Roof Conditions Research Articles

Research and application of hydraulic fracturing axial roof cutting technology for gently inclined hard roof based on abrasive jet

In order to explore a new method and mode of gently inclined hard roof treatment, the hydraulic fracturing axial roof cutting technology based on abrasive jet is introduced, and the key technical parameters of abrasive jet axial cutting and fracturing are determined based on indoor experiments and field industrial experiments. Taking the mining of working face under the condition of hard roof in Kuangou Coal Mine as the background, the implementation process and the effect of mining process are tested by means of water pressure gauge, drilling peep and observation well water level observation, mi-croseismic monitoring, support fracture monitoring and coal stress monitoring. The research results show that the key technical parameters of slotting and fracturing are mastered in the axial cutting test of abrasive jet. Wherein the kerf depth is 200 m, the kerf length is 300 m, the kerf pressure is 40–50 mpa, the fracturing pressure is 50–55 mpa, and the fracturing time is 20–30 min. After grooving fracturing, the cracks in the roof strata are effectively generated and expanded, which destroys the integrity of the roof, and the fracturing radius is 10–20 m. During the mining period, compared with the tradi-tional blasting technology, the concentrated area of microseismic events was shifted from 80 m in front of the working face to 130 m after the combined treatment of abrasive jet axial roof cutting and blasting, and the microseismic energy release was mainly small energy events. After the application of abrasive jet axial roof cutting and scour prevention technology in hard roof, the periodic weighting step is obviously reduced, the influence range of mining stress and stress concentration coefficient are obviously reduced, the activity intensity and dynamic load effect of surrounding rock are obviously weakened. The research results provide a basis for effective prevention and control of rockburst disasters under the condition of hard roof.

Study on wind load characteristics of gable roof under tornado

This research simulates the behavior of a tornado on a double-slope roof using the Ward tornado generator and the \\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$SS{T_{k - \\omega }}$$\\end{document} turbulence model. The effects of different ground roughness, slope angle, and wind field position on the tornado load characteristics of gable roofs were studied. The tornado-generating device established the tornado field under various working conditions, and the simulation results were compared with the experimental data to verify the reliability of the simulation results. The wind pressure distribution of gable roofs with four different slope angles was analyzed to find the most unfavorable roof condition of the tornado field. The gable roof’s aerodynamic and wind pressure characteristics at various places in the tornado field were explored by comparing the wind pressure coefficients at five distinct positions on smooth and rough ground. The lift-drag and wind pressure coefficients of five kinds of ground roughness were calculated to determine the influence of different ground roughness on the aerodynamic force and partial pressure distribution of the gable roof. The ground roughness reduces the vortex ratio because the ground roughness reduces the maximum tangential wind speed and the radius of the vortex core. Therefore, the gable roof’s suction increases as the updraft increases.

Application of Supervised Learning Methods and Information Gain Methods in the Determination of Asbestos–Cement Roofs’ Deterioration State

This study introduces an innovative approach to evaluate the condition of asbestos–cement (AC) roofs by integrating field data with five distinct supervised learning models: decision trees, KNN, logistic regression, support vector machine, and random forest. A novel methodology for assessing the importance of 380 reflectance bands was employed, offering fresh insights into the key indicators of AC roof deterioration. The research systematically organized and prioritized reflectance bands based on their information gain, optimizing both the selection of relevant bands and the performance of the models in differentiating between low and high intervention priority (LIP and HIP) roofs. The decision tree model, when applied to the top 10 most relevant bands, achieved the highest cross-validation accuracy of 76.047%, making it the most effective tool for identifying AC roof conditions. Additionally, the random forest model demonstrated strong performance across various band groups, further validating its utility. Utilizing the open-source software Weka (version 3.8.6), this study adeptly executed relevance evaluation and model implementation, providing a practical and scalable solution for material characterization, especially in regions where resources for spectral and hyperspectral image analysis are limited. The findings of this study offer valuable tools for government and environmental authorities, particularly in developing countries, where efficient and cost-effective AC roof assessment is crucial for public health and safety. The methodology is adaptable to different urban environments and climatic conditions, supporting global efforts in asbestos management, especially in countries where asbestos regulations are newly implemented. Organized within the CRISP-DM framework, this paper details the methodological phases, presents compelling results on reflectance band relevance, evaluates machine learning models, and concludes with prospects for future research aimed at enhancing asbestos detection and removal strategies.

