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Applied Sciences
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Tunnel and Underground Engineering: Recent Advances and Challenges
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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: 31 December 2024 | Viewed by 3555

Special Issue Editors

Dr. Zhanping Song

E-Mail Website
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
Dr. Yuwei Zhang

E-Mail Website
Guest Editor
School of Civil Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China
Interests: metro tunnel; loess; tunnel construction
Dr. Naifei Liu

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

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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

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Published Papers (3 papers)

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Research

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15 pages, 8468 KiB  
Article
Groundwater Discharge Limits of Mountain Tunnels Based on the Normal Growth of Typical Herbaceous Plants
by Yuanfu Zhou, Xuefu Zhang, Yuanpeng Liu and Yuanguang Yang
Appl. Sci. 2024, 14(15), 6561; https://doi.org/10.3390/app14156561 - 26 Jul 2024
Viewed by 555
Abstract
The construction of mountain tunnels can lead to groundwater loss and severely impact plant growth. In order to study the limited discharge of groundwater in mountain tunnels for the normal growth of typical herbaceous plants, a tunnel in the alpine meadow area of [...] Read more.
The construction of mountain tunnels can lead to groundwater loss and severely impact plant growth. In order to study the limited discharge of groundwater in mountain tunnels for the normal growth of typical herbaceous plants, a tunnel in the alpine meadow area of Qinghai Province was taken as the research objective. Based on transplant experiments, numerical simulations, and the empirical calculation of tunnel discharge limits, the minimum water level required for the normal growth of herbaceous plants, groundwater changes, and grouting parameters during tunnel construction, as well as limited discharge values of groundwater based on the normal growth requirements of plants, were studied. The results indicate that when the groundwater level declined by 0.6–0.8 m, herbaceous plants were able to normally grow. Generally, tunnel excavation lowered the groundwater level so that the normal growth of herbaceous plants was significantly affected. The reasonable grouting parameters were obtained by numerical simulation. They were able to ensure that the groundwater level decline was less than 0.8 m and ultimately recovered to over 90% of the pre-construction level. The herbaceous plants in Qinghai’s alpine grasslands were able to normally grow when the groundwater discharge limit was 0.2~4.0 m3/(m·d). This research offers guidance and support for managing groundwater discharge during tunnel construction in ecologically fragile areas, such as the Three Rivers Source in Qinghai. Full article
(This article belongs to the Special Issue Tunnel and Underground Engineering: Recent Advances and Challenges)
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18 pages, 20014 KiB  
Article
Study on Field Test of Deformation and Stability Control Technology for Shallow Unsymmetrical Loading Section of Super-Large-Span Tunnel Portal
by Li Wan, Yanbin Luo, Changan Zhang, Chaopeng Tian, Xing Shao and Zhen Liu
Appl. Sci. 2024, 14(13), 5796; https://doi.org/10.3390/app14135796 - 2 Jul 2024
Viewed by 626
Abstract
This study focuses on monitoring the deformation of the shallow unsymmetrical section of a super-large-span tunnel portal relying on the newly built Shimentangshan Tunnel, and through numerical simulations, the construction sequence and drift ratios were optimized to address challenges related to the stability [...] Read more.
This study focuses on monitoring the deformation of the shallow unsymmetrical section of a super-large-span tunnel portal relying on the newly built Shimentangshan Tunnel, and through numerical simulations, the construction sequence and drift ratios were optimized to address challenges related to the stability of surrounding rock and structure. The findings indicate that employing the double-side drift method results in a maximum settlement value of 107.0 mm and a maximum convergence value of 108.8 mm, leading to larger deformations. Excavating the shallow buried side first followed by the deep buried side proves beneficial for deformation control of the support structure and effectively limits damage to the surrounding rock. A drift ratio of 0.3 ensures optimal support structure security and stability. Considering both structural deformation and surrounding rock damage, a ratio between 0.25 and 0.35 for the drifts is recommended. Taking into account construction efficiency and economic benefits, a construction plan for the shallow buried unsymmetrical section at the portal of super-large-span tunnels is proposed. Full article
(This article belongs to the Special Issue Tunnel and Underground Engineering: Recent Advances and Challenges)
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Review

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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
Cited by 2 | Viewed by 1565
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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