Advances in Sustainable Geotechnical Engineering: 2nd Edition

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

Deadline for manuscript submissions: 20 May 2024 | Viewed by 728

Special Issue Editors


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Guest Editor
School of Civil Engineering, Central South University, Changsha 410075, China
Interests: tunnel and underground engineering; geotechnical engineering; tunnel construction; special geological environment
Special Issues, Collections and Topics in MDPI journals
School of Civil Engineering and Architecture, Guangxi University, Nanning 530004, China
Interests: tunnel engineering; prefabricated tunnel; geotechnical engineering; underground structure safety; numerical simulation; tunnel construction; special geological environment
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Civil Engineering and Architecture, Guangxi University, Nanning 530004, China
Interests: tunnel; freeze–thaw damage; rock mechanics; creep characteristics; numerical simulation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

this special issue is devoted to publishing research results of important geotechnical problems involved in the field of tunnel and underground engineering. In recent years, with the rapid economic development and population increases in various countries, new tunnel projects have begun construction. However, the geological environment of a tunnel structure is complex and changeable. Landslides, collapses, rock piles, unsymmetrical strata, karst, high stress, high-strength strata, loose strata, soft soil sections, special rock and soil, strong permeable strata, and other unfavorable geological environments are often encountered. Various unfavorable geological environments have led to frequent engineering accidents, which has brought great challenges to tunnel construction. This special issue mainly focuses on the important geotechnical problems involved in the design and construction of highways, railways, subways, and municipal tunnels, but it is not limited to tunnels in the above fields. High-quality research papers and engineering cases focusing on low-carbon environmental protection technology, energy-saving and consumption reduction technology, advanced methods, machine learning technology, artificial intelligence methods, etc., applied in tunnels are welcome.

Prof. Dr. Helin Fu
Dr. Zhen Huang
Dr. Jiabing Zhang
Guest Editors

Manuscript Submission Information

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Keywords

  • tunnel engineering
  • tunnel excavation stability
  • large deformations of surrounding rock
  • special geological environment
  • waterproofing and drainage of tunnels
  • deep rock mass
  • special rock and soil
  • trenchless technology
  • intelligent prediction method
  • intelligent monitoring technology
  • carbon-saving technology
  • green construction method
  • machine learning technology

Published Papers (1 paper)

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Research

19 pages, 27369 KiB  
Article
A New Approach for Discontinuity Extraction Based on an Improved Naive Bayes Classifier
by Guangyin Lu, Xudong Zhu, Bei Cao, Yani Li, Chuanyi Tao and Zicheng Yang
Appl. Sci. 2024, 14(5), 2050; https://doi.org/10.3390/app14052050 - 29 Feb 2024
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Abstract
An increasing number of methods are being used to extract rock discontinuities from 3D point cloud data of rock surfaces. In this paper, a new method for automatic extraction of rock discontinuity based on an improved Naive Bayes classifier is proposed. The method [...] Read more.
An increasing number of methods are being used to extract rock discontinuities from 3D point cloud data of rock surfaces. In this paper, a new method for automatic extraction of rock discontinuity based on an improved Naive Bayes classifier is proposed. The method first uses principal component analysis to find the normal vectors of the points, and then generates a certain number of random point sets around the selected training points for training the classifier. The trained, improved Naive Bayes classifier is based on point normal vectors and is able to automatically remove noise points due to various reasons in conjunction with the knee point algorithm, realizing high-precision extraction of the discontinuity sets. Subsequently, the individual discontinuities are segmented using a hierarchical density-based spatial clustering method with noise application. Finally, the PCA algorithm is used to complete the orientation by plane fitting the individual discontinuities. The method was applied in two cases, Kingston and Colorado, and the reliability and advantages of the new method were verified by comparing the results with those of previous research, and the discussion and analysis determined the optimal values of the relevant parameters in the algorithm. Full article
(This article belongs to the Special Issue Advances in Sustainable Geotechnical Engineering: 2nd Edition)
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