首页|New Findings from University of Shanghai for Science and Technology Describe Adv ances in Machine Learning (Buckling Behaviors Prediction of Biological Staggered Composites With Finite Element Analysis and Machine Learning Coupled Method)
New Findings from University of Shanghai for Science and Technology Describe Adv ances in Machine Learning (Buckling Behaviors Prediction of Biological Staggered Composites With Finite Element Analysis and Machine Learning Coupled Method)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Machine Learning are pre sented in a new report. According to newsoriginating from Shanghai, People’s Re public of China, by NewsRx correspondents, research stated, “Staggeredstructure , where mineral crystals are arranged in a staggered manner in protein matrix, i s the mostrepresentative microstructure in biological composites. Because of th e elongated geometry and large aspectratio of mineral crystals, their failure m echanism under compressive loading is predominantly controlledby buckling.”
ShanghaiPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningUniversity of Shanghai for Science and Technology
NETL
NSTL
