Determination and Fire Analysis of Gob Characteristics Using CFD

Fernández-Alaiz, Florencio; Castañón, Ana María; Gómez-Fernández, Fernando; Sánchez, Antonio Bernardo; Bascompta, Marc

doi:10.3390/en13205274

Cited by 10 publications

(6 citation statements)

References 25 publications

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“…Recently, there has been a rising interest in providing fire systems that can provide reliable early detection of fires [1]. However, most conventional studies of fire science are based on numerical experiments such as CFD simulations [2][3][4] and not on actual experimentation.…”

Section: Introductionmentioning

confidence: 99%

Early Fire Detection: A New Indoor Laboratory Dataset and Data Distribution Analysis

Nazir

Mosleh

Takruri

et al. 2022

Fire

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Fire alarm systems are typically equipped with various sensors such as heat, smoke, and gas detectors. These provide fire alerts and notifications of emergency exits when a fire has been detected. However, such systems do not give early warning in order to allow appropriate action to be taken when an alarm is first triggered, as the fire may have already caused severe damage. This paper analyzes a new dataset gathered from controlled realistic fire experiments conducted in an indoor laboratory environment. The experiments were conducted in a controlled manner by triggering the source of fire using electrical devices and charcoal on paperboard, cardboard or clothing. Important data such as humidity, temperature, MQ139, Total Volatile Organic Compounds (TVOC) and eCO2 were collected using sensor devices. These datasets will be extremely valuable to researchers in the machine learning and data science communities interested in pursuing novel advanced statistical and machine learning techniques and methods for developing early fire detection systems. The analysis of the collected data demonstrates the possibility of using eCO2 and TVOC reading levels for early detection of smoldering fires. The experimental setup was based on Low-Power Wireless Area Networks (LPWAN), which can be used to reliably deliver fire-related data over long ranges without depending on the status of a cellular or WiFi Network.

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Section: Introductionmentioning

confidence: 99%

Early Fire Detection: A New Indoor Laboratory Dataset and Data Distribution Analysis

Nazir

Mosleh

Takruri

et al. 2022

Fire

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“…• A section of the tailgate with an assumed length of 30 m and a 20 m liquidated section with the characteristics of the goaf area with a cross-section of 15.2 m 2 ; • Longwall excavation 25 m long, 3 m high, 8 m wide and with an inclination of 0 o , the floor of the longwall was 1 m below the floor of the tailgate. This was due to the uplift of the tailgate floor as a result of a high-stress concentration; • A section of goafs with an assumed length of 20 m, a height equal to the height of the longwall and a width of 25 m, modeled as a porous medium [33][34][35] (based on tests, it was shown that it is reasonable to assume the height of the goafs to be equal to the height of the longwall); • A 10 m long brattice, located 4 m from the cave line in the tailgate; • An auxiliary air-duct, 21 m long and diameter of 1 m, located 0.9 m from the excavation floor, with an outlet located 0.5 m from the longwall; • A zone filled with sealing foam material from the side of goafs in the liquidated part of the tailgate.…”

Section: Methodsmentioning

confidence: 99%

Influence of the Auxiliary Air-Duct Outlet and the Brattice Location on the Methane Hazard—Numerical Simulations

et al. 2022

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The article presents the results of research into the influence of the location of auxiliary ventilation devices on the distribution of methane concentrations at the outlet of the longwall in an underground mine. Since this area is crucial from the point of view of explosion risk, the existence of an optimal arrangement of these devices could lead to improved safety of the crew working in the area. The aim of conducted study was to examine if the impact of this devices placement is significant. The research was carried out with the use of computational fluid dynamics (CFD) modeling—Ansys Fluent. The analyses took into account the location of the two most commonly used devices: a brattice and an auxiliary air-duct. The numerical model has been prepared and validated based on in situ measurements. Thirty-two cases of device configurations were analysed. The length and position of the brattice, as well as the height and position air-duct outlet along tailgate, were modified. It has been shown that although the presented solutions are an effective risk mitigation method, contrary to the common opinion of many practitioners, the impact of their exact placement, provided it is compliant with the regulations, is not significant for the registered methane concentration distribution at a longwall outlet.

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“…9., 13., presents air velocity distribution along excavation length, Figures 6.,10., and 14. velocity distribution in the cross-sections of the excavation every two meters of its length, while Figures 12., 8., and 16. presents the normal distribution of air velocity considering the turbulence models applied. This section has been supported additionally with the graphs representing average air velocity values in given crosssections obtained for the chosen turbulence models presented inFigures 7.,11.,and 15. …”

mentioning

confidence: 88%

“…Numerical modeling is also used to eliminate and prevent fires in underground workings by planning the removal of gases resulting from combustion. Proper planning of the method and strength of ventilation can quickly remove harmful gases from the fire site without spreading them to adjacent tunnels [8,9,10,11].…”

Section: State Of the Artmentioning

confidence: 99%

Possibilities of 3D laser scanning data utilization for numerical analysis of airflow in mining excavations

Wróblewski,

Trybała,

Banasiewicz

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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Underground mining of deposits is strongly dependent on several key processes enabling its safe operation. One of these processes is mine ventilation aimed at supplying an appropriate amount of air with a specific chemical composition, diluting harmful gases generated in technological processes and emitted from the rock mass, and ensuring appropriate climatic conditions at workplaces. For all that mine ventilation has strategic importance and is responsible for 30-40 % of overall mine operation costs. A very important task is to conduct calculations and simulations to determine the airflow in ventilation networks, both existing and planned in the future, along with the progress of the mine operation. In the era of the development of modern technologies, new perspectives for changing the current approach to the design and optimization of ventilation networks are available. Their utilization may contribute to accuracy improvement, which can drive safety increases and process optimization. In this article, the authors evaluate the possibilities of using laser scanning data, collected with LiDAR / Terrestrial Laser Scanner, to generate 3D models of underground structures geometry, and its further utilization to conduct numerical simulations of airflow in mining excavations with Computational Fluid Dynamics. The performed analysis shows that the proposed approach may be a useful instrument for analyzing local airflow phenomena, particularly in complex ventilation networks, where disturbances in air velocity vectors are caused by sudden changes in geometry.

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Determination and Fire Analysis of Gob Characteristics Using CFD

Cited by 10 publications

References 25 publications

Early Fire Detection: A New Indoor Laboratory Dataset and Data Distribution Analysis

Early Fire Detection: A New Indoor Laboratory Dataset and Data Distribution Analysis

Influence of the Auxiliary Air-Duct Outlet and the Brattice Location on the Methane Hazard—Numerical Simulations

Possibilities of 3D laser scanning data utilization for numerical analysis of airflow in mining excavations

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