首页|New Data from School of Aerospace Illuminate Findings in Machine Learning (Micro structure Dependent Transverse Strength Criterion for Ud-cfrp Composites Via Com putational Micromechanics and Machine Learning)
New Data from School of Aerospace Illuminate Findings in Machine Learning (Micro structure Dependent Transverse Strength Criterion for Ud-cfrp Composites Via Com putational Micromechanics and Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Machine Learn ing have been published. According to news originating from Xi'an, People's Repu blic of China, by NewsRx correspondents, research stated, "The transverse streng th of unidirectional carbon fiber reinforced polymer (UD-CFRP) composites is a h igh dimensional and nonlinear function of microstructure due to the wide scatter in mechanical properties and complex failure mechanisms, which is a challenging task to develop a general microstructure dependent strength criterion (MDSC) in theory or computation. Volume fraction and distribution of fibers are among the crucial influencing factors." Funders for this research include National Natural Science Foundation of China ( NSFC), China Scholarship Council.
Xi'anPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningSchool of Aerospace
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