Model test of extreme deformation and failure mechanism of automatically formed roadway under thick-hard roof

Automatically formed roadways (AFR) are highly susceptible to extreme deformation and damage under thick-hard roof geological conditions. Taking the thick-hard roof of the Yushuquan coal mine as a case study, this paper mainly studies the extreme deformation, failure mechanism, and control technology of the AFR. First of all, through on-site monitoring, the maximum vertical convergence rate of the AFR in thick-hard roof reaches 44.8 mm/d. The failure of the AFR mainly focuses on the roof sinking, coal rib rupture, and deformation of gangue prevention structure. Then, a model test was employed to analyze the deformation characteristics of the AFR, including the roadway roof, roadway floor, solid coal rib, and gangue rib. Furthermore, the failure mechanism of the AFR in thick-hard roof is explored. The model test shows that the rotation and subsidence of the roadway roof strata are the main factors causing the AFR damage. In turn, the subsidence of the roadway roof strata is controlled by the movement and distribution characteristics of the hard rock blocks within the cutting range. Eventually, cooperative control technology was proposed, including increasing the gangue volume in the goaf and increasing the coal rib strength to control the extreme deformation of the AFR in thick-hard roof conditions. Field engineering application demonstrates that the deformation of AFR surrounding rock is effectively controlled under thick-hard roof. The research findings can serve as a valuable reference for the prevention and control of the stability of AFR under complex geological conditions.

Optimization of a coal mine roof characterization model using machine learning

Predicting areas of increased propensity for roof deformation is crucial for the proactive management of geotechnical risk in underground coal mines. Current practices rely largely on assessing rock mass strength or characterization indices in isolation. Validation of applied ground support systems typically, and in part, comprises a review of observed deformation and analysis of extensometer data from adjacent previously mined areas. This information is seldom routinely assessed relative to the rock mass strength or characterization data. Typically, roof deformation is a response to several combining factors such as mining-induced stress, roof lithology, rock mass strength, and roadway geometry. Therefore, it is optimal to develop an approach to integrate these factors to quantify their relative significance to causing roof deformation, with the goal of establishing a reliable quantitative model for predicting roof deformation.This paper provides a case study in machine learning using Artificial Neural Network (ANN) and geophysical log data information from an underground coal mine located in the Bowen Basin (Australia), whereby a suite of parameters is considered pertinent to excavation stability. This machine learning predictive model analyses key geotechnical parameters including field and mining-induced stress, rock mass strength, clay/shale content, and strata monitoring data to identify strata hazards. Finally, the classification model can indicate the risk of roof displacement and observed roof deformation as communicated through a contoured ‘geotechnical hazard map’. This hazard map can assist site engineers understand roof conditions in underground coal mining and thus put in place operational mitigation processes to reduce geotechnical risk on mining. This could potentially improve the identification of high-risk areas and inform future bolting requirements to maintain a safe working environment and minimise production interruptions.

Research on the Twin-Link Stepping Temporary Support Mechanism and the Repeatable Supportability of the Roof in the Underground Excavation Roadway of Coal Mine

The coal mine’s underground heading roadway suffers from a lack of effective temporary support, which contributes to low efficiency and inadequate safety in excavation operations. This paper presents a novel approach for roadway excavation, support, and anchoring, utilizing the twin-link stepping temporary support method. To address the stability requirements of the roadway roof in this support method, a numerical model of the excavation face was developed using the BBM (Bonded Block Model) method in 3DEC 7.0 software. Through numerical simulation, the repeatability of the twin-link stepping temporary support process was assessed for various roadway roof rock types, thicknesses, and burial depths. By considering aspects such as roof fragmentation, roof convergence, and relative displacement between the direct roof and the bedrock, the range of roadway roof repeatability was determined. The proposed twin-link stepping temporary support process, along with its applicable roof conditions, establishes a theoretical foundation for implementing the parallel operation mode in coal mine underground heading roadways, thereby significantly enhancing safety and efficiency.

Study on the dynamic response and roadways stability during mining under the disturbance of hard roof break

Under the condition that the working face was directly covered with hard roof, the abrupt breaking of hard roof release significant amount of energy, thus prone to triggering dynamic disasters such as roadway instability or rockburst. This paper based on the engineering background of the Xieqiao Coal Mine's 11,618 working face, a numerical simulation method was put forward to study the dynamic response of roadway under the disturbance of hard roof breaking and proposed an evaluation index IC for roadway stability. Research indicates that the elastic energy released during the periodic weighting of the hard roof is higher than that released during the first weighting. Under the dynamic disturbance caused by hard roof breaking, the peak stresses of the roadway was slight decreased, accompanied by a significant increase in the range of stress concentration and plastic zone expansion. Roadway deformation patterns are significantly influenced by hard roof breaking, with noticeable increases in deformation on the roof and right side. During the period of hard roof breaking, the possibility of instability of the roadway increase significantly due to the disturbance caused by the dynamic load. The research results reveal the instability mechanism of roadway under the condition of hard roof, and provide a more reliable basis for evaluating the stability of roadway.

