首页|Findings on Machine Learning Reported by Investigators at Ho Chi Minh City Unive rsity of Technology (Stability Design Charts and Equations for Rectangular Tunne ls Using Terzaghi's Modified Stability Factors and Machine Learning)
Findings on Machine Learning Reported by Investigators at Ho Chi Minh City Unive rsity of Technology (Stability Design Charts and Equations for Rectangular Tunne ls Using Terzaghi's Modified Stability Factors and Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Machine Learning is now available. According to news originating from Ho Chi Minh City, Vietnam, by New sRx correspondents, research stated, "The objective of this study is to investig ate the stability of plane strain rectangular tunnels under the effects of soil cohesion, surcharge loading, and soil unit weight. The novelty of the study is t o extend Terzaghi's bearing capacity equation approach for determining three tun nel stability factors (Nc, Ns, and N gamma) that can be used to evaluate a tunne l's stability." Financial supporters for this research include Ho Chi Minh City University of Te chnology (HCMUT), VNU-HCM.
Ho Chi Minh CityVietnamAsiaCyborgsEmerging TechnologiesMachine LearningHo Chi Minh City University of Techno logy
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