RT @FireTechnology: The Bono Award for Engineering Communications goes to best Fire Technology paper that contributes the advancement of pr…
Congratulations! https://t.co/pb5d2G5dYY
Congratulations to Kevin McGrattan, Richard Peacock and Kristopher Overholt https://t.co/MDllpS2yMx
Congratulations @NIST_Fire https://t.co/5ThQsuGnvG
The Bono Award for Engineering Communications goes to best Fire Technology paper that contributes the advancement of professional fire protection engineering. The winner of last year was: "Validation of Fire Models Applied to Nuclear Power Plant Safety" ht
On uncertainty of fire models CFAST and FDS vs. large experimental data set http://t.co/YSeKzIK4gt @NIST_Fire http://t.co/yt3Fe2054j
On uncertainty of fire models CFAST and FDS vs. large experimental data set http://t.co/YSeKzIK4gt @NIST_Fire http://t.co/yt3Fe2054j
On uncertainty of fire models CFAST and FDS vs. large experimental data set http://t.co/YSeKzIK4gt @NIST_Fire http://t.co/yt3Fe2054j
On uncertainty of fire models CFAST and FDS vs. large experimental data set http://t.co/YSeKzIK4gt @NIST_Fire http://t.co/yt3Fe2054j
On uncertainty of fire models CFAST and FDS vs. large experimental data set http://t.co/YSeKzIK4gt @NIST_Fire http://t.co/yt3Fe2054j
On uncertainty of fire models CFAST and FDS vs. large experimental data set http://t.co/YSeKzIK4gt @NIST_Fire http://t.co/yt3Fe2054j
On uncertainty of fire models CFAST and FDS vs. large experimental data set http://t.co/YSeKzIK4gt @NIST_Fire http://t.co/yt3Fe2054j
On uncertainty of fire models CFAST and FDS vs. large experimental data set http://t.co/YSeKzIK4gt @NIST_Fire http://t.co/yt3Fe2054j