EVELOPMENT OF THE METHODS FOR SURVEYING THE TECHNICAL CONDITION OF THE RESIDENTIAL BUILDINGS’ ROOFS FOR THE PLACEMENT OF ELECTRIC SOLAR BATTERIES

Problem statement. In Ukraine, green energy, in particular, solar power plants, is developing rapidly in recent years. Their power depends on the area of solar panels, so large land plots are required for powerful plants. In the context of urban development, there are almost no free plots. It is proposed to place such stations on the roofs of residential buildings. The problem is that in order to implement this, it is necessary to investigate the technical condition of the roof structures. To do this, it is necessary to develop technique for surveying the roofs’ technical state. The purpose of the work is to classify the survey objects, with further development of the visual observation methodology, instrumental measurements, selection of facts, and establishment of links between them. Method. The methods of visual observation, instrumental measurements, data accumulation, selection of facts, and establishing links between them were used to develop the classification of the survey objects. The types of residential buildings that were built from the 30s to the 80s of the last century on the territory of Ukraine were studied. The investigation of urban residential buildings for the purpose of their classification was conducted according to consumer and operational characteristics. The result of the research is the development of a technique for the application of research methods such as visual inspection, instrumental measurements. A technique for surveying the technical state of those types of roofs that were included in the classification based on the study of existing residential buildings was developed. The scientific novelty is that the technique is developing for the first time for surveying the technical state of roofs and garrets, for the tasks of placing electric solar stations on their surface. Practical value. With the help of the developed technique, it will be possible to conduct a survey of the technical condition of roofs and garrets for the placement of solar stations on their surface by all organisations that are engaged in such work and have the necessary experience and tools. Conclusions. A classification of types of roofs and garrets of residential buildings was developed for the possible location of electric solar batteries on their surface, as well as a technique for surveying the technical state of roofs and garrets structures was developed.

An experiment to determine the width of coal pillar when mining seams under hard-to-cave main roof conditions

Ensuring roadway stability is one of the keys to determining production efficiency and labor safety in Vietnam's underground coal mines. However, it is difficult to determine the reasonable width of coal pillars to protect the roadway and roadway deformation therefore usually occurs. Especially when exploiting coal seams in the deep and hard main roof conditions, the deformation of the roadway becomes even more serious, affecting labor safety. Using the mining data of Seam #10 at Ha Long Coal Company as the reference case of this research, a scale model of equivalent materials has been conducted. The stability of the roadway has been simulated and analyzed in different widths of coal pillars. The results show that, when exploiting coal seams under a hard-to-cave roof, very thick and long roof consoles are formed in the gob. The stability of the coal pillar and roadway is influenced by the sagging, rotation, and fracturing of the main roof in the gob. Under the impact of static and dynamic loads of the main roof, a coal pillar of less than 40 m width is not stable enough to protect the roadway. As the width of the coal pillar decreases, more apparent cracks in the roadway roof appear, and the coal blocks on the walls of the roadway are broken and wider. Visual monitoring results show that a coal pillar of more than 40 m in width can ensure the stability of the roadway. However, it causes a much more loss of coal in the pillars, a challenge for further research.

The analysis of long-time-exposed tars from wood shingles from church roofs and facades in mid-Sweden

ABSTRACT Poor condition of roofs in terms of decay of shingles and loss of tar-based surface treatments has been revealed in a number of churches at various geographical locations in mid-Sweden. The condition of tars obtained from shingles of selected churches in mid-Sweden were analysed and obtained data were compared with geographical locations of the churches. According to gas chromatography-mass spectroscopy result, dehydroabietic acid was the dominant compound found in the exposed tars from the churches except in church of Malung where similar amounts of retene was found. Oxidised resin acids were found in exposed tars from the churches but not in commercially available pit burned tar. Tar from church shingles had higher char residues than the pit burned tar which was totally consumed when heated under nitrogen gas up to 750°C using thermogravimetric analysis. Scanning electron microscopy with energy dispersive X-ray spectrometer analysis revealed higher amounts of silicates in some exposed tars; however, these compounds constituted only a minor portion of the organic matter in these specimens. Based on the data obtained in the study other factors rather than simply geographical location of churches seemed to be of importance to explain differences of the investigated properties of the church tars.

