Experimental and Machine Learning Study On a Novel High-performance Hybri d Steel-grout Connector for Cross-laminated Timber Panels Under Pre-yield Cyclic ...)
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 Daily News Daily News-Fresh data on Machine Learning are pre sented in a new report. According to news originating from Vancouver, Canada, by NewsRx correspondents, research stated, “This work presents the results from qu asi-static cyclic tests on a novel hybrid steel-grout connector for crosslaminat ed timber (CLT) panels. These test series are part of an experimental, analytica l, and numerical research program to develop reliable and resilient connections for hybrid CLT mass timber structural assemblies.”
VancouverCanadaNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningUniversity of British Columbia