Experimental investigation of small-scale CS2 (carbon disulphide) pool fires

Mishra, Saumitra; Vishwakarma, Pushpendra Kumar; Sharma, Ankit; Mishra, Kirti Bhushan

doi:10.1016/j.psep.2020.08.002

Cited by 9 publications

(2 citation statements)

References 28 publications

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“…Sprinkled water extinguishing systems can promptly decrease surface temperature, lessen the spread of a pool fire, and/or cool the temperature of smoke, thus easily decreasing overpressure caused by the high temperature of smoke. Therefore, in order to rapidly extinguish and minimize the generation of smoke from a kerosene pool fire at the rocket launchpad basement facility, this study performed the FDS using the FDS' sprinkled water system operation model and fire suppression mode to measure cooling effects and performance [25,[27][28][29][30][31]. The following equations summarize the sprinkler response equation and the fire suppression equation through sprinkler activation.…”

Section: Sprinkle Modelmentioning

confidence: 99%

An FDS Simulation to Predict the Kerosene Pool Fire Results at Rocket Launchpad Basement Facilities in the Republic of Korea

Kim,

Jang,

Yeo

et al. 2023

Fire

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In the Republic of Korea, a new rocket launchpad was constructed to launch the KSLV-II on an island, and all the launchpad facilities are located in basement. Because of the complex and diverse facilities, fire accidents have increased. Using the FDS (Fire Dynamics Simulator) to predict the damage from kerosene storage and drain tank pool fires is garnering more attention as a tool of choice. The FDS supports a sprinkler model, which is needed to analyze fire extinguishing by water sprinkling. To predict and estimate the resistance of the building and thermal damage, the main analysis factors for a kerosene tank pool fire accident are temperature and HRR (heat release rate per unit volume). In 3 m3 release cases, the maximum temperature decreased by 33% from 900 K to 600 K by sprinkled water, and the maximum HRR decreased by 70% from 20,000 kW/m3 to 6000 kW/m3. In 10 m3 release cases, the temperature and HRR decreased by 44%, from 800 K to 450 K and 68% from 25,000 kW/m3 to 8000 kW/m3, respectively.

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Section: Sprinkle Modelmentioning

confidence: 99%

An FDS Simulation to Predict the Kerosene Pool Fire Results at Rocket Launchpad Basement Facilities in the Republic of Korea

Kim,

Jang,

Yeo

et al. 2023

Fire

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“…Studies about pool fires are mainly conducted in open space under near-zero ullage height (distance between fuel surface and the container/pool upper rim) conditions. These studies were mainly focused on the burning rate [8][9][10][11][12], flame height and pulsation [13][14][15][16], air entrainment [17,18], flame radiation [19][20][21][22], and heat feedback [23,24]. Revealing the effects of ullage height on the burning behaviors of pool fires, yet has to be done.…”

Section: Introductionmentioning

confidence: 99%

Experimental and numerical study of the effects of ullage height on plume flow and combustion characteristics of pool fires

Liu

Jangi

et al. 2021

Process Safety and Environmental Protection

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Façade Fires in High-Rise Buildings: Challenges and Artificial Intelligence Solutions

Sharma,

Zhang,

Dwivedi

2024

Sustainable Structures and Buildings

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In recent decades, there has been an increased demand for tall buildings to meet the needs of modern urbanization. However, the construction challenges and greater fuel loads involved have resulted in frequent fire incidents, causing significant losses in terms of life and property. This has led engineers and researchers around the world to develop safety measures. Therefore, it is essential to comprehend the physics behind fire and smoke propagation in high-rise buildings and take steps to prevent their future occurrence. This also greatly aids in achieving sustainable development goals (SDGs) of the Paris Agreement, specifically goal 11, i.e., make cities and human settlements inclusive, safe, resilient, and sustainable. This chapter presents an overview of characteristics for understanding high-rise building fires with a particular focus on façades. It has been further divided into different sections. First, basic terminology of façades and fire growth curve is discussed followed by design fire scenarios. Next, characteristics and mechanisms of façade fires are explained. Finally, the solution to adopt artificial intelligence (AI)/deep learning technologies for early warning and fire risk assessment is introduced. AI can be used to simulate fire scenarios, helping architects and engineers design efficient fire safety systems.

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Experimental investigation of small-scale CS2 (carbon disulphide) pool fires

Cited by 9 publications

References 28 publications

An FDS Simulation to Predict the Kerosene Pool Fire Results at Rocket Launchpad Basement Facilities in the Republic of Korea

An FDS Simulation to Predict the Kerosene Pool Fire Results at Rocket Launchpad Basement Facilities in the Republic of Korea

Experimental and numerical study of the effects of ullage height on plume flow and combustion characteristics of pool fires

Façade Fires in High-Rise Buildings: Challenges and Artificial Intelligence Solutions

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