首页|Reports Summarize Machine Learning Study Results from University of British Colu mbia [Hybrid Machine Learning Model and Predictive Equations for Compressive Stress-strain Constitutive Modelling of Confined Ultra-high-perf ormance Concrete (Uhpc) ...]
Reports Summarize Machine Learning Study Results from University of British Colu mbia [Hybrid Machine Learning Model and Predictive Equations for Compressive Stress-strain Constitutive Modelling of Confined Ultra-high-perf ormance Concrete (Uhpc) ...]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting from Kelowna, Canada, by NewsRx jou rnalists, research stated, “Stress-strain constitutive model for confined ultra- high-performance concrete (UHPC) plays a pivotal role in the design and modellin g of UHPC structures. However, while extensive research exists on the stress-str ain responses of unconfined UHPC, a notable dearth of studies focuses on the str ess-strain constitutive model for confined UHPC.” Funders for this research include Kon Kast Concrete Products Inc, Mitacs through the Accelerate grant.
KelownaCanadaNorth and Central Ameri caCyborgsEmerging TechnologiesMachine LearningUniversity of British Colu mbia