Study on Deformation Response Law of Surrounding Rock in Solid Backfill Mining Stope

To fully control the roof and surface and reduce the ecological damage caused by mining, it is necessary to understand the deformation response law of the surrounding rock in solid backfill mining. The similarities and differences of overburden movement characteristics between natural caving method and solid backfill method are analyzed and compared by means of on-site investigation and monitoring, theoretical derivation and analysis, numerical simulation and effect verification. The control mechanism of backfill mining on the roof is clarified, and the relationship between stope roof displacement and support pressure of backfill body is established. Furthermore, the mechanical conditions of immediate roof in equilibrium state during backfill mining are established. The FLAC3D simulation indicates that the solid backfill mining face has a concentrated stress peak located 15 m ahead of the coal wall. Within the range from 0 to 5 m, the abutment pressure is reduced gradually. However, within the range from 5 to 15 m, the abutment pressure is increased evidently. The stress concentration is located 35 m behind the working face. With continuous backfilling of the goaf, the maximum displacement occurs in the backfill body near the working face. The total deformation of the surrounding rock in the goaf is reduced by 58%. The total deformation of coal wall is reduced by ∼37.5%. The subsidence coefficient is reduced from 0.59 to 0.013 by using the backfill mining technology. The research results provide theoretical guidance and reference for roof control and ecological protection of backfill mining.

Thermography of the extensive green roof of multifunctional building Brno

The article describes the state of the extensive green roof in winter. It deals with heat transmission on a vegetated roof with a vegetation layer thickness of up to 10 cm. The case study describes the condition of the green roof, which was implemented a year ago on a multi-functional building on Bratislavská Street in Brno. A pre-grown vegetation carpet on a coir mat was installed on the roof. A control segment of the vegetation roof is installed in the roof structure, the influence of which was also monitored as part of the preparation of the article. The article follows the control measurement of humidity in a green roof and the investigation of the influence of the vegetation composition on the thermal-technical properties of the roof.

Native Forbs Grown Under Green Roof Conditions Have Altered Biomass Allocation Strategies and Can be Supported by Commercially-Available Arbuscular Mycorrhizal Fungi

Nature-based solutions like green roofs can help sequester carbon dioxide from the atmosphere, thereby alleviating some of the negative consequences of global warming. Because plants on extensive green roofs typically have short stature and lower biomass than individuals growing on the ground, they are often overlooked in calculations of urban carbon sequestration. However, plants grown on environmentally stressful green roofs may be using alternative physiological strategies, allocating more resources like carbon to below-ground structures than they would be if grown in similar ground-level conditions. Furthermore, overall forb growth and biomass accumulation could be enhanced if plants are grown in the presence of symbiotic fungi that helps obtain water and nutrients. In this experiment, we grew ten native prairie forbs in simulated green roof and ground-level environments to test the hypotheses that plants on green roofs allocate more biomass to below-ground structures in order to overcome stressful environmental conditions and are aided by symbiotic arbuscular mycorrhizal fungi (AMF). We found that commercially available AMF provided significant benefits to some plant species and that plants grown in green roof conditions did in fact allocate more resources below ground compared to their ground-level counterparts. Our results suggest that the ability of green roofs to play a part in sequestering atmospheric carbon via biomass allocation is being largely overlooked and that this contribution to an important ecosystem service should be considered when advocating for increased green roof construction globally.

Research on the impact and control techniques of gangue rib in hard roof

Blocking gangue support is a key link in gob-side entry retaining by roof cutting and pressure release (GERRC), and its stability is related to the success or failure of the retained roadways. Due to the severe dynamic pressure and high hardness of the gangue during hard roof collapse, serious bending and toppling instability of the section steel can easily occur. Since potential safety hazards exist in gangue ribs, the 1105 panel of the Qiuji Coal Mine is used as the engineering background, a mechanical model of gangue impact is constructed based on four forms of gangue motions, and the failure of a blocking gangue support structure under hard roof conditions is explored with ABAQUS software. The results indicate the following: (1) Section steel experiences transient bending by gangue impact, and will further bending failure or toppling instability occurs under roadway roof subsidence and gangue compression. (2) This impact causes the steel bar mesh to generate a significant transient lateral force, which couples with gangue compression, resulting in instability and slip of the section steel. To this end, three optimized components have been proposed, sliding yield I-steel, reinforced bolts and link components, and the optimal parameters are obtained. The results of the numerical simulation and field tests suggest that the new blocking gangue support structure has a good support effect, and the field deformation of the gangue rib is reduced by 86%. No failure of I-steel occurs with the new blocking gangue support structure. This study can provide a reference for the control of gangue ribs in GERRC under similar geological conditions.

