Prediction model of fracture depth and water inrush risk zoning in deep mining coal seam floor

Li, Ang; Ding, Xuesong; Yu, Zhenzi; Wang, Man; Mu, Qian; Dai, Zhixu; Li, Hongyue; Zhang, Bo; Han, Tairan

doi:10.1007/s12665-022-10431-8

Cited by 10 publications

(5 citation statements)

References 24 publications

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“…"Disease narrative" can be carried out in a variety of ways through various intervention measures. [24] Overseas, patient narratives have been implemented as a form of care in terminally ill, geriatric and cancer patients with good outcomes, and narrative care interventions have been carried out in adult cancer patients. Patients receiving narrative nursing interventions had a higher well-being index than those receiving control interventions.…”

Section: Discussionmentioning

confidence: 99%

Effect of individualized narrative nursing mode on recovery of elderly patients with fracture complicated with cerebrovascular accident

Wang,

Zhang,

2024

Medicine

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Fractures often occur in elderly patients. Osteoporosis caused by massive loss of calcium ions in the bones of elderly patients can easily lead to femoral fractures after suffering a low- and medium-energy injury. With the gradual entry of the aging society in China, the incidence of senile fracture is also gradually increasing. However, there is no report on the application of personalized narrative nursing to the mental health, cognitive function, and limb function recovery of elderly patients with fracture complicated with cerebrovascular accident, in order to enhance the cognitive level of elderly patients with fracture complicated with cerebrovascular accident. This study was specially conducted with a positive attitude toward the disease and improving the life quality. During July 2018 to July 2021, 80 elderly patients with fracture complicated with cerebrovascular accident cured were selected in our hospital. The patients were arbitrarily classified into an assigned control group (n = 40) and a study group (n = 40). The former received routine nursing, and the latter received personalized narrative nursing mode. The nursing satisfaction, functional independence scale (FIM), self-rating anxiety scale (SAS), self-rating depression scale (SDS), cognitive function, fracture healing time, length of hospital stays, and hospitalization expenses were compared. The study group had a satisfaction rate of 100.00%, while the control group had 87.50%. The nursing satisfaction of the study group was higher (P < .05). After 3 months of nursing, the FIM scores augmented. The FIM scores of upper and lower limbs in the study group were remarkably higher (P < .05). A decrease in SAS and SDS scores was observed. The SAS and SDS scores of the study group were lower (P < .05). Three months after discharge, the cognitive function score augmented. At 3 months after discharge, the study group had a higher cognitive function score (P < .05). The fracture healing time, length of stay, and cost of hospitalization in the study group were lower (P < .05). Personalized narrative nursing model can successfully enhance the mental health and cognitive function of elderly patients with fracture complicated with cerebrovascular accident, enhance the recovery of limb function, promote patients’ nursing satisfaction, and alleviate the economic burden.

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Section: Discussionmentioning

confidence: 99%

Effect of individualized narrative nursing mode on recovery of elderly patients with fracture complicated with cerebrovascular accident

Wang,

Zhang,

2024

Medicine

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“…(2) L−F model (5) (3) BET multimolecular layer model (6) (4) D−R model (7) (5) D−A model (8) where n ab is the excess adsorption capacity, cm 3 /g; n 0 is the limit adsorption capacity, cm 3 /g; b is a constant related to the adsorbent, adsorbate properties, and temperature, MPa 10 shows the methane adsorption corresponding to different burial depths in the Xingwu Coal Mine and Pingdingshan Coal Mine.…”

Section: Isothermal Adsorption Model Of Coking Coal Under High-temper...mentioning

confidence: 99%

“…Many scholars have performed much research on the methane adsorption characteristics of coal through laboratory tests, theoretical analyses, and numerical simulations. In these experimental tests, the main focus has been on the effect of constant temperature and constant pressure, especially single-factor temperature and pressure, on the gas adsorption characteristics. , Levy, Bustin, Sakurovs et al − found that the adsorption amount of gas on the coal surface increased with increasing pressure and decreased with increasing temperature. Zhaofeng et al studied the adsorption/desorption characteristics of anthracite from 244.15 to 304.15 K and found that the lower the temperature, the greater the gas adsorption capacity of coal.…”

