Article
Construction & Building Technology
Fengqiang Gong, Jinhao Dai, Lei Xu
Summary: In this study, qualitative and quantitative analysis of 1114 rockburst cases was conducted. It was found that rockburst occurs more frequently in hard, complete, dry, and unweathered rocks. The Human-Rock-Environment three-element mechanism of rockburst was proposed, and the rationality and defects of the traditional strength-stress ratio criterion were investigated. A strength-stress coupling criterion was then proposed, which showed higher accuracy compared to the traditional criterion.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2023)
Article
Engineering, Geological
Lukasz Wojtecki, Sebastian Iwaszenko, Derek B. Apel, Miroslawa Bukowska, Janusz Makowka
Summary: This study uses machine learning algorithms to assess the rockburst hazard in a hard coal mine. The decision tree and neural network models are proven to be effective in distinguishing rockbursts from tremors with high accuracy.
JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING
(2022)
Article
Engineering, Aerospace
Andrea Viale, Gilles Bailet, Matteo Ceriotti, Colin McInnes
Summary: Future space ventures may require utilizing resources from near-Earth asteroids and may involve establishing habitats inside these asteroids. The concept of using a siphon to extract material from the asteroid interiors and create cavities is proposed in this paper.
ADVANCES IN SPACE RESEARCH
(2021)
Article
Engineering, Geological
Lianpeng Dai, Yishan Pan, Chengguo Zhang, Aiwen Wang, Ismet Canbulat, Tianwei Shi, Chunchen Wei, Ronghuan Cai, Feiyu Liu, Xuepeng Gao
Summary: Risk evaluation of roadway rockburst is important for managing and controlling rockburst during mining operations. By establishing a mechanical analysis model and calculation formulas, a quantitative evaluation method based on critical mining stress index was proposed and validated in a coal mine in Shandong, China.
ROCK MECHANICS AND ROCK ENGINEERING
(2022)
Review
Engineering, Civil
Mahdi Askaripour, Ali Saeidi, Alain Rouleau, Patrick Mercier-Langevin
Summary: Technical challenges in underground mining increase in complexity as mining goes deeper. One major challenge is rock mass stability and the risk of rockburst events. To overcome these challenges, advanced solutions and best practices must be developed. Rockbursts are common in underground mines and pose a threat to safety and operations. Understanding the conditions and mechanisms leading to rockbursts, and improving risk assessment methods, is necessary. This paper provides a summary of the current understanding of rockbursts in the mining industry, discusses their classifications and mechanisms, and reviews empirical prediction methods.
Article
Environmental Sciences
Ratan Das, T. N. Singh
Summary: In this research, tunnel physical models were tested under compression to predict rockburst hazard by analyzing fracture propagation patterns. The study found that as loading progressed, the decrease of Ib value served as a precursor to predict rockburst events.
ENVIRONMENTAL EARTH SCIENCES
(2022)
Article
Geochemistry & Geophysics
Shuai Ren, Guofeng Yu, Yong Luo, Dechao Lu
Summary: This study explores the prevention and control effect of superhigh-water backfilling mining on rockburst using theoretical analysis, numerical simulation, and field monitoring. The main influencing factors for inducing rockburst are determined to be mining depth, mechanical properties of coal and rock mass, overburden conditions, geological structure, and roadway layout of the working face. It is found that superhigh-water backfilling mining can effectively reduce the energy accumulation degree of coal seams and prevent the occurrence of impact dynamic disasters.
Article
Geosciences, Multidisciplinary
Jiahao Sun, Wenjie Wang, Lianku Xie
Summary: This study proposes a new method for predicting short-term rockburst in underground geotechnical engineering. By improving the cloud model and using the RF-CRITIC algorithm, the model achieved high prediction accuracy and was validated in real cases. The proposed model has better predictive capability compared to existing machine learning models and can provide valuable guidance for the safe construction of underground geotechnical engineering.
NATURAL RESOURCES RESEARCH
(2023)
Article
Construction & Building Technology
Peng -Xiang Li, Bing-Rui Chen, Ya-Xun Xiao, Guang-Liang Feng, Yang-Yi Zhou, Jin-Shuai Zhao
Summary: Reasonable tunnel spacing is crucial in deeply buried tunnels to reduce the risk of rockburst occurrence. A study was conducted to investigate the effects of tunnel spacing on rockburst and microseismic activity during TBM excavation. It was found that increasing the spacing between twin tunnels significantly decreased rockburst frequency and microseismic radiated energy.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2023)
Article
Geochemistry & Geophysics
Jiazhu Liu, Yongtao Gao, Fan Chen, Zhensheng Cao
Summary: This study explores the rockburst mechanism and predicts rockbursts in the Wulaofeng deep-buried highway tunnel. In situ stress measurement and mechanics tests were conducted, and scanning electron microscopy (SEM) was used to analyze the rockburst mechanism from a microscopic perspective. The results show that the mechanical parameters of granite rocks in the deep-buried section are larger, and the fractured morphology mainly comprises sheet and monolithic block. The rockburst grade is moderate-heavy, with higher rockburst risk at the vault and right spandrel of the cross section.
