TY - GEN
T1 - Modeling and simulating blast effects on electric substations
AU - Roybal, Lyle G.
AU - Jeffers, Robert F.
AU - McGillivary, Kent E.
AU - Paul, Tony D.
AU - Jacobson, Ryan
PY - 2009
Y1 - 2009
N2 - A software simulation tool was developed at Idaho National Laboratory to estimate the fragility of electric substation components subject to an explosive blast. Damage caused by explosively driven fragments on a generic electric substation was estimated by using a ray-tracing technique to track and tabulate fragment impacts and penetrations of substation components. This technique is based on methods used for assessing vulnerability of military aircraft and ground vehicles to explosive blasts. An open-source rendering and ray-trace engine was used for geometric modeling and interactions between fragments and substation components. Semiempirical material interactions models were used to calculate blast parameters and simulate high-velocity material interactions between explosively driven fragments and substation components. Finally, a Monte Carlo simulation was added to model the random nature of fragment generation allowing a skilled analyst to predict failure probabilities of substation components.
AB - A software simulation tool was developed at Idaho National Laboratory to estimate the fragility of electric substation components subject to an explosive blast. Damage caused by explosively driven fragments on a generic electric substation was estimated by using a ray-tracing technique to track and tabulate fragment impacts and penetrations of substation components. This technique is based on methods used for assessing vulnerability of military aircraft and ground vehicles to explosive blasts. An open-source rendering and ray-trace engine was used for geometric modeling and interactions between fragments and substation components. Semiempirical material interactions models were used to calculate blast parameters and simulate high-velocity material interactions between explosively driven fragments and substation components. Finally, a Monte Carlo simulation was added to model the random nature of fragment generation allowing a skilled analyst to predict failure probabilities of substation components.
UR - http://www.scopus.com/inward/record.url?scp=70449679235&partnerID=8YFLogxK
U2 - 10.1109/THS.2009.5168058
DO - 10.1109/THS.2009.5168058
M3 - Conference contribution
AN - SCOPUS:70449679235
SN - 9781424441785
T3 - 2009 IEEE Conference on Technologies for Homeland Security, HST 2009
SP - 351
EP - 357
BT - 2009 IEEE Conference on Technologies for Homeland Security, HST 2009
T2 - 2009 IEEE Conference on Technologies for Homeland Security, HST 2009
Y2 - 11 May 2009 through 12 May 2009
ER -