Power consumption and metal wear in tunnel-boring machines: analysis of tunnel-boring operation in hard rock-Reference-Cited by-同舟云学术

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Power consumption and metal wear in tunnel-boring machines: analysis of tunnel-boring operation in hard rock

Published:1983-02 Issue:1 Volume:20 Page:A25
ISSN:0148-9062
Container-title:International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts
language:en
Short-container-title:International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts

Author:

Cassinelli F.,Cina S.,Innaurato N.

Publisher

Elsevier BV

Subject

General Engineering

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Convolutional Neural Network for Predicting the Performance of a Tunnel Boring Machine;Indian Geotechnical Journal;2024-08-28

2. Classification and Prediction of Rock Mass Boreability Based on Daily Advancement during TBM Tunneling;Buildings;2024-06-21

3. Prediction of Engineering Characteristics of Rock Masses Using Actual TBM Performance Data with Supervised and Unsupervised Learning Algorithms (a Case Study in Strong to Very Strong Igneous and Pyroclastic Rocks);Rock Mechanics and Rock Engineering;2024-05-04

4. Development of Performance Prediction Model for TBM Using Rock Mass Properties;Journal of the Geological Society of India;2023-06-26

5. Evaluation of Hard Rock Tunnel Boring Machine (TBM) Performance Using Stochastic Modeling;Geotechnical and Geological Engineering;2023-05-20

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