首页|Reports Summarize Machine Learning Findings from Dalian University of Technology (2d Aggregate Gradation Conversion Framework Integrated With 3d Random Aggregat e Method and Machinelearning for Asphalt Concrete)
Reports Summarize Machine Learning Findings from Dalian University of Technology (2d Aggregate Gradation Conversion Framework Integrated With 3d Random Aggregat e Method and Machinelearning for Asphalt Concrete)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting out of Dalian, People’s Republic of China , by NewsRx editors, research stated, “Two-dimensional (2D) random mesostructure models have been broadly utilized to study mechanical behavior and damage mecha nisms of asphalt concrete due to their high availability and efficiency. The 2D aggregate gradation that characterizes the area fractions of the simulated aggre gates of different sizes significantly affects the simulated mesomechanical prop erties of asphalt concrete.” Funders for this research include National Natural Science Foundation of China ( NSFC), Natural Science Foundation of Liaoning Province, Fundamental Research Fun ds for the Central Universities.
Dalian, People’s Republic of China, Asia , Cyborgs, Emerging Technologies, Machine Learning, Dalian University of Technol ogy
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