Robotics & Machine Learning Daily News2024,Issue(Nov.28) :39-40.

Studies Conducted at Southwest Jiaotong University on Machine Learning Recently Reported (Reliable Simulation Analysis for Hightemperature Inrush Water Hazard Based On the Digital Twin Model of Tunnel Geological Environment)

Robotics & Machine Learning Daily News2024,Issue(Nov.28) :39-40.

Studies Conducted at Southwest Jiaotong University on Machine Learning Recently Reported (Reliable Simulation Analysis for Hightemperature Inrush Water Hazard Based On the Digital Twin Model of Tunnel Geological Environment)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reportingoriginating in Sichuan, People’s Republi c of China, by NewsRx journalists, research stated, “In complexmountainous terr ains, tunnel construction faces unique challenges from high-temperature water in rushhazards, a systemic risk arising from the interplay of stress, seepage, and temperature fields. Traditionalsimulation methods, focusing on isolated disast er scenarios, fall short in addressing the multifaceted natureof these risks du e to geological ambiguity and data incompleteness.”

Key words

Sichuan/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Technology/Southwest Jiaot ong University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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