Rock mass properties prediction method in TBM tunnel based on principal component analysis (PCA) Cover

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Rock mass properties prediction method in TBM tunnel based on principal component analysis (PCA)

Civil and Environmental Engineering

By: Qingting Meng, Hai Wang, Liang Bai, Fei Zhao and Jian Bai

Open Access

|Dec 2025

Authors

Qingting Meng

Sinohydro Bureau 6 Co., Ltd., Shenyang, China

Hai Wang

School of Water Conservancy and Environment, University of Jinan, Jinan, China

Liang Bai

Sinohydro Bureau 6 Co., Ltd., Shenyang, China

Fei Zhao

Sinohydro Bureau 6 Co., Ltd., Shenyang, China

Jian Bai

252292645@qq.com

School of Water Conservancy and Environment, University of Jinan, Jinan, China

DOI: https://doi.org/10.2478/cee-2026-0051 | Journal eISSN: 2199-6512 | Journal ISSN: 1336-5835

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Language: English

Submitted on: Sep 1, 2025

Accepted on: Oct 23, 2025

Published on: Dec 9, 2025

Published by: University of Žilina

In partnership with: Paradigm Publishing Services

Publication frequency: 2 issues per year

Keywords:

Tunnel boring machine,

Machine learning,

Principal component analysis,

Rock mass parameters

Related subjects:

Business and economics,

Political economics,

Economic theory, systems and structures,

Business management,

Environmental management

© 2025 Qingting Meng, Hai Wang, Liang Bai, Fei Zhao, Jian Bai, published by University of Žilina
This work is licensed under the Creative Commons Attribution 4.0 License.