首页|Investigators at Gdansk University of Technology Report Findings in Machine Lear ning (Seismic Response and Performance Prediction of Steel Buckling-restrained B raced Frames Using Machine-learning Methods)
Investigators at Gdansk University of Technology Report Findings in Machine Lear ning (Seismic Response and Performance Prediction of Steel Buckling-restrained B raced Frames Using Machine-learning Methods)
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NETL
NSTL
Elsevier
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting out of Gdansk, Poland, by N ewsRx editors, research stated, “Nowadays, Buckling-Restrained Brace Frames (BRB Fs) have been used as lateral force-resisting systems for low-, to mid-rise buil dings. Residual Interstory Drift (RID) of BRBFs plays a key role in deciding to retrofit buildings after seismic excitation; however, existing formulas have lim itations and cannot effectively help civil engineers, e.g., FEMA P-58, which is a conservative estimation method.”
GdanskPolandEuropeCyborgsEmergin g TechnologiesMachine LearningGdansk University of Technology
NETL
NSTL
Elsevier
