Evidence map›Paper›PMID 40191333›Full record

ArticleACS omega2025

Study on a Coupling Model of Fracture Stress-Microseismic-Temperature of Composite Coal and Rock Deformation.

Zhen Yang, Liwen Ji, Xin Li, Hao Li, Zhiyong Liu, Junbo Zhang, Haoyuan Liu

Abstract read
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Zhen YangFaculty of Electrical and Control Engineering, Liaoning Technical University, Huludao 125105, China.
Liwen JiFaculty of Electrical and Control Engineering, Liaoning Technical University, Huludao 125105, China.ORCID https://orcid.org/0009-0004-1510-6155
Xin LiFaculty of Electrical and Control Engineering, Liaoning Technical University, Huludao 125105, China.
Hao LiFaculty of Electrical and Control Engineering, Liaoning Technical University, Huludao 125105, China.ORCID https://orcid.org/0000-0002-8020-9220
Zhiyong LiuFaculty of Electrical and Control Engineering, Liaoning Technical University, Huludao 125105, China.
Junbo ZhangFaculty of Electrical and Control Engineering, Liaoning Technical University, Huludao 125105, China.
Haoyuan LiuFaculty of Electrical and Control Engineering, Liaoning Technical University, Huludao 125105, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To reveal the coupling relationship between stress, microseismic, and temperature during the deformation and fracture of composite coal and to further study the generation mechanism of deformation and fracture microseismic of composite coal-rock, the SMT (stress-microseismic-thermal) coupled model was derived based on the previously established SCT (stress-charge-thermal) coupled model. The top rock, coal, and bottom rock were extracted to prepare composite coal-rock specimens in the ratios of 1:1:1, 1:2:1, and 1:4:1 and pure coal. The uniaxial loading fracture experiments were carried out on the coal-rock specimens at four different loading rates of 0.1, 0.3, 0.4, and 0.5 mm/min. The variation laws of electromagnetic radiation, microseismic voltage, and temperature signals during the uniaxial loading deformation and fracture process of the composite coal-rock specimens were investigated. The experimental results show that the microseismic voltage and electromagnetic radiation signals are weak at the initial loading stage. The maximum values of the two signals appear when the stress achieves the peak point and the temperature drops on a slight slope. With the increase in the loading rate, the maximum peaks of the two signals decrease, where the change in microseismic voltage is more prominent. In the experiment of different coal-to-rock ratios at 0.5 mm/min, the electromagnetic radiation does not change much, and the peak value of the microseismic voltage signal is the largest in the sample with the coal-to-rock ratio of 1:2:1, followed by that of the pure coal sample. With the thickening of the coal seam, the top rock temperature drops more, indicating that the three signals have a strong consistency and precursor warning function. According to the experimental data, the relationship between the microseismic voltage energy and stress is fitted, and the results show that the two signals are in an excellent exponential relationship and that the fitting coefficient is above 0.9. Combined with the SCT coupling model, the relationship between electromagnetic radiation stress and microseismic voltage energy stress is substituted into the SCT model; then, the induced charge variable is eliminated. The stress-microseismic-temperature (SMT) coupling model is derived. The SMT model is used to fit samples f

Identifiers

PMID40191333
PMCPMC11966303

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.