Sistem Pengendalian Jemuran Otomatis berbasis IoT dengan Logika Fuzzy untuk Pengkondisian Cuaca

Household activities such as doing laundry are routine tasks carried out by people on a daily basis. Many individuals often leave their clothes out to dry all day due to their busy work schedules outside the home. To ensure that clothing remains unaffected by unexpected weather changes, there is a need for a device capable of automatically managing the laundry based on weather conditions. The research aims to develop an automated system for maintaining laundry based on weather conditions with the goal of enhancing efficiency and convenience in daily household activities. The methodology employed for designing this device follows the waterfall method. The testing of this device involves several hardware components, including the ESP-32 microcontroller, the DHT22 sensor for measuring air temperature, the LDR sensor for assessing light intensity in the surroundings, the rain sensor for detecting roof wetness, the MG996R servo motor for roof control, and an Android smartphone serving as the user interface display. The ultimate outcome of this research is a device capable of real-time weather detection by utilizing fuzzy logic to derive conclusions from data collected by three sensors. The weather conclusion generated is then employed as a command for opening or closing the laundry area roof, ensuring protection from rainy weather. Users receive notifications via the Android application for any changes in the roof's condition and can access weather change records.

Uneven Stiffness Coal Seam: A New Structural Factor Prone to Coal Burst Based on Stiffness Theory

The development of stiffness theory is constrained by its contradiction with engineering experience. Several easily overlooked details of stiffness theory were clarified, and a qualitative evaluation formula for the risk of coal burst was provided. Then a novel structure factor called uneven stiffness coal seam structure (USCS), which consists of high stiffness zone (HSZ), low stiffness zone (LSZ), and contiguous roof and floor, was proposed. Many areas prone to coal bursts, such as thinning zones, bifurcating areas, magmatic intrusion areas, and remnant pillar affected areas of coal seam, are the HSZs of USCSs. Comparative analysis of the uneven stiffness coal seam under different roof conditions and examination of the simplified trisection model of the USCS were conducted. Then 6 groups of 14 simplified 2D models using COMSOL5.2 was constructed based on controlled variable method to simulate different responses of the USCS with varying parameters under same working conditions. The results demonstrate the following: (1) coal bursts occur only when both the failure criterion and the stiffness criterion are simultaneously satisfied, the risk of coal burst (rCB) is the product of the risk of failure (rF) and the risk of instability (rI). (2) The pressure concentration function of USCS facilitates stress concentration from LSZ to HSZ, thus raising the rF in HSZ. The stiffness reduction function of USCS reduces the local mine stiffness (LMS) of the HSZ, allowing the system to meet the stiffness criterion even with a hard roof, thereby raising the rI in HSZ and reconciling the contrast between stiffness theory and engineering experience. Failures within HSZ of the USCS enables the roof strata to release bending deformation energy without roof breakage. (3) The normal stress of HSZ is positively correlates with the value of ERHRKHSL/KLSH; The LMS of the HSZ is positively correlated with the value of ERKL/KHHRSLSH. The USCS boasts significant advantages in integrating and harmonizing various existing theories and explaining multiple specific types of coal bursts. By applying relevant USCS findings, new explanations can be provided for engineering phenomena such as the time-delayed coal bursts, the inefficient pressure relief in ultra thick coal seams, and the “microseism deficiency” observed prior to certain coal bursts.

Assessing the Explanatory Power of Dwelling Condition in Automated Valuation Models

This study investigates the role of dwelling-condition attributes in automated valuation models (AVMs) by utilizing detailed dwelling-condition assessment reports in Norway. A hedonic linear regression model, a gradient boosted decision tree, and a support vector machine were trained and evaluated to predict the sale price of dwellings in three urban regions. The study aims to evaluate the explanatory power of condition attributes in AVMs through a comparison of predictive performance with and without these attributes. The results indicate that the inclusion of condition attributes significantly improves the accuracy of all models across all regions. Furthermore, the models show consistent results regarding which condition attributes are important and their relationship to the price. The study finds that the condition of the bathroom has a high impact on the price, while the condition of doors, roof, and exterior extensions has a low impact. The study concludes that dwelling condition holds explanatory power in both linear and nonlinear AVMs, which can benefit researchers, practitioners, and homeowners looking to renovate. The findings highlight the importance of including detailed dwelling-condition attributes in AVMs and provide insights into the valuation of different aspects of a dwelling.

