Robotics & Machine Learning Daily News2024,Issue(Jun.17) :49-50.

Findings from Sichuan University Yields New Findings on Machine Learning (Advancing Ultimate Bond Stress-slip Model of Uhpc Structures Through a Novel Hybrid Ma chine Learning Approach)

Robotics & Machine Learning Daily News2024,Issue(Jun.17) :49-50.

Findings from Sichuan University Yields New Findings on Machine Learning (Advancing Ultimate Bond Stress-slip Model of Uhpc Structures Through a Novel Hybrid Ma chine Learning Approach)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news originating from Zigong, People’s Republic o f China, by NewsRx correspondents, research stated, “The significance of Ultimat e Bond Stress-Slip (UBS-S) in reinforced Ultra-High Performance Concrete (UHPC) structures cannot be overstated, as it directly affects their load-carrying capa city, structural integrity, and longterm performance. A comprehensive analysis o f the UHPC-Parallel Micro Element System (UHPC-PMES), including 144 specimens, e valuated the computational efficiency of the proposed UBS-S model.”

Key words

Zigong/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Sichuan University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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