Development of penetration rate prediction models for hard rock TBM in construction phase by deep learning and block model techniques: A case study in Mae Tang-Mae Ngad Tunnel, Northern Thailand

The prediction models are proposed to utilize through multi stages in a project such as, preliminary and feasibility state, design, tender, and construction. As a result, its low accuracy exceeds the expected accuracy range (The association for the advancement of cost engineering, -10% to +15%). For...

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Vydané v:	Expanding Underground - Knowledge and Passion to Make a Positive Impact on the World s. 2790 - 2798
Hlavní autori:	Monthanopparat, Nantapol, Tanchaisawat, Tawatchai, Tanomtin, Chawalit
Médium:	Kapitola
Jazyk:	English
Vydavateľské údaje:	United Kingdom CRC Press 2023 Taylor & Francis Group
Vydanie:	1
Predmet:	Above Ground UCS BIM Model Prediction Model Development Geological Strength Index Block Model Hard Rock TBM Hidden Layer Overburden Schmidt Hammer RNN Triassic Granitoid Dataset Splitting Penetration Machine TBM Performance RMT Inverse Distance Methods Tail Shield SEM Multi Stages Drillhole Samples Rock Mass Double Shield TBM SCL
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