首页|Findings from Ton Duc Thang University Update Understanding of Machine Learning (Unraveling Seismic Uplift Behavior of Plate Anchors In Frictional-cohesive Soil s: a Comprehensive Analysis Through Stability Factors and Machine Learning)
Findings from Ton Duc Thang University Update Understanding of Machine Learning (Unraveling Seismic Uplift Behavior of Plate Anchors In Frictional-cohesive Soil s: a Comprehensive Analysis Through Stability Factors and Machine Learning)
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 – Fresh data on Machine Learning are pre sented in a new report. According to newsoriginating from Ho Chi Minh City, Vie tnam, by NewsRx correspondents, research stated, “This paperexplores the uplift behavior of horizontal anchor plates in frictional-cohesive soils subjected to seismicloading. The study focuses on three seismic stability factors: Fc, Fq, a nd F gamma, which depend onseismic coefficient Kh, depth-to-width ratio H/B, an d soil internal friction angle phi.”
Ho Chi Minh CityVietnamAsiaCyborgsEmerging TechnologiesMachine LearningTon Duc Thang University
NETL
NSTL
