Robotics & Machine Learning Daily News2024,Issue(Jan.10) :62-63.

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)

Robotics & Machine Learning Daily News2024,Issue(Jan.10) :62-63.

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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Abstract

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.”

Key words

Grenoble/France/Europe/Artificial Intelligence/Emerging Technologies/Machine Learning/University of Grenoble-Alpes

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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