Investigation of wind and smoke concentration effects on thermal instability of cylindrical tanks with fixed roof subjected to an adjacent fire

Pourkeramat, Alireza; Daneshmehr, Alireza; Jalili, Seifollah; Aminfar, Kiyarash

doi:10.1016/j.tws.2020.107384

Cited by 16 publications

(3 citation statements)

References 21 publications

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“…Fire phenomenon is a complex multiphysics process that requires input data from multiple sources for its precise modeling 22 . First, an accurate turbulence model is key in obtaining reliable fire modeling results.…”

Section: Research Backgroundmentioning

confidence: 99%

“…Fire phenomenon is a complex multiphysics process that requires input data from multiple sources for its precise modeling. 22 F I G U R E 1 Overview of integration of building information modeling and fire dynamics simulation and scope of work of this paper First, an accurate turbulence model is key in obtaining reliable fire modeling results. Large eddy simulation (LES) and direct numerical simulation (DNS) are scale-resolving approaches for turbulence that are commonly combined with CFD for fire dynamics analysis.…”

Section: Numerical Modeling Techniques For Fire Dynamics Analysismentioning

confidence: 99%

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A building information modeling‐fire dynamics simulation integrated framework for the simulation of passive fire protection in a mid‐scale cross‐laminated timber compartment: Numerical implementation and benchmarking

2022

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Construction fires are a big threat to worker safety and property safety. Mass timber buildings under construction are largely unprotected as they are not yet equipped with active fire protection systems. With the addition of Types IVA, B, and C, the 2021 International Building Code adopted stricter requirements for mass timber buildings that are under construction. Cross‐laminated timber (CLT) is used as the primary structural element for high‐rise mass timber buildings. However, to date, limited number of research studies investigated the impact of passive fire protection for CLT buildings that are under construction. To facilitate a better understanding of construction fires and their consequences, it is necessary to develop a numerical modeling solution for the early phases of a CLT construction project, which can be achieved by using building information models together with fire dynamics simulation (FDS). However, the numerical modeling technique must be benchmarked against experimental data first to then extrapolate the modeling technique to explore other parameters and conduct FDS analysis. Therefore, this paper develops and benchmarks a numerical modeling solution against a mid‐scale CLT compartment fire test by applying the FDS tool to simulate the fire behavior within the CLT compartment. The FDS analysis results are expected to validate the practicality of simulating the fire behavior in CLT structures using the numerical model proposed in this study. The overarching goal of this study is therefore to develop a comprehensive numerical modeling solution to simulate and assess passive fire protection sequencing in CLT buildings that are under construction.

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Section: Research Backgroundmentioning

confidence: 99%

Section: Numerical Modeling Techniques For Fire Dynamics Analysismentioning

confidence: 99%

A building information modeling‐fire dynamics simulation integrated framework for the simulation of passive fire protection in a mid‐scale cross‐laminated timber compartment: Numerical implementation and benchmarking

2022

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“…The FDS (Fire Dynamics Simulator, FDS) results showed that the studied dike pool fire might cause the domino effect in the tank area [ 24 ]. Pourkeramat et al combined CFD and Abaqus, and studied the influence of wind speed, wind direction and soot concentration on the adjacent tank structure through radiant heat flux [ 25 ]. Scarponi et al developed a 3D CFD model to analyze non-uniform fire scenarios, for example, LPG tanks exposed to partially engulfing pool fires [ 26 , 27 ].…”

Section: Introductionmentioning

confidence: 99%

Study on Dynamic Probability and Quantitative Risk Calculation Method of Domino Accident in Pool Fire in Chemical Storage Tank Area

Meng

Wei

Zhou

et al. 2022

IJERPH

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The domino event caused by fire is one of the common accidents in hydrocarbon storage tank farms, which further expands the severity and scope of the accident. Due to the different failure sequence of the storage tanks in a domino accident, the radiant heat generated by the failed storage tank to the target tank is different. Based on the influence of this synergistic effect, this study combined the Monte Carlo algorithm and FSEM, and proposed a fast real-time probability calculation method for a fire domino accident in a storage tank area, for the first time. This method uses the Monte Carlo algorithm to simulate all accident scenarios, and obtains the evolution of multiple escalation fire domino accidents under the synergistic effect according to FSEM, and then calculates the real-time failure probability and risk. Based on a comprehensive analysis of the accident propagation path, this method avoids the problem of a large amount of calculation, and is conducive to the rapid and effective analysis of the fire risk in a storage tank area and the formulation of corresponding risk reduction measures. The effectiveness and superiority of the proposed method were proved by a case study.

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Numerical study of failure modes of hazardous material tanks exposed to fire accidents in the process industry

Mo,

Xiao,

Chen

et al. 2024

Process Safety Progress

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Fire accidents in oil tank farms can trigger domino effects, leading to multiple tank fires with catastrophic consequences. Preventing losses in large‐scale tank farms requires a dynamic assessment of fire‐induced domino accidents. Existing research often focuses on calculating the time to failure (TTF) of storage tanks but overlooks the influence of failure modes. This study develops numerical models to explore failure modes of oil storage tanks with uniform and stepwise walls exposed to thermal radiation. Factors such as the flame heights of combustion tank, adjacent spacings, wall thickness, and tank volumes are considered. The numerical model employs a solid double‐layer flame model to determine thermal radiation intensity and temperature, followed by a dynamic stress–strain and buckling analysis to obtain time to buckling (TTB) and time to yielding (TTY). If TTB < TTY, the failure model is buckling; otherwise, the failure model is yielding. Results indicate that failure modes in nonuniform thermal fields include buckling and yielding, with stepwise walls favoring buckling and uniform walls favoring yielding. When the wall thickness is below the critical value, failure is yielding; otherwise, it is buckling. These findings support risk management and emergency response for fire‐induced domino effects in oil tank farms.

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Investigation of wind and smoke concentration effects on thermal instability of cylindrical tanks with fixed roof subjected to an adjacent fire

Cited by 16 publications

References 21 publications

A building information modeling‐fire dynamics simulation integrated framework for the simulation of passive fire protection in a mid‐scale cross‐laminated timber compartment: Numerical implementation and benchmarking

A building information modeling‐fire dynamics simulation integrated framework for the simulation of passive fire protection in a mid‐scale cross‐laminated timber compartment: Numerical implementation and benchmarking

Study on Dynamic Probability and Quantitative Risk Calculation Method of Domino Accident in Pool Fire in Chemical Storage Tank Area

Numerical study of failure modes of hazardous material tanks exposed to fire accidents in the process industry

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