CFD Simulations to Study Parameters Affecting Gas Explosion Venting in Compressor Compartments

Cen, Kang; Song, Bin; Huang, Yan; Wang, Qingsheng

doi:10.1155/2017/1090561

Cited by 15 publications

(2 citation statements)

References 20 publications

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“…Eulerian boundary condition is used for these three CFD simulations as in the authors' previous study (Li et al, 2017) that focused on the internal pressure simulation, and since the reflection effect of pressure wave to internal pressure is minimum as the z-direction domain is sufficiently large. Whereas the PLANE_WAVE boundary conditions are generally used in the following large-scale simulations to eliminate pressure wave reflection effect (Hansen et al, 2010;Hansen and Johnson, 2015;Cen et al, 2017). Monitor points are located close to tank's vent panel and on tank's wall at different heights, as seen in Fig.…”

Section: Different Vent Opening Designs Of 65 Vol % Gas Concentration Casementioning

confidence: 99%

Numerical and analytical prediction of pressure and impulse from vented gas explosion in large cylindrical tanks

Hao

2019

Process Safety and Environmental Protection

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This paper presents an extension of previous study on estimating the internal and external pressure and impulse from vented gas explosion in large cylindrical tanks. Unlike the smallmedium scale explosion from cylindrical tanks in previous work, explosion pressure and impulse from large-scale explosions are numerically and analytical investigated in this study.CFD simulations are conducted and validated by using experimental data. Sensitivity study on grid selection for large-scale explosion simulations is performed. By adopting two scale-up factors for the analytical correlations, the internal pressure and external pressure on adjacent tanks from vented gas explosion in a tank are accurately predicted. Parametric study of the effectiveness of separation gap between adjacent tanks on pressure and impulse mitigation is also carried out. Influences of the venting size, tank diameter and tank height on the effectiveness of separation distance for pressure and impulse mitigation from large-scale vented gas explosion in an adjacent tank are studied.

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Section: Different Vent Opening Designs Of 65 Vol % Gas Concentration Casementioning

confidence: 99%

Numerical and analytical prediction of pressure and impulse from vented gas explosion in large cylindrical tanks

Hao

2019

Process Safety and Environmental Protection

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“…Ferrara et al [9] developed a two-dimensional axisymmetric CFD model to analyze the effects of ignition position, duct diameter, and length. Cen et al [10] performed CFD simulations to investigate the effects of ignition location, vent area ratio, vent activation pressure, the mass per unit area of panels, and volume blockage ratio on the peak pressures in compressor compartments. Karnesky et al [11] studied the effects of vent area and obstacles on explosion overpressure in vented enclosures based on a three-dimensional gas dynamic model with constant burning velocity.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Characteristics of Gas Explosion and Its Mitigation Measures inside Residential Buildings

Cen

Song

Shen

et al. 2019

Mathematical Problems in Engineering

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Currently, there is very limited understanding of a gas explosion process inside residential buildings. In this study, a numerical model of gas explosion in a residential building was developed using Computational Fluid Dynamics (CFD). The numerical simulations were performed for different gas cloud filling regions and equivalence ratios to identify the initial scenario, and the simulation results were compared with the real consequences of gas explosion. Additionally, the temporal and spatial evolvement characteristics of explosion overpressure and indoor temperature were analyzed. Furthermore, the effects of vent area ratio and the activation pressure of vent panels in the kitchen were investigated to propose effective mitigation measures for the gas explosions inside residential buildings. The results show that the simulation results reproduced by the CFD model are in good agreement with the real accident consequences. During the explosion process, the overpressure distribution in a room is almost uniform at the same moment and there exists little spatial difference. The maximum temperature can reach up to 1953°C, which can cause secondary fire accidents easily. The maximum flame speed is in the range of 34.3 m/s and 230.9 m/s. It indicates that gas explosion inside residential buildings is a typical deflagration process. When the vent area ratio is less than 0.3, the overpressure peaks decrease rapidly with the increase of the vent area ratio. However, when the vent area ratio is larger than 0.3, the overpressure peaks are almost independent on the vent area ratio. There is a proportional relationship between the overpressure peaks and the activation pressure of vent panels. These achievements provide reliable reference data for the accident investigation of gas explosion and subsequent treatment.

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Explosion pressure and duration prediction using machine learning: A comparative study using classical models with Adam‐optimized neural network

Idris,

Rusli,

Mohamed

et al. 2024

Can J Chem Eng

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The application of machine learning (ML) for the prediction of gas explosion pressure remains limited, and the prediction of the explosion duration is nearly non‐existent. A series of dispersion and subsequent explosion computational fluid dynamics (CFD) simulations were conducted to determine explosion pressure and duration values. These results were used to train classical ML models, that is, support vector regression (SVR), random forest (RF), and decision tree (DT) models. Additionally, a multi‐output Adam‐optimized artificial neural network (ANN) model was employed for performance comparison. All the models demonstrated respectable predictions for both parameters, while the RF model demonstrated the highest performance based on the metrics analyzed, followed by the DT model. The proposed gas volume and gas volume blockage ratio (gas‐VBR) emerged as the most crucial feature for predicting explosion pressure, while the monitoring point and gas‐VBR was the most important feature for explosion duration. It is recommended to consider the gas‐VBR feature in future studies rather than solely focusing on blockage ratio or obstacle location. The model proposed was compared with models from previous studies for predicting explosion pressure. The findings conclusively demonstrate that the multi‐output model outperforms the compared models, offering a notable advantage in its ability to predict both gas explosion pressure and duration.

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CFD Simulations to Study Parameters Affecting Gas Explosion Venting in Compressor Compartments

Cited by 15 publications

References 20 publications

Numerical and analytical prediction of pressure and impulse from vented gas explosion in large cylindrical tanks

Numerical and analytical prediction of pressure and impulse from vented gas explosion in large cylindrical tanks

Dynamic Characteristics of Gas Explosion and Its Mitigation Measures inside Residential Buildings

Explosion pressure and duration prediction using machine learning: A comparative study using classical models with Adam‐optimized neural network

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