Fracture and control technology of hard and thick rock in mining engineering

The advent of non-pillar mining technology of self-formed roadway based on roof cutting theory (NPMTSFRRCT) has revolutionized the method of tackling the difficulties posed by hard suspended roofs in mining engineering. The design of roof cutting parameters plays a crucial role in determining the roof fracture characteristics. The principles of roof cutting parameter design have been analysed, with a focus on the key and challenging aspect of the collapse of single-layer thick hard rock under the condition of a thin immediate roof. A mechanical model of roof fracture has been established, and the impact of immediate roof thickness, roof cutting height, roof cutting angle, and main roof thickness on roof fracture has been analysed. A numerical model based on the UDEC software has been created, and the roof fracture, stress, and displacement variation characteristics have been studied using the failure criterion of polygonal blocks. The results of the theoretical analysis have been verified, and it was found that the roof fracture in partial roof cutting occurs in the form of hinge bite, while complete roof cutting results in step sinking. Engineering practice has shown that the deformation of the roadway surrounding rock has been effectively controlled.

Microclimatic implications of a large-scale green roof and high-rise redevelopment in New York City

This paper quantifies the impacts of the Jacob K. Javits Convention Center (JJCC) green roof and the nearby redevelopment of Hudson Yards (Midtown West, Manhattan, New York City, NY) on the local microclimate. The analysis was performed using ENVI-met, a grid based, three-dimensional (3D) computational fluid dynamics model commonly used to simulate surface-plant-air interactions in urban settings. Using air temperature, relative humidity, and wind speed and direction measured onsite on July 22, 2014, a total of six simulations were run, comprising three different stages of redevelopment (e.g., in 2014, 2018, and 2021), with and without the JJCC green roof in place. Under the simulated climate conditions, the green roof reduced air temperature over the no-green roof (NoGR) condition, primarily on the north side of the JJCC. However, because of the nearby redevelopment, the cooling benefit provided by the roof decreased slightly over time. For example, at 1:00 p.m. the air temperature dropped from 0.75 K at roof level in 2014, to 0.65 K and 0.64 K in 2018 and 2021, respectively. Similarly, though to a lesser extent, the same trends were evident in the simulations at pedestrian level. The redevelopment of Hudson Yards reduced the sky view factor (SVF) and provided shading during the day, reducing daytime mean radiant temperature (MRT). However, the same buildings raised nighttime MRT. Together, the study provides insights into the growing understanding of how green roofs can impact the microclimate of complex urban environments.

Mechanism of rock burst in deep gob-side entry based on dynamic and static stress: a case study

Deep gob-side entry (DGSE) shows rock burst risk under the condition of kilometer depth and hard roof. Based on the established conditions of the Tengdong coal mine, theoretical analysis, microseismic (MS) monitoring, and numerical modeling were used to study the rock burst mechanism of DGSE. Results show that MS events mainly occurred on the solid side of DGSE and the intense dynamic load was mainly caused by the breaking of low hard roof strata, which can release 2.64 × 105 J elastic energy per meter. The surrounding stress of DGSE was asymmetrical due to the coal pillar yielding and hanging roof’s weight, and the load of coal pillar is negatively correlated with that of solid. Simulation shows the vertical stress evolution of coal pillar and solid shows significant diversity. Coal pillar’s vertical stress first drops sharply, and then increases gradually, finally stable at 10.6 MPa with the DGSE’s excavation. Contrarily, solid’s vertical stress gradually rises and was finally stable at 40.9 MPa. Under roof dynamic loading, the vibration velocity of the entry’s top was higher than that of the floor which was caused by the increase of the propagation distance and the reflection and diffraction effect of waves. The vibration velocity of the coal pillar was significantly higher than that of the solid which is because higher stress can lead to faster attenuation of vibration velocity. After dynamic loading, the coal pillar’s principal stress and principal stress difference decreased while that of the solid can be divided into two drop areas and one rising area. Periodic pressure relief that was carried out in the rising area can reduce the rock burst risk on the solid side of DGSE.