TY - JOUR
T1 - Theoretical, numerical, and experimental investigation of smoke dynamics in high-rise buildings
AU - Ahn, Chan Sol
AU - Bang, Boo Hyoung
AU - Kim, Min Woo
AU - James, Scott C.
AU - Yarin, Alexander L.
AU - Yoon, Sam S.
N1 - Funding Information:
This work was supported by the National Research Council of Science & Technology (NST) grant by the Korea government (MSIP) (No. CRC-16-02-KICT). This work was also supported by Advanced Research Center Program (NRF-2013R1A5A1073861) and NRF-2016M1A2A2936760.
Funding Information:
This work was supported by the National Research Council of Science & Technology (NST) grant by the Korea government (MSIP) (No. CRC-16-02-KICT ). This work was also supported by Advanced Research Center Program ( NRF-2013R1A5A1073861 ) and NRF-2016M1A2A2936760 .
Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2019/6
Y1 - 2019/6
N2 - Smoke kills more people than the associated fire and thus predicting smoke spreading inside high-rise buildings is of paramount importance to structural and safety engineers. Here, the velocity, temperature, and concentration fields in large-scale turbulent smoke plumes were predicted using classical self-similar turbulent plume theory, which assumes a point fire source under open-air conditions. Turbulent fires of various heat release rates in a confined space were also simulated numerically using Fire Dynamics Simulator (FDS), which was verified against experimental data before being used to validate the analytical plume jet results. The agreement between analytical, numerical, and experimental results was good. This demonstrates for the first time that for realistic, wide shafts, analytical results from self-similar theory of free turbulent plumes are as accurate as the numerical simulations and appropriately describe experimental data. This allows engineers to avoid lengthy, cumbersome numerical simulations to estimate the consequences of smoke spreading in high-rise buildings using simple analytical formulae. In addition, parametric studies were conducted using plume theory for building heights up to 500 m and heat release rates up to 500 MW. Smoke velocity, temperature, and concentration fields described smoke evolution at different heights.
AB - Smoke kills more people than the associated fire and thus predicting smoke spreading inside high-rise buildings is of paramount importance to structural and safety engineers. Here, the velocity, temperature, and concentration fields in large-scale turbulent smoke plumes were predicted using classical self-similar turbulent plume theory, which assumes a point fire source under open-air conditions. Turbulent fires of various heat release rates in a confined space were also simulated numerically using Fire Dynamics Simulator (FDS), which was verified against experimental data before being used to validate the analytical plume jet results. The agreement between analytical, numerical, and experimental results was good. This demonstrates for the first time that for realistic, wide shafts, analytical results from self-similar theory of free turbulent plumes are as accurate as the numerical simulations and appropriately describe experimental data. This allows engineers to avoid lengthy, cumbersome numerical simulations to estimate the consequences of smoke spreading in high-rise buildings using simple analytical formulae. In addition, parametric studies were conducted using plume theory for building heights up to 500 m and heat release rates up to 500 MW. Smoke velocity, temperature, and concentration fields described smoke evolution at different heights.
KW - Fire Dynamics Simulator
KW - High-rise buildings
KW - Self-similar turbulent plume
KW - Smoke dynamics
UR - http://www.scopus.com/inward/record.url?scp=85061332076&partnerID=8YFLogxK
U2 - 10.1016/j.ijheatmasstransfer.2018.12.093
DO - 10.1016/j.ijheatmasstransfer.2018.12.093
M3 - Article
AN - SCOPUS:85061332076
VL - 135
SP - 604
EP - 613
JO - International Journal of Heat and Mass Transfer
JF - International Journal of Heat and Mass Transfer
SN - 0017-9310
ER -