首页|New Machine Learning Findings from Hunan University Described (A Machine Learnin g Based Method for Predicting the Shear Strength of Fiber-reinforced Concrete Jo ints In Precast Segmental Bridges)
New Machine Learning Findings from Hunan University Described (A Machine Learnin g Based Method for Predicting the Shear Strength of Fiber-reinforced Concrete Jo ints In Precast Segmental Bridges)
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NETL
NSTL
Elsevier
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting originating from Chan gsha, People’s Republic of China, by NewsRx correspondents, research stated, “Th e utilization of Fiber-reinforced concrete (FRC) in the construction of Precast segmental concrete bridges (PSCBs) is progressively increasing. The design of jo ints among precast members can considerably impact the overall integrity and saf ety of the structure.”
ChangshaPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningHunan University
NETL
NSTL
Elsevier