Article
Construction & Building Technology
Zhechao Wang, Jie Liu, Shengran Zhong, Liping Qiao, Wei Li, Jiafan Guo
Summary: A 3D fine hydrogeological modeling method applicable to large underground engineering was proposed in this study. The method adequately considers the complexity of geometric parameters and the non-uniformity of the spatial distribution of physical parameters in the geological zone. The modeling method has been successfully applied to a large underground water-sealed oil storage engineering under construction.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2023)
Article
Chemistry, Multidisciplinary
Shuangqiao Zhan, Yuhang Liu, Ming Xiao, Xingwu Du, Yuncai Chen, Tian Xing, Ci Kong
Summary: Investigating the mechanism and measures of controlling rockburst in deeply buried underground caverns is crucial for ensuring personnel safety and reducing equipment damage, as well as making the project more efficient. This study proposes mathematical models for simulating borehole stress relief and anchor reinforcement, and demonstrates their effectiveness through engineering examples.
APPLIED SCIENCES-BASEL
(2023)
Review
Geosciences, Multidisciplinary
Jean Donald Minougou, Raoof Gholami, Pal Andersen
Summary: Hydrogen is expected to play a key role in mitigating global warming and balancing energy supply and demand. Salt caverns are considered a viable option for large-scale hydrogen storage, although challenges may arise when salt deposits are mixed with non-soluble strata.
EARTH-SCIENCE REVIEWS
(2023)
Article
Construction & Building Technology
Pengxiang Li, Jinshuai Zhao, Wankui Bu, Wenjing Niu, Pinpin Liu, Minghong Sun
Summary: Choosing reasonable control measures can effectively prevent and mitigate rockburst risks, reducing time and engineering costs. The susceptibility of tunnels excavated by TBMs to rockbursts requires urgent research on mitigation measures.
Article
Chemistry, Multidisciplinary
Yu Wang, Jiachen Wang, Feng Peng
Summary: In this study, numerical analysis was conducted using finite element software to investigate the rationality of backfill parameters and the effectiveness of supports in tunnel construction through large karst caves under the influence of groundwater. Orthogonal experiments and fuzzy decision theory were used to propose a backfill parameter design method, which was validated in an actual project. The results showed that the optimal backfill parameters effectively reduced displacement around the tunnel, providing valuable references for future projects.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Multidisciplinary
Longjun Dong, Xiaojie Tong, Ju Ma
Summary: Detecting abnormal regions in complex structures in underground space engineering is a challenging task. By utilizing an improved 3D tomography method and combining passive acoustic emission acquisition with active ultrasonic measurements, it is possible to accurately and quantitatively identify and image abnormal regions, thereby improving detection reliability.
Article
Mathematics
Longjun Dong, Lingyun Zhang, Huini Liu, Kun Du, Xiling Liu
Summary: The b value of acoustic emission is an important parameter for predicting rock fractures. This study analyzed the changes in b value during rock failure and investigated the characteristics of acoustic emission events. The results showed that b value calculated using the average amplitude had higher accuracy, and an interval of event counts of 200 was suggested for b value calculations. The study also found that the b value decreased before fracture and decreased with increasing confining pressure.
Article
Engineering, Multidisciplinary
Yichao Rui, Zilong Zhou, Xin Cai, Longjun Dong
Summary: In this paper, a robust method for acoustic emission source location is proposed using the DBSCAN principle. The method calculates source coordinates and clusters them to improve location accuracy, and the results show its effectiveness and robustness.
Article
Chemistry, Analytical
Yueyuan Su, Longjun Dong, Zhongwei Pei
Summary: Damage detection is crucial for maintenance of automated machines. This paper proposes an acoustic emission tomography method that combines the fast sweeping method and the limited-memory Broyden-Fletcher-Goldfarb-Shanno method to detect cavity damage in automated machines. The results show the effectiveness of this new approach in real-time detection of cavity damage in continuous and homogeneous materials.
Editorial Material
Green & Sustainable Science & Technology
Longjun Dong, Yanlin Zhao, Wenxue Chen
Article
Geochemistry & Geophysics
Jinchun Xue, Zhuyu Zhao, Longjun Dong, Jiefang Jin, Yingbin Zhang, Li Tan, Ruoyan Cai, Yihan Zhang
Summary: Both chemical corrosion and axial compression have critical influences on the internal microstructure of rock, as well as the physical and mechanical properties. The strength of rock resistance to impact failure reaches its maximum when the pH of the solution is 7 and the axial pressure is 12.6 MPa. Acidic and alkaline environments are harmful to rocks during the initial impact, while neutral environments have little effect.
Article
Mathematics
Feiyue Wang, Xin Xie, Zhongwei Pei, Longjun Dong
Summary: A time-difference adjoint tomography method was developed and its effectiveness was validated through numerical experiments and laboratory-scale acoustic experiments. The method shows higher efficiency and robustness compared to traditional methods, providing clearer indications of anomalous areas in rocks.
