Findings from Indian Institute of Technology (IIT) Ropar in the Area of Machine Learning Reported (Effects of Material Properties Uncertainty On Seismic Fragili ty of Reinforced-concrete Frames Using Machine Learning Approach)
Findings from Indian Institute of Technology (IIT) Ropar in the Area of Machine Learning Reported (Effects of Material Properties Uncertainty On Seismic Fragili ty of Reinforced-concrete Frames Using Machine Learning Approach)
由一名新闻记者兼机器人与机器学习的新闻编辑每日新闻-调查人员发布了关于马学习的新报告。根据NewsRx Ed Itors在印度Rupnagar的新闻报道，研究表明：“材料特性在钢筋混凝土建筑的地震反应中起着至关重要的作用。利用非线性动力分析研究材料特性不确定性对地震易损性曲线参数的影响可能是昂贵的。”这项研究的财政支持来自印度政府教育部。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting out of Rupnagar, India, by NewsRx ed itors, research stated, “Material properties play a crucial role in governing th e seismic response of reinforced-concrete buildings. Investigating the effects o f material properties uncertainty using nonlinear dynamic analysis can be comput ationally expensive to obtain the seismic fragility curve parameters.” Financial support for this research came from Ministry of Education, Government of India.
Key words
Rupnagar/India/Asia/Cyborgs/Emerging Technologies/Machine Learning/Indian Institute of Technology (IIT) Ropar
NETL
NSTL