首页|Reports Outline Machine Learning Study Findings from Imperial College London (A Physics-informed Machine Learning Model for Global-local Stress Prediction of Op en Holes With Finite-width Effects In Composite Structures)
Reports Outline Machine Learning Study Findings from Imperial College London (A Physics-informed Machine Learning Model for Global-local Stress Prediction of Op en Holes With Finite-width Effects In Composite Structures)
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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 originating in London, United Kingd om, by NewsRx journalists, research stated, “Fast and accurate methods are requi red to predict stresses in the vicinity of open and closed holes in composite st ructures, especially in a global-local modelling context as applied during the d esign of airframe structures. Fast analytical solutions for infinite-width aniso tropic plates with open holes do not consider finite-width effects.” Financial support for this research came from Engineering & Physic al Sciences Research Council (EPSRC).
LondonUnited KingdomEuropeCyborgsEmerging TechnologiesMachine LearningImperial College London
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