Article
Mathematics
Daoyuan Sun, Yifan Wu, Longjun Dong, Qiaomu Luo
Summary: This study proposes a new method for locating heat-concentrated sources using temperature differences and simplifying nonlinear location equations through analytical solutions, which improves the accuracy of localization. Through numerical examples, it is shown that the proposed analytical solutions have higher accuracy compared to iterative methods. This method can be applied to heat source localization in more complicated conditions.
Article
Engineering, Environmental
Fang Yan, Longjun Dong, Bing Wang, Ji Ge, Ben Wang
Summary: A novel risk calculation method named RM based on field theory is proposed to improve the accuracy and reasonability of 3D risk assessments in the chemical industry. Case study results of fire and explosion accidents demonstrate the effectiveness of RM in providing more accurate results.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2022)
Article
Engineering, Geological
Longjun Dong, Longbin Yang, Yongchao Chen
Summary: Microseismic/acoustic emission (MS/AE) location technology is a powerful means to study the spatial evolution characteristics of rock fracture and early warning of geological hazards. This study used the velocity-free MS/AE source location method to investigate the variation in MS/AE location accuracy and the spatial evolution characteristics of granite fracture under complex stress conditions. The results showed that the variation of wave velocity caused by granite fracture is a key factor for the variation of location accuracy. The study also found consistency and difference in the evolution process and results of granite microcracks under uniaxial and biaxial stress conditions.
ROCK MECHANICS AND ROCK ENGINEERING
(2023)
Article
Chemistry, Analytical
Longjun Dong, Huanyu Zhu, Fang Yan, Shuijin Bi
Summary: In this study, a rock instability risk field model using microseismic monitoring data is proposed to create effective risk management. The rock instability risk is presented visually in 3D visualization. The in-situ microseismic monitoring data is collected and analyzed to calculate peak ground velocity (PGV), peak ground acceleration (PGA), energy flux, energy, and seismic moment. The weights of PGV, PGA, and energy flux are determined using the analytic hierarchy process (AHP) to calculate risk severity. The Copula function is used to solve the joint probability distribution function of energy and seismic moment. The spatial distribution characteristics of risk are obtained by data fitting, and a three-dimensional (3D) risk field model is established. The established risk field is verified by comparing monitoring data without disturbance and blasting data with disturbance. The proposed risk field method can reasonably and accurately evaluate the regional risk of rock instability, providing a theoretical foundation for the risk prediction and management of rock instability in deep mining.
Article
Environmental Sciences
Longjun Dong, Jiachuang Wang
Summary: Intelligent Safety Ergonomics (ISE) is a new direction for safety ergonomics in the era of big data, providing a deeper understanding of human-machine-environment systems and new research methods. This research not only helps safety researchers and practitioners to correctly understand the concept of ISE, but it also injects energy and vitality into the development of safety ergonomics and cleaner production.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2023)
Article
Engineering, Electrical & Electronic
Longjun Dong, Shuijin Bi, Yihan Zhang, Qingchun Hu, Huanyu Zhu
Summary: A new time picking method called the wavelet-STA/LTA-AIC (WSA) picker, which combines the advantages of wavelet transform, STA/LTA method, and Akaike information criterion, is proposed in this study. The performance of the WSA picker in picking arrival times is assessed by locating both artificial sources (pencil-lead breaking on marble panel) and natural sources (tensile cracking on granite). The WSA picker shows less location error compared to the AIC picker in all experiment results.
IEEE SENSORS JOURNAL
(2023)
Article
Metallurgy & Metallurgical Engineering
Long-jun Dong, Xian-hang Yan, Jian Wang, Zheng Tang
Summary: Combining microseismic multiparameter analysis, high-magnitude microseismic event distribution, and microseismic tomography, it is possible to effectively identify hazard precursor related to rockburst in underground mining. A self-developed microseismic monitoring system was implemented in a Shaanxi underground mine in China, and a correlation model was established between velocity anomalies and mining activity regions based on tomography results. Risk areas were determined by analyzing multiple parameters, including rock fracture parameter, MS activity, tomography results, high-magnitude microseismic event distribution, and in-site survey. The results showed that microseismic information can serve as an early warning identification of hazards and has wide future applications.
JOURNAL OF CENTRAL SOUTH UNIVERSITY
(2023)
Article
Mining & Mineral Processing
Longjun Dong, Qing Tao, Qingchun Hu, Sijia Deng, Yongchao Chen, Qiaomu Luo, Xihong Zhang
Summary: This study presents an AE source location method for structures with unknown empty areas, increasing accuracy by identifying the shape, size, and location of empty areas. Experimental results demonstrate a 78% improvement in location accuracy compared to existing methods.
INTERNATIONAL JOURNAL OF MINING SCIENCE AND TECHNOLOGY
(2022)