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Macro–Meso Mechanical Response and Engineering Reliability Evaluation of Rock Mass under the Action of Multi-Field Coupling

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Engineering and Science".

Deadline for manuscript submissions: closed (31 August 2023) | Viewed by 7411

Special Issue Editors

Dr. Yun Lin

E-Mail Website
Guest Editor
School of Resources and Safety Engineering, Central South University, Changsha 410083, China
Interests: multi-field coupling rock mechanics; intelligent early warning and control of geotechnical disasters
Special Issues, Collections and Topics in MDPI journals
Dr. Chun Yang

E-Mail Website
Guest Editor
Department of Mining Engineering, Central South University, Changsha 410083, China
Interests: numerical modelling; microwave-assisted rock breakage; mining; rock mechanics
Special Issues, Collections and Topics in MDPI journals
Dr. Chuanju Liu

E-Mail Website
Guest Editor
School of Environment and Resources, Southwest University of Science and Technology, Mianyang 621010, China
Interests: rock mechanics and engineering; mining technology; geological disaster prevention
Dr. Yanan Zhang

E-Mail Website
Guest Editor
Department of Aerospace and Mechanical Engineering, The University of Arizona, Tucson, AZ 85721, USA
Interests: peridynamic theory; rock mechanics

Special Issue Information

Dear Colleagues,

Natural rock mass usually occurs in a multi-physics geological environment system under the coupling action of stress, seepage, temperature, and chemical fields. With the development of underground space and the exploitation of mineral resources, rock mass engineering is often affected by dynamic loading due to excavation disturbance and other factors. Under the coupling effect of the above-mentioned multi-fields, the macroscopic and mesoscopic physical and mechanical properties of rock mass are bound to be changed, thus affecting the stability of rock engineering. The macroscopic and mesoscopic mechanics of rock mass under multi-field coupling environment is one of the key scientific and technological problems to be solved in the long-term stability analysis and long-term operation of rock mass engineering. It is also the focus and difficulty of current research on rock mechanics. Therefore, it is necessary to study the macro–meso mechanical response characteristics of rock mass under multi-field coupling, analyze the evolution law of rock macro–meso behavior characteristics, and elaborate on the damage and failure mechanisms of rock mass under the action of multi-field coupling. The research results can further enrich the basic theory of rock mechanics and provide a scientific basis for the stability analysis of rock engineering. In addition, it is significant to promote the sustainable development of underground space development and the mining of mineral resources.

This Special Issue will cover a wide range of topics relating to the macro–meso mechanical response of rock under the action of multi-field coupling. We invite scientists and investigators to contribute original research and review articles addressing the main issues facing the field.

Potential topics include but are not limited to the following:

  1. Evolution characteristics of rock meso-structure under the action of multi-field coupling;
  2. The macro and micro damage characteristics of rock under the action of multi-field coupling and disaster-causing effect;
  3. Evolution law of rock mechanical behavior and evaluation of engineering stability under the action of multi-field coupling;
  4. The damage and failure constitutive model of rock under the action of multi-field coupling;
  5. Intelligent prediction of rock physical and mechanical characteristics and intelligent early warning of engineering geological hazards under multi-field coupling;
  6. Distribution characteristics of surface temperature, stress and strain field of rock under dynamic or static loading conditions;
  7. Energy dissipation characteristics of rock under dynamic impact loading and the prediction of rock mass explosibility;
  8. Artificial intelligence and machine learning solutions for the stability evaluation of rock mass engineering under multi-field coupling;
  9. Numerical simulation analysis and engineering reliability evaluation of rock engineering stability under multi-field coupling.

