首页|Studies from University of Grenoble-Alpes Update Current Data on Artificial Intelligence (Calculating of the Tunnel Face Deformations Reinforced By Longitudinal Fiberglass Dowels: From Analytical Method To Artificial Intelligence)
Studies from University of Grenoble-Alpes Update Current Data on Artificial Intelligence (Calculating of the Tunnel Face Deformations Reinforced By Longitudinal Fiberglass Dowels: From Analytical Method To Artificial Intelligence)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Artificial Intelligence is the subject of a report. According to newsreporting originating in Grenoble, France, by NewsRx journalists, research stated, “Deformation calculationof the reinforced tunnel is always the key and difficult problem in tunnel support design. To achieve simpleand rapid tunnel performance evaluation, this paper attempts to establish a novel calculation system basedon the artificial intelligence, which is transitioned from an analytical method named the Convergence-Confinement Method (CCM) based on the spherical symmetry hypothesis. 200 simulations were completedby using an analytical method to describe the reinforced tunnel behavior and seven parameters wereconsidered to calculate the tunnel face deformation.”
GrenobleFranceEuropeArtificial IntelligenceEmerging TechnologiesMachine LearningUniversity of Grenoble-Alpes
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