首页|Reports from Southwest Jiaotong University Describe Recent Advances in Machine L earning (Machine Learning Models for Predicting Viv Amplitude of Streamlined Ste el Box Girders)
Reports from Southwest Jiaotong University Describe Recent Advances in Machine L earning (Machine Learning Models for Predicting Viv Amplitude of Streamlined Ste el Box Girders)
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 Chengdu, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Thevortex-induced v ibrations (VIVs) can cause severe consequences for long-span bridges, including structuralfatigue, human-body comfort and vehicle safety, and become significan t issues in terms of thewind-resistance. Currently, estimations of VIV amplitud es are typically based on wind tunnel tests, fieldmonitoring, computational flu id dynamics and theoretical models.”
ChengduPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningSouthwest Jiaotong Universi ty
NETL
NSTL
