首页|Findings in Machine Learning Reported from Technical University of Denmark (DTU) (Fatigue Damage Reconstruction In Glass/epoxy Composites Via Thermal Analysis a nd Machine Learning: a Theoretical Study)
Findings in Machine Learning Reported from Technical University of Denmark (DTU) (Fatigue Damage Reconstruction In Glass/epoxy Composites Via Thermal Analysis a nd Machine Learning: a Theoretical Study)
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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 Roskilde, Denmark, by NewsRx editors, research stated, “This study introduces an advanced, noncontact diagno stic tool for structural health monitoring of fatigue damage in fiber/polymer co mposite materials. The approach combines thermal image recognition of fatigue se lf-heating hotspots with highfidelity thermal modeling to quantitatively assess subsurface fatigue damage distributions by machine learning.”
RoskildeDenmarkEuropeCyborgsEmer ging TechnologiesMachine LearningTechnical University of Denmark (DTU)
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