Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.5
2.7
Journals
Applied Sciences
Special Issues
Structural Analysis and Evaluation of Rocks and Rock Masses
share announcement

Structural Analysis and Evaluation of Rocks and Rock Masses

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

Deadline for manuscript submissions: closed (30 May 2023) | Viewed by 4825

Special Issue Editors

Dr. Taoying Liu

E-Mail Website
Guest Editor
School of Resources and Safety Engineering, Central South University, Changsha 410083, China
Interests: rock materials and engineering
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Ping Cao

E-Mail Website
Guest Editor
School of Resources and Safety Engineering, Central South University, Changsha 410083, China
Interests: rock fracture mechanics; engineering mechanics; safety science and technology

Special Issue Information

Dear Colleagues,

The structure of rock mass contains two basic factors: the structural plane and the body. The behavior of rock mass was determined by the properties of the rock matrix on the one hand and the presence of discontinuities on the other. The crack initiation from micro-cracks progressing to a completely damaged rock mass is a process of evolution and an accumulation of rock mass damage from fractures connecting existing cracks. Great effort is made to develop crack-propagation theories, to develop techniques to study the coalescence process of cracks or to study the relationship between micro-damage development and macro-deformation. Especially with the use of high-speed video technology, scanning electron microscopy (SEM) and computed tomography (CT) scan techniques, the progressive failure mechanisms have been observed in detail. Similarly, various numerical studies using different techniques have been successfully used in modelling such progressive failure mechanism. Significant advances have been made in understanding the failure process of brittle rock, and a thorough understanding of the structural of rock mass and its failure processes will benefit geological engineering design and implementation.

Dr. Taoying Liu
Prof. Dr. Ping Cao
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

  • microstructure observation technology
  • physical and mechanical properties
  • crack propagation process and failure criterion
  • multiple field coupling theory and penetration model
  • damage fracture mechanism and mechanical model
  • numerical methods and theoretical calculations

Published Papers (3 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

21 pages, 10174 KiB  
Article
A Landslide Warning Method Based on K-Means-ResNet Fast Classification Model
by Yang Wu, Guangyin Lu, Ziqiang Zhu, Dongxin Bai, Xudong Zhu, Chuanyi Tao and Yani Li
Appl. Sci. 2023, 13(1), 459; https://doi.org/10.3390/app13010459 - 29 Dec 2022
Cited by 2 | Viewed by 1050
Abstract
Landslide early warning is a key technology for effective landslide prevention and control. However, the traditional landslide early warning mainly makes decisions through thresholds, and if the thresholds are not selected properly, it will lead to missing alarms and false alarms frequently. To [...] Read more.
Landslide early warning is a key technology for effective landslide prevention and control. However, the traditional landslide early warning mainly makes decisions through thresholds, and if the thresholds are not selected properly, it will lead to missing alarms and false alarms frequently. To resolve this problem, this study proposes a landslide early warning algorithm based on a K-means-ResNet model. This method uses the K-means method to cluster the landslide deformation state, and then uses ResNet to classify the landslide rainfall and deformation data, so as to realize the threshold-free judgment and early warning of landslide deformation state. The model was applied to the Zhongma landslide, Guangxi Province, China, and the Shangmao landslide, Hunan Province, China, for validation and evaluation. The results showed that the accuracy, precision and recall of the proposed model can reach 0.975, 0.938, 0.863 and 0.993, 0.993, 0.925, respectively, for classifying the deformation states of the two landslides, and the classification results are better than those of the baseline model. Compared with the threshold-based early warning method, the proposed early warning method does not require artificial determination of threshold parameters and can effectively identify landslide deformation states, which can not only reduce false alarms and missing alarms but also improve the reliability of early warning. Full article
(This article belongs to the Special Issue Structural Analysis and Evaluation of Rocks and Rock Masses)
►▼ Show Figures

