Tunnel boring machines (TBM) performance prediction: A case study using big data and deep learning

Author:

Feng Shangxin,Chen Zuyu,Luo Hua,Wang Shanyong,Zhao Yufei,Liu Lipeng,Ling Daosheng,Jing Liujie

Funder

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Building and Construction

Reference43 articles.

1. Performance prediction of tunnel boring machine through developing a gene expression programming equation;Armaghani;Eng. Comput.,2018

2. Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition;Armaghani;Tunn. Undergr. Space Technol.,2017

3. TBM Tunnelling in Jointed and Faulted Rock;Barton,2000

4. Prediction of penetration per revolution in TBM tunneling as a function of intact rock and rock mass characteristics;Benato;Int. J. Rock Mech. Min.,2015

5. Predicting TBM excavability;Bieniawski;Tunnels Tunnell. Int. (September),2007

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