Robotics & Machine Learning Daily News2024,Issue(Oct.9) :92-93.

Findings on Machine Learning Reported by Investigators at University of Science and Technology Beijing (Multi-damage Indexbased Interfacial Debonding Predictio n for Steel-concrete Composite Structures With Percussion Method)

Robotics & Machine Learning Daily News2024,Issue(Oct.9) :92-93.

Findings on Machine Learning Reported by Investigators at University of Science and Technology Beijing (Multi-damage Indexbased Interfacial Debonding Predictio n for Steel-concrete Composite Structures With Percussion Method)

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Abstract

Researchers detail new data in Machine Learning. According to news reporting from Beijing, People's Republic of China, by NewsRx journalists, research stated, "The interfacial debonding as an invisi ble damage significantly undermines the bearing capacity and durability of steel -concrete composite structures (SCCS). Although the percussion method has been w idely utilized in practical applications, the single damage index (DI) extracted in the analysis process tends to be invalid to abnormalities and leads to misju dgment." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Beijing Municipal Science & Technology Commiss ion, Interdisciplinary Research Project for Young Teachers of USTB (Fundamental Research Funds for the Central Universities, Key Laboratory for Intelligent Infr astructure and Monitoring of Fujian Province (Huaqiao University).

Key words

Beijing/People's Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/University of Science and T echnology Beijing

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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