首页|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)
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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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.
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