Figure 1

19 pages, 6235 KiB  
Article
A Hybrid Early Warning Method for the Landslide Acceleration Process Based on Automated Monitoring Data
by Dongxin Bai, Guangyin Lu, Ziqiang Zhu, Xudong Zhu, Chuanyi Tao and Ji Fang
Appl. Sci. 2022, 12(13), 6478; https://doi.org/10.3390/app12136478 - 26 Jun 2022
Cited by 8 | Viewed by 1644
Abstract
The data collection in the automated monitoring of landslides is often characterized by large amounts of data, periodic fluctuations, many outliers, and different collection intervals. The traditional method of calculating velocity and acceleration using the differential algorithm for landslide acceleration relies on experience [...] Read more.
The data collection in the automated monitoring of landslides is often characterized by large amounts of data, periodic fluctuations, many outliers, and different collection intervals. The traditional method of calculating velocity and acceleration using the differential algorithm for landslide acceleration relies on experience to select thresholds and produces a large number of false early warnings. A hybrid early warning method for the landslide acceleration process based on automated monitoring data is proposed to solve this problem. The method combines the conventional warning method, based on cumulative displacement, velocity, and acceleration, and the critical sliding warning method based on normalized tangent angle according to different strategies. On the one hand, the least-squares fitting of monitoring data inside a given time window is used to calculate various early warning parameters, improving data usage and lowering calculation error. On the other hand, a dynamic semi-quantitative and semi-empirical method is provided for the determination of the thresholds, which is more reliable than the purely empirical method. The validation experiments at the Lishanyuan landslide in southern China show that the hybrid method can accurately identify the accelerating deformation of the landslide and gives very few false warnings. The proposed method is practical and effective for systems that require automated monitoring and warnings for a large number of landslides. Full article
(This article belongs to the Special Issue Structural Analysis and Evaluation of Rocks and Rock Masses)
►▼ Show Figures

Figure 1

21 pages, 6389 KiB  
Article
Hydraulic Fracture Propagation in Fractured Rock Mass
by Taoying Liu, Yeshan Sheng, Qing Li, Chaoyang Zhang, Mengyuan Cui, Zhanfu Yu and Ping Cao
Appl. Sci. 2022, 12(12), 5846; https://doi.org/10.3390/app12125846 - 08 Jun 2022
Cited by 2 | Viewed by 1475
Abstract
According to fracture mechanics theory, the initial cracking law and wing crack propagation model of compression shear rock cracks subjected to hydraulic pressure and far field stresses are discussed. The results of the theoretical study show that crack initiation strength is inversely related [...] Read more.
According to fracture mechanics theory, the initial cracking law and wing crack propagation model of compression shear rock cracks subjected to hydraulic pressure and far field stresses are discussed. The results of the theoretical study show that crack initiation strength is inversely related to hydraulic pressure, that hydraulic pressure aggravates the wing crack’s growth, and that the wing crack’s behavior under high hydraulic pressure shifts from stable to unstable expansion. The confining pressure is proportional to the rock mass strength, the wing crack’s stress intensity factor drops as the remote field stress σ3 increases, and the wing crack tends to expand stably. As the crack angle increases, the cracking strength reduces at first, then increases. At the same time, damage fracture mechanics models are established for the occurrence of wing crack-wing crack failure, wing crack-shear crack failure, wing crack-shear crack-wing crack failure, and shear crack-shear crack failure in the compression-shear crack bridge under far-field stress and hydraulic pressure. The link between hydraulic pressure, confining pressure, fracture angle, stress intensity factor, and compression-shear factor λ12 is also clarified. The value of the stress intensity factor increases when the hydraulic pressure decreases, the confining pressure increases, and the crack angle increases, whereas the compression-shear factor decreases. This study lays the groundwork for a quantitative assessment of fractured rock mass destruction under hydraulic pressure. Full article
(This article belongs to the Special Issue Structural Analysis and Evaluation of Rocks and Rock Masses)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-3
Back to TopTop