Hazard prediction of coal and gas outburst based on the Hamming distance artificial intelligence algorithm (HDAIA)

Peng, Ji; Shi, Shiliang

doi:10.1016/j.jnlssr.2022.12.001

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…Notable examples include the turbulence experienced by an aircraft, the fluid boundary alterations by a butterfly valve, and the sound propagation effects caused by a speaker cone. The ramifications of FSIs are far reaching, with manifestations in diverse fields such as engine combustion chambers [1,2], natural gas transmission [3][4][5][6][7], robotics, particularly surgical robotics [8][9][10][11], civil engineering [12][13][14][15][16], aerospace engineering [17][18][19][20], hydraulics [21], topology [22], ocean engineering [23,24], biomechanics [25][26][27], nuclear engineering [28], and even food processing [29].…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of Fluid-Structure Interaction in Undulated Cavity

Tarek,

Elhadj,

Mohammed

et al. 2023

IJHT

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This study presents a numerical exploration into the phenomenon of natural convection within a cavity, characterized by a straight (cold) right wall and a wavy (hot) left wall. The focus lies in the dynamic interaction between the working fluid (air) and a sinusoidally moving solid structure (the fin). The Arbitrary Lagrangian-Eulerian (ALE) methodology is employed to handle the moving mesh, and the Galerkin weighted residual finite element method is utilized to solve the nonlinear equations and boundary conditions. A mesh validation test is undertaken, and a comparative analysis against numerical reference is included. In a novel approach, a mathematical formulation incorporating the geometric aspect ratio Ar (defined as the fundamental wavelength relative to its wavy width) is introduced into the fundamental equations. Numerical results, including isotherms, streamlines, temperature profiles, horizontal velocity, and local heat flux coefficient, are presented under specific conditions: a geometry ratio Ar=0.3, a Rayleigh number spanning from 10 3 to 10 7 , and a dimensionless time t ranging from 10 -5 to 3. These results are based on three distinct positions of the oscillating elastic. The findings elucidate the combined effect of convection and the vibration of the flexible oscillating fin, particularly at high Rayleigh numbers. This study contributes novel insights into the complex interplay between fluid dynamics and vibrating structures in the context of natural convection.

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Section: Introductionmentioning

confidence: 99%

Numerical Simulation of Fluid-Structure Interaction in Undulated Cavity

Tarek,

Elhadj,

Mohammed

et al. 2023

IJHT

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“…In their search, they proposed a modified method to improve the accuracy of dynamic system parameters and proved that this method has global convergence of both state error and parameter estimation error [3] . Machine learning, as a branch of artificial intelligence, is proved to have the ability to make accurate predictions in coal and gas outbursts [4] . Thus, it can be seen that artificial intelligence does play a significant role in solving problems in various fields.Additionally, this issue offers an exploration of ordinary differential equations.…”

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confidence: 99%

Launch of a new journal on applied mathematics: Editorial review on Vol. 1 No. 1

Zeeshan

2023

J. Appl. Math.

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Application of Artificial Intelligence to the Alert of Explosions in Colombian Underground Mines

Vallejo-Molina,

Blandon-Montes,

Lopez

et al. 2024

Mining, Metallurgy & Exploration

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The use of Artificial Intelligence (AI), particularly of Artificial Neural Networks (ANN), in alerting possible scenarios of methane explosions in Colombian underground mines is illustrated by the analysis of an explosion that killed twelve miners. A combination of geological analysis, a detailed characterization of samples of coal dust and scene evidence, and an analysis with physical modeling tools supported the hypothesis of the existence of an initial methane explosion ignited by an unprotected tool that was followed by a coal dust explosion. The fact that one victim had a portable methane detector at the moment of the methane explosion suggested that the ubiquitous use of these systems in Colombian mines could be used to alert regulatory agencies of a possible methane explosion. This fact was illustrated with the generation of a database of possible readouts of methane concentration based on the recreation of the mine atmosphere before the explosion with Computational Fluid Dynamics (CFD). This database was used to train and test an ANN that included an input layer with two nodes, two hidden layers, each with eight nodes, and an output layer with one node. The inner layers applied a rectified linear unit activation function and the output layer a Sigmoid function. The performance of the ANN algorithm was considered acceptable as it correctly predicted the need for an explosion alert in 971.9 per thousand cases and illustrated how AI can process data that is currently discarded but that can be of importance to alert about methane explosions.

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Hazard prediction of coal and gas outburst based on the Hamming distance artificial intelligence algorithm (HDAIA)

Cited by 4 publications

References 11 publications

Numerical Simulation of Fluid-Structure Interaction in Undulated Cavity

Numerical Simulation of Fluid-Structure Interaction in Undulated Cavity

Launch of a new journal on applied mathematics: Editorial review on Vol. 1 No. 1

Application of Artificial Intelligence to the Alert of Explosions in Colombian Underground Mines

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