首页|Data on Machine Learning Described by Researchers at Guangzhou University (Value of Deformation Index of Composite Shear Walls With Parallel Circular Concrete-f illed Steel Tubular Columns Combined With Machine Learning)
Data on Machine Learning Described by Researchers at Guangzhou University (Value of Deformation Index of Composite Shear Walls With Parallel Circular Concrete-f illed Steel Tubular Columns Combined With Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reportingoriginating from Guangzhou, People’s Rep ublic of China, by NewsRx correspondents, research stated,“A steel-plate-provid ed concrete shear wall with parallel circular concrete-filled steel tube columns (PCFSTSCSW)was investigated for engineering applications and deformation perf ormance, and this studycombines the characteristics of a P-CFST-SCSW to propose material strain limit values for various performancestates of this shear wall. Firstly, 378 finite element models are designed using accurate finiteelement m odels, which include the ratio of axial compression and the ratio of shear-to-sp an, steel tubedistance, and steel tube thickness.”
GuangzhouPeople’s Republic of ChinaA siaCyborgsEmerging TechnologiesMachine LearningGuangzhou University
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