Robotics & Machine Learning Daily News2024,Issue(Nov.6) :89-89.

Study Results from Chung-Ang University Broaden Understanding of Machine Learnin g (Fatigue Life Prediction for Stud Shear Connectors Based on a Machine Learning Model)

Robotics & Machine Learning Daily News2024,Issue(Nov.6) :89-89.

Study Results from Chung-Ang University Broaden Understanding of Machine Learnin g (Fatigue Life Prediction for Stud Shear Connectors Based on a Machine Learning Model)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence.According to news reporting originating from Seoul, South Korea, by NewsRx correspondents, research stated, “The shear connector of a ste el composite bridge is designed by predicting fatigue life using the fatigue str ength curves (S-N curve) based on push-out test results.”Funders for this research include Korea Agency For Infrastructure Technology Adv ancement.

Key words

Chung-Ang University/Seoul/South Korea/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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