Temperature Distribution Characteristics of Steel Circular Tube Members under Oil Pool Fire Conditions: Experiment and Numerical Simulation

Wu, Gang; Wang, Xin; Xie, Xingbo; Ji, Chong; Gao, Zhenru; Zhao, Changxiao

doi:10.1007/s10765-021-02866-1

Cited by 7 publications

(3 citation statements)

References 14 publications

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“…For example, it is employed in characterizing the thermal behavior of materials during mechanical tests such as tensile tests [1], fatigue tests [2], and machining operations [3]. Additionally, it is utilized in the detection of defective products [4][5][6][7][8], or to characterize materials [9][10][11][12]. This measurement technique is relatively simple to set up and is non-destructive.…”

Section: Introductionmentioning

confidence: 99%

In-Situ Pixel-wise Emissivity Measurement Using a Multispectral Infrared Camera

Poissenot-Arrigoni,

Marcon,

Rossi

et al. 2023

J. Imaging

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In the thermography process, accurately determining emissivity is crucial to obtain precise temperature measurements as it enables the conversion of radiometric values to absolute temperatures. However, assessing emissivity is not a straightforward task as it depends on various other parameters. Traditional methods for measuring emissivity often involve costly materials and cannot be carried out simultaneously with infrared image acquisition. This article presents a method for obtaining pixel-wise emissivity using data from a multispectral infrared camera. Consequently, this method allows for direct emissivity measurement during infrared camera acquisition without the need for additional materials or experiments.

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Section: Introductionmentioning

confidence: 99%

In-Situ Pixel-wise Emissivity Measurement Using a Multispectral Infrared Camera

Poissenot-Arrigoni,

Marcon,

Rossi

et al. 2023

J. Imaging

View full text Add to dashboard Cite

show abstract

“…For example, it is employed in characterizing the thermal behavior of materials during mechanical tests such as tensile tests [1], fatigue tests [2], and machining operations [3]. Additionally, it is utilized in the detection of defective products [4], [5], [6], or to characterize material [7], [8], [9]. This measurement technique is relatively simple to set up and is non-destructive.…”

Section: Introductionmentioning

confidence: 99%

In-situ pixel wise emissivity measurement using a multispectral infrared camera

Poissenot-Arrigoni

Marcon

Rossi

et al. 2023

Preprint

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In the thermography process, accurately determining emissivity is crucial for obtaining precise temperature measurements as it enables the conversion of radiometric values to absolute temperatures. However, assessing emissivity is not a straightforward task as it depends on various other parameters. Traditional methods for measuring emissivity often involve costly materials and cannot be carried out simultaneously with infrared image acquisition. This article presents a method for obtaining pixel-wise emissivity using data from a multispectral infrared camera. Consequently, this method allows for direct emissivity measurement during infrared camera acquisition without the need for additional materials or experiments.

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“…The results showed that the pyrolysis front of the RPU foam was positively correlated with time under different inclination angles. Wu et al 12 studied the combustion of a 5‐mm‐thick steel pipe in an oil pool fire and obtained the temperature characteristics and laws under different fire source positions. The experimental results were consistent with those of the simulations.…”

Section: Introductionmentioning

confidence: 99%

Experimental and simulation study on the combustion fire spreading characteristics of aluminum composite panels with different thicknesses

Zhang

Zhou

et al. 2022

Fire and Materials

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To study the effect of thickness on the fire spreading characteristics of aluminum composite panels, a reduced‐scale test bench was built to simulate the development of an overflow fire in a high‐rise building. Analysis of the fire spreading characteristics was performed in terms of the flame shape, flame height, fire spread rate, and temperature change. Then, an Fire Dynamics Simulatior model was established to verify the accuracy of the experiment using numerical simulations. The results showed that the flame shape of the 3 and 4 mm aluminum composite panels was a triangular cone, while the flame shape of the 5 and 6 mm aluminum composite panels was approximately rectangular. By establishing the dimensionless flame height, the flame height increased with the panel thickness. The fire spread rate of the aluminum composite panels increased first and then decreased upon increasing the thickness, which was consistent with the simulation results. The temperature change curves all showed a rapid initial increase and then a stable temperature in the later period. The simulation results conformed well to the experimental results.

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Temperature Distribution Characteristics of Steel Circular Tube Members under Oil Pool Fire Conditions: Experiment and Numerical Simulation

Cited by 7 publications

References 14 publications

In-Situ Pixel-wise Emissivity Measurement Using a Multispectral Infrared Camera

In-Situ Pixel-wise Emissivity Measurement Using a Multispectral Infrared Camera

In-situ pixel wise emissivity measurement using a multispectral infrared camera

Experimental and simulation study on the combustion fire spreading characteristics of aluminum composite panels with different thicknesses

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