Dr. Yun Lin
Dr. Chun Yang
Dr. Chuanju Liu
Dr. Yanan Zhang
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. Sustainability 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

  • macro–meso failure
  • rock engineering
  • mechanical behavior
  • multi-field coupling

Published Papers (6 papers)

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Research

14 pages, 5308 KiB  
Article
A Constitutive Model Study of Chemical Corrosion Sandstone Based on Support Vector Machine and Artificial Bee Colony Algorithm
by Yun Lin, Chong Li, Keping Zhou, Zhenghai Guo and Chuanwei Zang
Sustainability 2023, 15(18), 13415; https://doi.org/10.3390/su151813415 - 07 Sep 2023
Viewed by 550
Abstract
The mechanical characteristics of rock are greatly influenced by hydrochemical corrosion. The chemical corrosion impact and deformation properties of the meso-pore structure of rock under the action of different hydrochemical solutions for the stability evaluation of rock mass engineering are of high theoretical [...] Read more.
The mechanical characteristics of rock are greatly influenced by hydrochemical corrosion. The chemical corrosion impact and deformation properties of the meso-pore structure of rock under the action of different hydrochemical solutions for the stability evaluation of rock mass engineering are of high theoretical relevance and applied value. Based on actual data, a support vector machine (SVM) rock constitutive model based on artificial bee colony algorithm (ABC) optimization is constructed in this article. The impact of porosity (chemical deterioration), confining pressure, and other aspects is thoroughly examined. It is used to mimic the triaxial mechanical behavior of rock under various hydration conditions, with high nonlinear prediction ability. Simultaneously, the statistical damage constitutive model and the ABC-SVM constitutive model are used to forecast the sample’s stress–strain curve and compare it to the experimental data. The two models’ correlation coefficients (R2), root mean square error (RMSE), and mean absolute percentage error (MAPE) are computed and examined. The correlation coefficient between the ABC-SVM constitutive model calculation results and the experimental results is found to be larger (R2 = 0.998), and the error is smaller (RMSE = 0.7730, MAPE = 1.51), indicating that it has better prediction performance on the conventional triaxial constitutive relationship of rock. It is a highly promising new way of describing the rock’s constitutive connection. Full article
(This article belongs to the Special Issue Macro–Meso Mechanical Response and Engineering Reliability Evaluation of Rock Mass under the Action of Multi-Field Coupling)
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24 pages, 9604 KiB  
Article
Effects of an Explosion-Proof Wall on Shock Wave Parameters and Safe Area Prediction
by Dingjun Xiao, Wentao Yang, Moujin Lin, Xiaoming Lü, Kaide Liu, Jin Zhang, Xiaoshuang Li and Yu Long
Sustainability 2023, 15(14), 11164; https://doi.org/10.3390/su151411164 - 18 Jul 2023
Viewed by 857
Abstract
To study the influences of an explosion-proof wall on shock wave parameters, an air explosion protection experiment was performed, the time history of shock wave pressure at different positions before and after the explosion-proof wall was established, and the characteristics of shock wave [...] Read more.
To study the influences of an explosion-proof wall on shock wave parameters, an air explosion protection experiment was performed, the time history of shock wave pressure at different positions before and after the explosion-proof wall was established, and the characteristics of shock wave impulse and dynamic pressure were analyzed. The explosion-proof working conditions of five different diffraction angles were simulated and analyzed using Autodyn software(2019R3). Results indicated the following findings. The explosion-proof wall exerted an evident attenuation effect on the explosion shock wave, but considerable pressure still existed at the top of the explosion-proof wall. Overpressure behind the wall initially increased and then decreased. The larger the diffraction angle, the faster the attenuation speed of the diffraction overpressure of the shock wave in the air behind the wall. The history curve of shock wave pressure exhibited an evident bimodal structure. The shock wave diffraction of the wall made the shock wave bimodal structure behind the wall more prominent. The characteristics of the bimodal structure behind the wall (the interval time of overpressure peak Δt was less