The Gilbert Johnson Keerthi distance algorithm coupled with computational fluid dynamics applied to gas explosion simulation

Ferreira, Tatiele Dalfior; Vianna, Sávio S.V.

doi:10.1016/j.psep.2019.08.010

Cited by 12 publications

(4 citation statements)

References 17 publications

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“…However, the findings of the current paper are not possible to extract from those studies. The model limitations identified in this paper contributed to the disagreements between the previous RANS results [ [55][56][57][58][59][60][61][62][63] and experimental data. The present work is limited to a-priori analysis and consequently does not…”

Section: It Can Further Be Seen Frommentioning

confidence: 87%

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Flame Surface Density based mean reaction rate closure for Reynolds averaged Navier Stokes methodology in turbulent premixed Bunsen flames with non-unity Lewis number

Rasool

Klein²,

Chakraborty³

2022

Combustion and Flame

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Section: It Can Further Be Seen Frommentioning

confidence: 87%

“…The BML modelling methodologies discussed in this paper are still frequently used in the context of explosions or internal combustion engines [55][56][57][58][59][60][61][62][63]. However, the findings of the current paper are not possible to extract from those studies.…”

Section: It Can Further Be Seen Frommentioning

confidence: 96%

Flame Surface Density based mean reaction rate closure for Reynolds averaged Navier Stokes methodology in turbulent premixed Bunsen flames with non-unity Lewis number

Rasool

Klein²,

Chakraborty³

2022

Combustion and Flame

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“…[17] Further details of the code can be found elsewhere. [18,19] We now turn our attention to combustion modelling. The combustion source term is modelled in accordance with the following expression:…”

Section: Shock Towards Kinetic Explosion Simulation (Stokes)mentioning

confidence: 99%

Computational modelling of explosions caused by failed Li‐ion batteries

2023

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The implementation rate of renewable energy sources such as lithium‐ion batteries has grown over the last decade. Consequently, the number of explosion occurrences associated with these batteries has also increased. Such events are due to a process called thermal runaway (TR). The flamelet combustion approach has been widely used to model premixed combustion. However, its applicability for modelling accidental explosions from lithium‐ion batteries remains limited. Moreover, the effects and contributions from stress, strain, and wrinkling on the flame front in gas mixtures from Li‐ion batteries are not fully understood. As far as computational modelling is concerned, the same effects require further investigation. The current research investigates the performance of the flamelet approach for modelling premixed combustion scenarios caused by the gases ejected by a fully charged lithium‐ion‐phosphate (LFP) battery. A new laminar burning velocity correlation is proposed based on experimental data to calculate overpressure, flame position, and flame velocity in a semi‐confined geometry. Promising results are presented resorted by good agreement with experimental data.

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“…The safety distance from a vapor cloud rapid deflagration was investigated by Li and Hao [7] using a numerical tool. In the context of a gas cloud, numerical simulations in environments with complex geometry were performed by Vianna and Cant [8], Ferreira and Vianna [9], [10], and Quaresma et al [11]. These researchers used a computational tool with meshes based on Porosity Distributed Resistance (PDR).…”

Section: Introductionmentioning

confidence: 99%

Numerical analysis of the explosion of gas tanks using computational fluid dynamics

Moura

Neto

Doz

2023

Rev. IBRACON Estrut. Mater.

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Buildings are composed of several systems, each with specific designs and regulations to ensure that constructions are safe and viable. Many residential, commercial, and industrial buildings have systems with gas central storage, which must be subjected to strict safety criteria to avoid accidents. In addition to the safety mechanisms provided by manufacturers, designers of these gas central storage must consider other devices to reduce explosion risk and mitigate the damaging blast effects. Explosions are physical-chemical phenomena that are characterized by the sudden expansion of a material and, consequently, energy release. When an accidental explosion occurs, much damage is caused by the shock wave and fragments. In the case of pressure vessels, a mechanical explosion can occur. Studying this explosion is essential to developing a more reliable, safe design for surrounding buildings and its users. This work aims to study the effects of gas tank explosions. In this study, the Autodyn computational tool based on fluid dynamics (CFD) is used. This software allows the modeling of complex explosion scenarios and the evaluation of blast wave parameters. For each numerical model, the overpressure levels outdoors and indoors are evaluated. The results indicated how the wave overpressures are distributed in different scenarios, and from them, it was possible to analyze the damaging levels.

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The Gilbert Johnson Keerthi distance algorithm coupled with computational fluid dynamics applied to gas explosion simulation

Cited by 12 publications

References 17 publications

Flame Surface Density based mean reaction rate closure for Reynolds averaged Navier Stokes methodology in turbulent premixed Bunsen flames with non-unity Lewis number

Flame Surface Density based mean reaction rate closure for Reynolds averaged Navier Stokes methodology in turbulent premixed Bunsen flames with non-unity Lewis number

Computational modelling of explosions caused by failed Li‐ion batteries

Numerical analysis of the explosion of gas tanks using computational fluid dynamics

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