scholarly journals An assessment of a possible bench scale screening protocol for predicting full-scale mattress fire behavior

2006 ◽  
Author(s):  
Thomas J Ohlemiller
2015 ◽  
Vol 2015 (16) ◽  
pp. 2760-2783
Author(s):  
Roland Jezek ◽  
Ed Kobylinski ◽  
Belinda Sturm ◽  
Mark Steichen ◽  
James L Barnard

2007 ◽  
Vol 2007 (9) ◽  
pp. 8355-8369
Author(s):  
Robert Wimmer ◽  
Jeneva Hinojosa ◽  
Kevin Selock ◽  
Sudhir Murthy ◽  
Charles Bott ◽  
...  

2007 ◽  
Vol 57 (7) ◽  
pp. 794-802 ◽  
Author(s):  
Hualiang Teng ◽  
Valerian Kwigizile ◽  
David James ◽  
Valerian Kwigizile ◽  
David James ◽  
...  

2001 ◽  
Vol 1 (4) ◽  
pp. 35-42 ◽  
Author(s):  
I.C. Escobar ◽  
A.A. Randall ◽  
S.K. Hong

The main objective of this research was to evaluate the effectiveness of nanofiltration (NF) at full and bench scale for controlling AOC and BDOC, which are the main indicators of biological stability of the finished potable water. One of the major observations from full-scale operation was that nanofiltration was a very effective means to reduce BDOC, but conversely, did not reject a significant fraction of AOC. The high BDOC rejection by nanofiltration (NF) membranes at full scale can be explained by size exclusion, since a significant fraction of BDOC consists of compounds, such as humic and fulvic acids, which are larger than the pores of NF membranes (molecular-weight cutoff ≈200 daltons). The insignificant AOC rejection observed in full-scale systems was probably due to the low pH, high hardness, and high ionic strength (TDS) of the raw water. Bench scale tests using simulated waters clearly demonstrated that AOC removal by NF membranes decreases markedly with decreasing pH, and increasing hardness and ionic strength, implying that electrostatic repulsion plays a significant role in AOC removal mechanisms. These solution environments repress the electrostatic interaction between charged organic compounds and membranes, allowing passage of small molecular weight compounds and thus reducing AOC rejection.


2003 ◽  
Vol 2 (5) ◽  
pp. 395-400 ◽  
Author(s):  
J Brewster ◽  
J Oleszkiewicz ◽  
G Bujoczek ◽  
R S Reimers ◽  
M Abu-Orf ◽  
...  
Keyword(s):  
Fly Ash ◽  

Author(s):  
Monica Galdo-Vega ◽  
Rafael Ballesteros-Tajadura ◽  
Carlos Santolaria-Morros

In this work, a numerical 3D simulation of a longitudinal ventilation system is developed to analyze the fire behavior inside a road tunnel. Recent disasters, like crashes in the Mont Blanc tunnel (France, 1999) or San Gottardo (Italy, 2001), have shown the need for better integral actions during possible fire incidents. The minimum delay time, required for starting the jet fans, or the evolution of the smoke patterns inside the tunnel are critical issues when rescue plans are designed. Some methods to study the smoke propagation during a fire are: pseudo-thermal scale models, full scale test and numerical models. Several contributions using the first method can be found in references [1], [2] and [3]. However it is very difficult to extrapolate the results from this kind of models. The second method (full scale test) is the most expensive of all and only two of them have been conducted recently: EUREKA Project [4] and the Memorial Tunnel Fire Ventilation Test Program [5]. The last method (numerical models) it is now under development. The objective of this work is to validate a numerical model, to predict the behavior of the smoke generated during a fire incident inside a road tunnel, comparing its results with previous experimental data collected in the Memorial Tunnel Project. In addition, a good agreement was achieved, so a methodology to predict the performance of a longitudinal ventilation system in case of fire was accurately established.


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