than the normal phase time of the diffracted shock wave T+) caused the shock wave impulse to stack rapidly, significantly improving its damage capability. The peak value of dynamic pressure on the oncoming surface was approximately two times the peak value of overpressure, and the inertia of air molecules resulted in a longer positive duration of dynamic pressure than overpressure. The maximum overpressure on the ground behind the explosion-proof wall appeared at approximately two times the height of the explosion-proof wall, while the maximum overpressure in the air behind the explosion-proof wall appeared at approximately one times the height of the explosion-proof wall. The relatively safe areas on the ground and in the air behind the wall were approximately 4–4.5 times and 3.5–4 times the height of the explosion-proof wall, respectively. Full article
(This article belongs to the Special Issue Macro–Meso Mechanical Response and Engineering Reliability Evaluation of Rock Mass under the Action of Multi-Field Coupling)
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17 pages, 8063 KiB  
Article
Study on the Prediction of the Uniaxial Compressive Strength of Rock Based on the SSA-XGBoost Model
by Bing Xu, Youcheng Tan, Weibang Sun, Tianxing Ma, Hengyu Liu and Daguo Wang
Sustainability 2023, 15(6), 5201; https://doi.org/10.3390/su15065201 - 15 Mar 2023
Cited by 11 | Viewed by 1558
Abstract
The uniaxial compressive strength of rock is one of the important parameters characterizing the properties of rock masses in geotechnical engineering. To quickly and accurately predict the uniaxial compressive strength of rock, a new SSA-XGBoost optimizer prediction model was produced to predict the [...] Read more.
The uniaxial compressive strength of rock is one of the important parameters characterizing the properties of rock masses in geotechnical engineering. To quickly and accurately predict the uniaxial compressive strength of rock, a new SSA-XGBoost optimizer prediction model was produced to predict the uniaxial compressive strength of 290 rock samples. With four parameters, namely, porosity (n,%), Schmidt rebound number (Rn), longitudinal wave velocity (Vp, m/s), and point load strength (Is(50), MPa) as input variables and uniaxial compressive strength (UCS, MPa) as the output variables, a prediction model of uniaxial compressive strength was built based on the SSA-XGBoost model. To verify the effectiveness of the SSA-XGBoost model, empirical formulas, XGBoost, SVM, RF, BPNN, KNN, PLSR, and other models were also established and compared with the SSA-XGBoost model. All models were evaluated using the root mean square error (RMSE), correlation coefficient (R2), mean absolute error (MAE), and variance interpretation (VAF). The results calculated by the SSA-XGBoost model (R2 = 0.84, RMSE = 19.85, MAE = 14.79, and VAF = 81.36), are the best among all prediction models. Therefore, the SSA-XGBoost model is the best model to predict the uniaxial compressive strength of rock, for the dataset tested. Full article
(This article belongs to the Special Issue Macro–Meso Mechanical Response and Engineering Reliability Evaluation of Rock Mass under the Action of Multi-Field Coupling)
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14 pages, 4613 KiB  
Article
Estimation of the Mean Trace Length of Discontinuities in an Underground Drift Using Laser Scanning Point Cloud Data
by Yigai Xiao, Chengye Yang, Jielin Li, Keping Zhou, Yun Lin and Guoquan Sun
Sustainability 2022, 14(23), 15650; https://doi.org/10.3390/su142315650 - 24 Nov 2022
Cited by 3 | Viewed by 874
Abstract
In the drifts of underground metal mines, the extraction of rock mass discontinuity characteristics from point cloud models generated with laser scanning has become the main approach. However, the exposure of discontinuities is restricted in drifts, and the size of discontinuities cannot be [...] Read more.
In the drifts of underground metal mines, the extraction of rock mass discontinuity characteristics from point cloud models generated with laser scanning has become the main approach. However, the exposure of discontinuities is restricted in drifts, and the size of discontinuities cannot be measured directly. Therefore, it is necessary to use a reasonable sampling tool to estimate the mean trace length of the discontinuities that are mapped in the point cloud model. In this paper, a method to estimate the mean trace length of discontinuities using a three-dimensional (3D) model of a drift (3DM) is proposed. Through the point cloud data of a drift obtained using 3D laser scanning, the information on discontinuities in the surrounding rock was extracted; then, the mean trace length was estimated using 3DEC to set sampling windows on the roof and sidewall in the 3DM. By analyzing the difference between the circular sampling window and the rectangular sampling window using simulated cases, the estimation results showed that the mean trace length obtained using circular measuring windows in the 3DM was closer to the true trace length. Finally, the method was used in a practical engineering case in Jianshan Iron Mine, Panzhihua, Sichuan, China. Full article
