Tunnel and Underground Engineering: Recent Advances and Challenges

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".

Deadline for manuscript submissions: 20 May 2024 | Viewed by 1189

Special Issue Editors


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Guest Editor
1. School of Civil Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China
2. Key Laboratory of Geotechnical and Underground Space Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China
Interests: tunnel engineering; rock mechanics; intelligent construction; geotechnical engineering

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Guest Editor
School of Civil Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China
Interests: metro tunnel; loess; tunnel construction

E-Mail Website
Guest Editor
School of Civil Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China
Interests: rock mechanics; tunnel engineering; intelligent construction

Special Issue Information

Dear Colleagues,

Tunnel and underground engineering are the main types of underground space development and utilization, both existing in surrounding rock media. The mechanical problems of surrounding rock media are caused during construction. The mechanical properties of the surrounding rock also affect the construction safety of underground engineering and tunnel engineering. At present, there are still many key technical problems in the construction of tunnel and underground engineering, such as the mechanical evolution mechanism of surrounding rock during the construction of underground engineering and tunnel engineering; the construction safety of underground works and tunnel works in rich water geological environment; and the intelligent construction of underground engineering and tunnel engineering.

This Special Issue aims to collect original research or review articles on the latest theories and techniques related to tunnel and underground engineering. All theoretical, numerical, experimental, and field studies are welcome.

This Special Issue aims to publish high-quality, original research papers in the following overlapping fields (while also not limited to these fields):

  • The mechanical mechanism of tunnel and underground engineering;
  • The informationized monitoring of tunnel and underground engineering;
  • The intelligent development and utilization of urban underground space;
  • The intelligent construction of tunneling engineering;
  • The engineering problems of urban subways;
  • Engineering structure design and optimization;
  • Pipe jacking construction;
  • Rock and soil mechanics with multi-field coupling;
  • A constitutive model of rock and soil;
  • Underground carbon dioxide storage technology;
  • Underground energy storage.

Dr. Zhanping Song
Dr. Yuwei Zhang
Dr. Naifei Liu
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • tunnel engineering
  • underground engineering
  • intelligent construction
  • rock mechanics
  • numerical simulation
  • model tests

Published Papers (1 paper)

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Review

25 pages, 4395 KiB  
Review
A Review of Deep Learning Applications in Tunneling and Underground Engineering in China
by Chunsheng Su, Qijun Hu, Zifan Yang and Runke Huo
Appl. Sci. 2024, 14(5), 1720; https://doi.org/10.3390/app14051720 - 20 Feb 2024
Viewed by 687
Abstract
With the advent of the era of big data and information technology, deep learning (DL) has become a hot trend in the research field of artificial intelligence (AI). The use of deep learning methods for parameter inversion, disease identification, detection, surrounding rock classification, [...] Read more.
With the advent of the era of big data and information technology, deep learning (DL) has become a hot trend in the research field of artificial intelligence (AI). The use of deep learning methods for parameter inversion, disease identification, detection, surrounding rock classification, disaster prediction, and other tunnel engineering problems has also become a new trend in recent years, both domestically and internationally. This paper briefly introduces the development process of deep learning. By reviewing a number of published papers on the application of deep learning in tunnel engineering over the past 20 years, this paper discusses the intelligent application of deep learning algorithms in tunnel engineering, including collapse risk assessment, water inrush prediction, crack identification, structural stability evaluation, and seepage erosion in mountain tunnels, urban subway tunnels, and subsea tunnels. Finally, it explores the future challenges and development prospects of deep learning in tunnel engineering. Full article
(This article belongs to the Special Issue Tunnel and Underground Engineering: Recent Advances and Challenges)
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