首页|Researchers from Tongji University Publish New Studies and Findings in the Area of Machine Learning (Performance prediction and analysis of engineered cementiti ous composites based on machine learning)
Researchers from Tongji University Publish New Studies and Findings in the Area of Machine Learning (Performance prediction and analysis of engineered cementiti ous composites based on machine learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news reporting from Shanghai, People ’s Republic of China, by NewsRx journalists, research stated, “This study presen ts the implementation of machine learning (ML) techniques for mechanical propert ies prediction and analysis of polyethylene fiber-reinforced ECC (PE-ECC).” Funders for this research include Fundamental Research Funds For The Central Uni versities; National Natural Science Foundation of China. Our news correspondents obtained a quote from the research from Tongji Universit y: “A comprehensive database including different mechanical properties of PE-ECC was first constructed, with total 50 compressive strengths, 123 tensile strengt hs and 123 tensile strain capacities being assembled. Grey relational analysis w as used to investigate the sensitivity of the critical parameters of PE-ECC’s me chanical properties. The evaluation results showed that the supplementary cement itious materials-to-binder ratio, water-to-binder ratio, sand-to-binder ratio, a nd fiber reinforcing index have significant effects on the mechanical properties of PE-ECC. Three representative ML techniques were utilized and demonstrated go od predictive performance. A parametric study was further undertaken to quantify the effects of the selected parameters on the mechanical properties of PE-ECC b ased on the ML models.”
Tongji UniversityShanghaiPeople’s Re public of ChinaAsiaCyborgsEmerging TechnologiesEngineeringMachine Lear ning
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