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Evaluation of the Computer Fire Model DETACT-QS
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Evaluation of the Computer Fire Model DETACT-QS/
團體作者:
Society for Fire Protection Engineers.
面頁冊數:
XXVI, 157 p. 50 illus.online resource. :
Contained By:
Springer Nature eBook
標題:
Computer Modelling. -
電子資源:
https://doi.org/10.1007/978-3-030-82295-8
ISBN:
9783030822958
Evaluation of the Computer Fire Model DETACT-QS
Society for Fire Protection Engineers.author.
Evaluation of the Computer Fire Model DETACT-QS
[electronic resource]. - 1st ed. 2022. - XXVI, 157 p. 50 illus.online resource. - The Society of Fire Protection Engineers Series,2731-3646. - The Society of Fire Protection Engineers Series,.
Introduction -- Model Description -- Scenarios for Which Evaluation Is Sought -- Theoretical Basis for the Model -- Mathematical and Numerical Robustness -- Model Sensitivity -- Model Inputs0 -- Model Evaluation -- Summary of Analysis0 -- Limitations/User Guidelines -- Appendix A -- Appendix B.
This engineering practice Guide, based on the DETACT-QS program, describes a model for predicting the response time of ceiling-mounted heat detectors/sprinklers and smoke detectors, installed under large unobstructed ceilings, for fires with user-defined, time-dependent heat release rate curves. The Guide provides information on the technical features, theoretical basis, assumptions, limitations, and sensitivities as well as guidance on the use of DETACT-QS. Evaluation is based on comparing predictions from DETACT-QS with results from full-scale fire experiments conducted in compartments with ceiling heights ranging from 2.44 m (8 ft) to 12.2 m (40 ft) and peak fire heat release rates ranging from 150 kW to 3.8 MW. Use of this model with building geometries or fire characteristics other than those used in this evaluation may require further evaluation or testing.
ISBN: 9783030822958
Standard No.: 10.1007/978-3-030-82295-8doiSubjects--Topical Terms:
1365730
Computer Modelling.
LC Class. No.: TH9111-9745
Dewey Class. No.: 628.92
Evaluation of the Computer Fire Model DETACT-QS
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