Journal: Fire safety journal

Article Title: An analytical approach for estimating uncertainty in measured temperatures of concrete slab during fire

doi:

Figure Lengend Snippet: Finite element mesh used in the ANSYS simulation.

Article Snippet: The positive rankorder correlation coefficient for thermal conductivity (red) indicates that concrete temperatures increase with increase in its thermal conductivity, while they decrease with increase in heat capacity (green) and density of concrete (blue). fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window Fig. 5. caption a7 Sensitivity plot for temperatures obtained from ANSYS Monte Carlo simulation for a location at a distance of 0.0114 m from the exposed surface (time=750.2 s). (For interpretation of the references to color in this figure, the reader is referred to the web version of this article.) compares uncertainties in temperatures computed with both of these approaches.

Techniques:

Journal: Fire safety journal

Article Title: An analytical approach for estimating uncertainty in measured temperatures of concrete slab during fire

doi:

Figure Lengend Snippet: Comparison of the time dependent temperatures obtained with 1-D analytical heat transfer model and mean temperatures from ANSYS Monte Carlo simulation for a location at a distance of 0.0114 m from the exposed surface.

Article Snippet: The positive rankorder correlation coefficient for thermal conductivity (red) indicates that concrete temperatures increase with increase in its thermal conductivity, while they decrease with increase in heat capacity (green) and density of concrete (blue). fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window Fig. 5. caption a7 Sensitivity plot for temperatures obtained from ANSYS Monte Carlo simulation for a location at a distance of 0.0114 m from the exposed surface (time=750.2 s). (For interpretation of the references to color in this figure, the reader is referred to the web version of this article.) compares uncertainties in temperatures computed with both of these approaches.

Techniques: Comparison

Journal: Fire safety journal

Article Title: An analytical approach for estimating uncertainty in measured temperatures of concrete slab during fire

doi:

Figure Lengend Snippet: Histogram of temperatures in Celsius obtained from ANSYS Monte Carlo simulation for a location at a distance of 0.0114 m from the exposed surface (time=750.2 s).

Article Snippet: The positive rankorder correlation coefficient for thermal conductivity (red) indicates that concrete temperatures increase with increase in its thermal conductivity, while they decrease with increase in heat capacity (green) and density of concrete (blue). fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window Fig. 5. caption a7 Sensitivity plot for temperatures obtained from ANSYS Monte Carlo simulation for a location at a distance of 0.0114 m from the exposed surface (time=750.2 s). (For interpretation of the references to color in this figure, the reader is referred to the web version of this article.) compares uncertainties in temperatures computed with both of these approaches.

Techniques:

Journal: Fire safety journal

Article Title: An analytical approach for estimating uncertainty in measured temperatures of concrete slab during fire

doi:

Figure Lengend Snippet: Sensitivity plot for temperatures obtained from ANSYS Monte Carlo simulation for a location at a distance of 0.0114 m from the exposed surface (time=750.2 s). (For interpretation of the references to color in this figure, the reader is referred to the web version of this article.)

Article Snippet: The positive rankorder correlation coefficient for thermal conductivity (red) indicates that concrete temperatures increase with increase in its thermal conductivity, while they decrease with increase in heat capacity (green) and density of concrete (blue). fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window Fig. 5. caption a7 Sensitivity plot for temperatures obtained from ANSYS Monte Carlo simulation for a location at a distance of 0.0114 m from the exposed surface (time=750.2 s). (For interpretation of the references to color in this figure, the reader is referred to the web version of this article.) compares uncertainties in temperatures computed with both of these approaches.

Techniques:

Journal: Fire safety journal

Article Title: An analytical approach for estimating uncertainty in measured temperatures of concrete slab during fire

doi:

Figure Lengend Snippet: Uncertainty in temperatures (u(T)) obtained from 1-D thermal model (Eq. (11)) and ANSYS Monte Carlo simulation for a location at a distance of 0.0114 m from the exposed surface.

Article Snippet: The positive rankorder correlation coefficient for thermal conductivity (red) indicates that concrete temperatures increase with increase in its thermal conductivity, while they decrease with increase in heat capacity (green) and density of concrete (blue). fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window Fig. 5. caption a7 Sensitivity plot for temperatures obtained from ANSYS Monte Carlo simulation for a location at a distance of 0.0114 m from the exposed surface (time=750.2 s). (For interpretation of the references to color in this figure, the reader is referred to the web version of this article.) compares uncertainties in temperatures computed with both of these approaches.

Techniques:

Journal: Fire safety journal

Article Title: An analytical approach for estimating uncertainty in measured temperatures of concrete slab during fire

doi:

Figure Lengend Snippet: Uncertainty in temperatures (u(T)) obtained from 1-D thermal model (Eq. (12)) and ANSYS Monte Carlo simulations (with N=100, 1000, and 2000) for a location at a distance of 0.0114 m from the exposed surface, considering uncertainty in fire temperatures in addition to the uncertainty in the concrete thermal properties.

Article Snippet: The positive rankorder correlation coefficient for thermal conductivity (red) indicates that concrete temperatures increase with increase in its thermal conductivity, while they decrease with increase in heat capacity (green) and density of concrete (blue). fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window Fig. 5. caption a7 Sensitivity plot for temperatures obtained from ANSYS Monte Carlo simulation for a location at a distance of 0.0114 m from the exposed surface (time=750.2 s). (For interpretation of the references to color in this figure, the reader is referred to the web version of this article.) compares uncertainties in temperatures computed with both of these approaches.

Techniques:

Journal: Fire safety journal

Article Title: An analytical approach for estimating uncertainty in measured temperatures of concrete slab during fire

doi:

Figure Lengend Snippet: A comparison of uncertainties computed with Eq. (12) and ANSYS Monte Carlo Simulations.

Article Snippet: The positive rankorder correlation coefficient for thermal conductivity (red) indicates that concrete temperatures increase with increase in its thermal conductivity, while they decrease with increase in heat capacity (green) and density of concrete (blue). fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window Fig. 5. caption a7 Sensitivity plot for temperatures obtained from ANSYS Monte Carlo simulation for a location at a distance of 0.0114 m from the exposed surface (time=750.2 s). (For interpretation of the references to color in this figure, the reader is referred to the web version of this article.) compares uncertainties in temperatures computed with both of these approaches.

Techniques: Comparison