(This article belongs to the Special Issue Macro–Meso Mechanical Response and Engineering Reliability Evaluation of Rock Mass under the Action of Multi-Field Coupling)
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13 pages, 2402 KiB  
Article
Simulation Study on the Size Effect of Secant Modulus of Rocks Containing Rough Joints
by Mingzhi Sun, Gaojian Hu, Jianli Hu, Huanqing Zhang, Yu Li, Weiping Wang and Guangbin Zhang
Sustainability 2022, 14(23), 15640; https://doi.org/10.3390/su142315640 - 24 Nov 2022
Viewed by 849
Abstract
The secant modulus reflects the ability of rocks to resist deformation, and it is mostly used to evaluate rock strength and deformation evolution. Due to the existence of rough joints in rocks, the secant modulus changes according to rock size. Therefore, it is [...] Read more.
The secant modulus reflects the ability of rocks to resist deformation, and it is mostly used to evaluate rock strength and deformation evolution. Due to the existence of rough joints in rocks, the secant modulus changes according to rock size. Therefore, it is very important to effectively obtain the secant modulus to evaluate rough-jointed rock deformation. In this paper, the regression analysis method is used, and 25 sets of simulation models are set up to discuss the influence of joint roughness and rock size on the rock secant modulus. The research shows that the secant modulus increases exponentially with the increase in rock size, and it increases as a power function with the increase in joint roughness. The characteristic size of the secant modulus increases exponentially with the increase in joint roughness, also as a power function. This paper gives the specific forms of these four relationships. The establishment of these relationships enables the prediction and calculation of the secant modulus and provides guidance for rock deformation analysis. Full article
(This article belongs to the Special Issue Macro–Meso Mechanical Response and Engineering Reliability Evaluation of Rock Mass under the Action of Multi-Field Coupling)
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12 pages, 3063 KiB  
Article
Microscopic Damage to Limestone under Acidic Conditions: Phenomena and Mechanisms
by Xingming Chen, Xiaoping Liu, Haoming Luo, Linjian Long and Chuanju Liu
Sustainability 2022, 14(18), 11771; https://doi.org/10.3390/su141811771 - 19 Sep 2022
Cited by 3 | Viewed by 1959
Abstract
In an acidic environment, the mineral components in rock begin to break down. As a result, the microstructure will be damaged, and then the mechanical properties will deteriorate, which will eventually have a negative effect on engineering stability. In order to study acid [...] Read more.
In an acidic environment, the mineral components in rock begin to break down. As a result, the microstructure will be damaged, and then the mechanical properties will deteriorate, which will eventually have a negative effect on engineering stability. In order to study acid damage’s effect on this kind of rock, limestone samples were acidified for 0 days, 5 days, 10 days, 15 days, and 20 days. The microstructure changes in the limestone after acidification were studied via the wave velocity test and electron microscope scanning, and the damage deterioration mechanism was revealed. The results show that the acoustic signal of acidified samples has an obvious absorption effect at high frequency, and the surface pore structure of acidified samples shows fractal characteristics. The P-wave velocity, main peak amplitude, and fractal dimension of the acidified samples did not gradually decrease with time; however, there was a short-term strengthening phenomenon during immersion, which was mainly caused by the formation of CaSO4 crystals. Full article
(This article belongs to the Special Issue Macro–Meso Mechanical Response and Engineering Reliability Evaluation of Rock Mass under the Action of Multi-Field Coupling)
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