Vented gas explosion overpressure calculation based on a multi-layered neural network

2022 ◽  
Vol 74 ◽  
pp. 104641
Author(s):  
Yann Grégoire ◽  
Jérôme Daubech ◽  
Christophe Proust ◽  
Emmanuel Leprette
Keyword(s):  
Neural Network ◽  
Gas Explosion ◽  
Explosion Overpressure

Numerical study of external explosion characteristics induced by indoor natural gas vented explosion

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lei Pang ◽  
Qianran Hu ◽  
Kai Yang
Keyword(s):  
Natural Gas ◽  
Design Methodology ◽  
Large Scale ◽  
Numerical Study ◽  
Outdoor Environment ◽  
Gas Explosion ◽  
Content Type ◽  
Gas Explosions ◽  
Explosion Overpressure ◽  
Vented Explosion

Purpose The purpose of this paper is to ascertain the harm to personnel and equipment caused by an external explosion during natural gas explosion venting. The external explosion characteristics induced by the indoor natural gas explosion are the focal points of the investigation. Design/methodology/approach Computational fluid dynamics technology was used to investigate the large-scale explosion venting process of natural gas in a 6 × 3 × 2.5 m room, and the characteristics of external explosion under different scaled vent size (Kv = Av/V2/3, 0.05, 0.08, 0.13, 0.18) were numerically analyzed. Findings When Kv = 0.08, the length and duration of the explosion fireball are 13.39 and 450 ms, respectively, which significantly expands the degree and range of high-temperature hazards. The suitable flow-field structure causes the external explosion overpressure to be more than twice that indoors, i.e. the natural gas explosion venting overpressure may be considerably more hazardous in an outdoor environment than inside a room. A specific range for the Kv can promote the superposition of outdoor rupture waves and explosion shock waves, thereby creating a new overpressure hazard. Originality/value Little attention has been devoted to investigating systematically the external explosion hazards. Based on the numerical simulation and the analysis, the external explosion characteristics induced by the indoor large-scale gas explosion were obtained. The research results are theoretically significant for mitigating the effects of external gas explosions on personnel and equipment.

Explosion Relief Panels and Their Effect on Gas Explosion Overpressure

2004 ◽  
Author(s):  
Jan Roar Bakke ◽  
Per Erik Skogrand
Keyword(s):  
Working Environment ◽  
Gas Explosion ◽  
Improve Working ◽  
Medium Scale ◽  
Arctic Regions ◽  
Offshore Installations ◽  
Gas Explosions ◽  
Explosion Overpressure ◽  
Solid Walls ◽  
Explosion Risk

Explosion relief panels are commonly used on offshore installations to improve working environment and at the same time allow venting of gas explosions to control explosion risk. This is very important particularly in arctic regions where requirements for acceptable working environment may easily conflict with requirements for low explosion risk. Explosion relief panels have been tested in low congestion, medium scale explosion tests, and based on such tests it has been concluded that replacing solid walls with relief panels reduces explosion loads significantly. It is not clear whether this conclusion can be extended to real offshore modules, which are significantly larger and more congested. In the present paper the gas explosion simulator FLACS is therefore used to investigate the effect of different wall configurations (e.g. open, solid or relief panels) on explosion overpressure in a large, highly congested offshore module. The objective is to assess whether in reality similar benefits from using relief panels as seen in the experiments can be expected.

The roles of foam ceramics in suppression of gas explosion overpressure and quenching of flame propagation

2011 ◽  
Vol 192 (2) ◽  
pp. 741-747 ◽  
Author(s):  
Baisheng Nie ◽  
Xueqiu He ◽  
Ruming Zhang ◽  
Wenxue Chen ◽  
Jinfeng Zhang
Keyword(s):  
Flame Propagation ◽  
Gas Explosion ◽  
Explosion Overpressure

scholarly journals Constructing a Gas Explosion Inversion Model in a Straight Roadway Using the GA–BP Neural Network

ACS Omega ◽  
2021 ◽  
Author(s):  
Bo Tan ◽  
Heyu Zhang ◽  
Gang Cheng ◽  
Yanling Liu ◽  
Xuedong Zhang
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Gas Explosion ◽  
Inversion Model

Analysis of the RC Slab under Gas Explosion Load

2010 ◽  
Vol 163-167 ◽  
pp. 1080-1084
Author(s):  
Yong Li Han ◽  
Long Zhu Chen
Keyword(s):  
Boundary Condition ◽  
Influence Factor ◽  
Reinforcement Ratio ◽  
Gas Explosion ◽  
Protective Measures ◽  
Analysis Methods ◽  
Explosion Overpressure ◽  
Calculation Results ◽  
Rc Slab ◽  
Explosion Load

In order to put forward protective measures and reduce the hazards caused by gas explosion events, it is significantly important to analyze the antiblast properties of the slab. According to the precast slab and poured slab that badly damaged in this two accidents, the antiblast ability of the slabs and explosion overpressure were analyzed. The overpressure differs little but the destruction differs much of the two accidents, so effects of some parameters on the the antiblast ability of the slab were calculated based on multigroup models. The results show that, boundary condition is the primary influence factor, the next is thickness, while the influence of reinforcement ratio is comparatively lower. Based on the calculation results, some protective measures were put forward. The analysis methods and conclusions can offer certain reference to the housing protection design and study.

scholarly journals Constructing a Gas Explosion Inversion Model in a Straight Roadway Using GA-BP Neural Network

2021 ◽  
Author(s):  
Bo Tan ◽  
Heyu Zhang ◽  
Gang Cheng ◽  
Yanling Liu ◽  
Xuedong Zhang
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Back Propagation ◽  
Source Location ◽  
Gas Explosion ◽  
Accident Investigation ◽  
Rescue Work ◽  
Inversion Model ◽  
Emergency Rescue ◽  
Data Inversion

Abstract When the location and intensity of the source of the explosion is determined, the severity and impact of the explosion can be analyzed and predicted, such as the overpressure, temperature, and toxic gas propagation. In order to provide the theory of emergency rescue work, improve rescue efficiency, to protect the safety of rescue personnel. In addition, to determine the gas explosion source location and intensity of the accident investigation also has an important role, on the one hand,it helps to determine the accident-related responsible person, on the other hand,it also can more accurately judge the nature of the accident and the cause of the explosion, summarize the accident experience, for the future prevention of such accidents provide guidance experience. Therefore, the location and intensity of the source of the explosion through the field data inversion is of great significance. Based on Genetic Algorithm (GA, and similarly hereinafter) to improve the back propagation(BP) neural network theory, the use of the method through the gas explosion experiments and simulation of overpressure data inversion of roadway gas explosion source location and intensity, the establishment of roadway gas explosion disaster inversion model for emergency rescue and accident investigation to provide data support.

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