Section: Introductionmentioning

confidence: 99%

Study on Adsorption Characteristics of Deep Coking Coal Based on Molecular Simulation and Experiments

et al. 2023

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To study the effect of high temperature and high pressure on the adsorption characteristics of coking coal, Liulin coking coal and Pingdingshan coking coal were selected as the research objects, and isotherm adsorption curves at different temperatures and pressures were obtained by combining isotherm adsorption experiments and molecular dynamics methods. The effect of high temperature and high pressure on the adsorption characteristics of coking coal was analyzed, and an isothermal adsorption model suitable for hightemperature and high-pressure conditions was studied. The results show that the adsorption characteristics of deep coking coal can be well characterized by the molecular dynamics method. Under a supercritical condition, the excess adsorption capacity of methane decreases with the increase of temperature. With the increase of pressure, the excess adsorption capacity rapidly increases in the early stage, temporarily stabilizes in the middle stage, and decreases in the later stage. Based on the classical adsorption model, the adsorption capacity of coking coal under high-temperature and high-pressure environments is fitted. The fitting degree ranges from good to poor. The order is D−R > D−A > L−F >BET > Langmuir, and combined with temperature gradient, pressure gradient, and the D−R adsorption model, it can be seen that after 800 m deep in Liulin Mine and 400 m deep in Pingdingshan Mine, the adsorption capacity of coking coal to methane decreases with the increase of depth.

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“…Zhang Libo [13] studied the spatial distribution characteristics and corresponding support design of the development and evolution of mining support pressure in the 8.2 m superhigh fully mechanized mining face with the 108 working face of the 12 −2 of Jinjitan Mine as the background, revealing the distribution characteristics of the dynamic stress field and internal and external stress fields. Li Ang [14] explored the safety and feasibility of deep coal seam floor mining in the North China Coalfield. Taking the coal seam mining in the Pingdingshan Coal Mine as the engineering background, FLAC 3D was used to simulate and analyse the influence of mining length, mining depth, and mining height on the depth of floor fractures.…”

Section: Introductionmentioning

confidence: 99%

Research on the Movement of Overlying Strata in Shallow Coal Seams with High Mining Heights and Ultralong Working Faces

Fu,

Li,

2024

Applied Sciences

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To study the roof movement and ground pressure evolution characteristics of an ultralong working face in a shallow coal seam with a high mining height, the Shangwan Coal Mine in the Shendong mining area was used as the research background, and the physical and mechanical parameters of the surrounding rock were determined through rock mechanics experiments. A physical simulation model was built considering the 7 m mining height of the 12301 fully mechanized working face of the Shangwan Coal Mine to simulate and study the evolutions of the movement, fracture and collapse of the coal seam, direct roof, and basic roof and overlying strata during the mining process. The mechanical characteristics of the support, mechanism of roof collapse, and changes in the working resistance of the support were analysed and simulated. The research results indicate that when mining at a height of 7 m, the direct roof and basic roof strata collapse in layers; the basic roof strata collapse backwards, the rock block arrangement is more irregular, and the range of the basic roof that can form structural rock layers extends higher. After the basic roof rock fractures, it cannot form a masonry beam structure and can only form a cantilever beam structure. The periodic fracture of the cantilever beam causes periodic pressure on the working face. These research results are of great significance for planning the further mining of shallow coal seams with high mining heights and ultralong working faces in the Shendong mining area, as well as for improving the control of overlying strata.

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Prediction model of fracture depth and water inrush risk zoning in deep mining coal seam floor

Cited by 10 publications

References 24 publications

Effect of individualized narrative nursing mode on recovery of elderly patients with fracture complicated with cerebrovascular accident

Effect of individualized narrative nursing mode on recovery of elderly patients with fracture complicated with cerebrovascular accident

Study on Adsorption Characteristics of Deep Coking Coal Based on Molecular Simulation and Experiments

Research on the Movement of Overlying Strata in Shallow Coal Seams with High Mining Heights and Ultralong Working Faces

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