首页|New Findings from University of Birmingham in the Area of Machine Learning Repor ted (Machine Learning and Traditional Approaches In Shear Reliability of Steel F iber Reinforced Concrete Beams)
New Findings from University of Birmingham in the Area of Machine Learning Repor ted (Machine Learning and Traditional Approaches In Shear Reliability of Steel F iber Reinforced Concrete Beams)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news originating from Birmingham, United Kingdom, b y NewsRx correspondents, research stated, “In the field of structural engineerin g, the exploration of steel fibre reinforced concrete (SFRC) beams has recently intensified, particularly due to their improved tension and shear performance of structure. This study pioneers a novel reliability analysis of shear capacity p redictions for SFRC beams, distinctively classifying the datasets into high-stre ngth (HSFRC) and normal-strength (NSFRC) categories.” Funders for this research include European Commission Joint Research Centre, Uni versity of Birmingham Library.
BirminghamUnited KingdomEuropeCybo rgsEmerging TechnologiesMachine LearningUniversity of Birmingham
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