Dr. Jaap de Vries Profile

Dr. Jaap de Vries

Vice President Innovation Science & Technology at FM Global

SPIE Involvement:

Conference Program Committee | Editor | Author

Proceedings Article | 14 May 2018 Presentation + Paper

Building a brain: how convolution neural networks can predict sprinkler activations

J. de Vries, Stanislav Kostka

Proceedings Volume 10661, 106610E (2018) https://doi.org/10.1117/12.2310130

KEYWORDS: Cameras, Long wavelength infrared, Infrared imaging, Neural networks, Convolution, Image filtering, Temperature metrology, Convolutional neural networks, Infrared radiation, Brain

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Proceedings Article | 13 June 2017 Presentation

Fire testing and infrared thermography of oak barrels filled with distilled spirits (Conference Presentation)

Jaap de Vries

Proceedings Volume 10214, 1021403 (2017) https://doi.org/10.1117/12.2263565

KEYWORDS: Thermography, Microbolometers, Cameras, Ranging, Infrared cameras, Bioalcohols, Calorimetry, Combustion, Medium wave, Carbon monoxide

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Proceedings Article | 11 May 2016 Paper

Flame attenuation effects on surface temperature measurements using IR thermography

Jaap de Vries, Robert Tabinowski

Proceedings Volume 9861, 98610U (2016) https://doi.org/10.1117/12.2225026

KEYWORDS: Signal attenuation, Temperature metrology, Black bodies, Infrared imaging, Cameras, Infrared cameras, Long wavelength infrared, Infrared radiation, Microbolometers, Image segmentation

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Proceedings Article | 12 May 2015 Paper

Temperature measurements on solid surfaces in rack-storage fires using IR thermography

J. de Vries, N. Ren, M. Chaos

Proceedings Volume 9485, 94850H (2015) https://doi.org/10.1117/12.2177042

KEYWORDS: Infrared cameras, Cameras, Temperature metrology, Thermal modeling, Infrared imaging, Long wavelength infrared, Calibration, Fermium, Frequency modulation, Thermography

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The development of fire modeling tools capable of predicting large-scale fire phenomena is of great value to the fire science community. To this end, FM Global has developed an open-source CFD fire simulation code, FireFOAM. The accuracy of this code relies fundamentally on high-quality experimental validation data. However, at larger scales, detailed measurements of local quantities (e.g., surface temperatures) needed for model validation are difficult to obtain. Often, the information obtained from large-scale fire tests is limited to the global heat release rates (HRR) or point temperature or heat flux measurements from embedded thermocouples or heat flux gauges, respectively. The present study addresses this limitation by introducing IR thermographic measurements in a three- and a five-tier-high rack storage scenario. IR temperatures are compared against modeled results. The tested and modeled cases represent realistic industrial warehouse fire scenarios. The rack-stored commodity consisted of corrugated paperboard boxes wrapped around a steel cubic liners, placed on top of a hardwood pallet. The global heat release rate was measured using a 20- MW fire products collector located inside FM Global’s Fire Technology Laboratory. An in-house calibrated microbolometer IR camera was used to obtain two-dimensional temperature measurements on the fuel surfaces and on the surfaces inside the flue spaces. Maximum temperatures up to 1200 K were observed on the external surfaces of the test array. Inside the flue spaces between pallet loads, temperatures up to 1400 K were measured. The modeled fire spread results match well fire spread shown in the IR thermographic images. The peak modeled surface temperatures obtained inside some of the horizontal flue spaces were ~1400K, which agreed well with the peak temperatures seen by the IR camera. The effect of the flames present between the surfaces of interest and the IR camera only contribute to about 50 K increase in measured temperature due to the limited flame emissive power with low soot concentration in the long-wave IR regime. This study shows the capability of IR cameras to obtain high resolution temperature measurements in large-scale fire scenarios, which enhances existing large-scale model validation data set.

Proceedings Article | 22 May 2013 Paper

In-situ calibration of a microbolometer camera for the study of large-scale fires

Jaap de Vries

Proceedings Volume 8705, 870506 (2013) https://doi.org/10.1117/12.2014608

KEYWORDS: Cameras, Calibration, Infrared cameras, Temperature metrology, Black bodies, Staring arrays, Infrared imaging, Microbolometers, Fermium, Frequency modulation

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