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Charring rates of different wood spe...
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White, Robert Hawthorne.
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Charring rates of different wood species.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Charring rates of different wood species./
作者:
White, Robert Hawthorne.
面頁冊數:
233 p.
附註:
Source: Dissertation Abstracts International, Volume: 49-05, Section: B, page: 1472.
Contained By:
Dissertation Abstracts International49-05B.
標題:
Agriculture, Wood Technology. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=8809060
Charring rates of different wood species.
White, Robert Hawthorne.
Charring rates of different wood species.
- 233 p.
Source: Dissertation Abstracts International, Volume: 49-05, Section: B, page: 1472.
Thesis (Ph.D.)--The University of Wisconsin - Madison, 1988.
Analytical methods that predict the endurance of structural wood members in a fire are based on the reduction of the cross section of the member due to charring of the wood. In order to define the charring rate in terms of more fundamental properties, it was decided to establish empirical models.Subjects--Topical Terms:
1031154
Agriculture, Wood Technology.
Charring rates of different wood species.
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Charring rates of different wood species.
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233 p.
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Source: Dissertation Abstracts International, Volume: 49-05, Section: B, page: 1472.
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Supervisor: Hans J. Kubler.
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Thesis (Ph.D.)--The University of Wisconsin - Madison, 1988.
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Analytical methods that predict the endurance of structural wood members in a fire are based on the reduction of the cross section of the member due to charring of the wood. In order to define the charring rate in terms of more fundamental properties, it was decided to establish empirical models.
520
$a
In the development of such models, eight species were tested for charring rates as well as the material properties. The material properties were density, moisture content, longitudinal gas permeability, treatability (transverse permeability), diffusion coefficient, chemical composition, heat of combustion, and thermal degradation constants. A small vertical gas-fired furnace and the ASTM E 119 fire exposure standard were used to determine the charring rates.
520
$a
Regression analysis was used to develop models for the charring rate. The selected empirical models based on the initial factorial design included density, moisture content, treatability and hardwood/softwood classification as predictor variables. When a char contraction factor was added as a predictor variable, the resulting model was very simple. It contained only the main factors of density, moisture content, and the char contraction factor. The char contraction factor was the thickness of the char layer divided by the char depth. The char depth was based on the original thickness of the wood member.
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$a
Predictions of charring rate data in the literature showed good agreement but a need to include some additional factor in the model. Agreement between char contraction reported in the literature for nitrogen environment and the contraction factors measured in the charring tests suggested that char oxidation was not a major factor in the surface recession of the char layer. As in previous work, this study shows the importance of surface recession and moisture content to wood charring.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=8809060
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