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Synthetic Temperature Data for Predicting Flashover Occurrence Using Surrogate Temperature Data

This data set provides heat detector temperatures in a single-story ranch structure with a living room, kitchen, dining room, and three bedrooms. 20000 sets of detector temperatures are generated using CData [1]. The data set are obtained based on simulation runs with various fire conditions and door opening conditions. The fire is described based on t-squared law. The peak heat release rate and time to peak range from approximately 1667 kW to 4620 kW and from 210 s to 1540 s, respectively. A detailed description of this work can be found in Ref. [2].[1] Reneke, P.A., Peacock, R.D., Gilbert, S.W. and Cleary, T.G., 2021. CFAST Consolidated Fire and Smoke Transport (Version 7) Volume 5: CFAST Fire Data Generator (CData). NIST Technical Note 1889v5. Gaithersburg, MD.[2] Fu, E.Y., Tam, W.C., Wang, J., Peacock, R., Reneke, P., Ngai, G., Leong, H.V. and Cleary, T., 2021, May. Predicting Flashover Occurrence using Surrogate Temperature Data. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, No. 17, pp. 14785-14794).

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Updated: 2025-04-06
Metadata Last Updated: 2021-01-09 00:00:00
Date Created: N/A
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Dataset Owner: N/A

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Title Synthetic Temperature Data for Predicting Flashover Occurrence Using Surrogate Temperature Data
Description This data set provides heat detector temperatures in a single-story ranch structure with a living room, kitchen, dining room, and three bedrooms. 20000 sets of detector temperatures are generated using CData [1]. The data set are obtained based on simulation runs with various fire conditions and door opening conditions. The fire is described based on t-squared law. The peak heat release rate and time to peak range from approximately 1667 kW to 4620 kW and from 210 s to 1540 s, respectively. A detailed description of this work can be found in Ref. [2].[1] Reneke, P.A., Peacock, R.D., Gilbert, S.W. and Cleary, T.G., 2021. CFAST Consolidated Fire and Smoke Transport (Version 7) Volume 5: CFAST Fire Data Generator (CData). NIST Technical Note 1889v5. Gaithersburg, MD.[2] Fu, E.Y., Tam, W.C., Wang, J., Peacock, R., Reneke, P., Ngai, G., Leong, H.V. and Cleary, T., 2021, May. Predicting Flashover Occurrence using Surrogate Temperature Data. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, No. 17, pp. 14785-14794).
Modified 2021-01-09 00:00:00
Publisher Name National Institute of Standards and Technology
Contact mailto:[email protected]
Keywords Flashover Prediction; Recurrent Neural Network; Validation with Experimental Data; Smart Fire Fighting
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