@inproceedings{2c486c370c264646ab6a4cb5320cf376,
title = "Reducing the Time-to-Solution for Finite Element Analysis of Gas Turbine Engines",
abstract = "The design of gas-turbine engines relies on physics-based modeling and simulation, including finite element analysis (FEA). Improvements in the methods used and the parallel scalability of FEA codes allows faster time-to-solution, enabling improvements in product design. This paper will describe recent improvements in the time-to-solution for modeling gas-turbine engines with LS-DYNA. Results are presented using as many as 16384 processors on the Blue Waters and Titan supercomputers.",
author = "Simons, {Todd A.} and James Ong and Lucas, {Robert F.} and Rouet, {Fran{\c c}ois Henry} and Roger Grimes and Erman Gulyeruz and Seid Koric and Zhu, {Ting Ting} and Jef Dawson",
note = "Funding Information: This research used resources of the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC05-00OR22725. The authors would like to thank the NCSA Industry Program and the Blue Waters sustained-petascale computing project at the National Center for Supercomputing Applications (NCSA). Blue Waters is supported by the National Science Foundation (award numbers OCI 07-25070 and ACI-1238993) and the state of Illinois.; AIAA Propulsion and Energy Forum and Exposition, 2019 ; Conference date: 19-08-2019 Through 22-08-2019",
year = "2019",
month = aug,
day = "16",
doi = "10.2514/6.2019-4456",
language = "English (US)",
isbn = "9781624105906",
series = "AIAA Propulsion and Energy Forum and Exposition, 2019",
publisher = "American Institute of Aeronautics and Astronautics Inc, AIAA",
booktitle = "AIAA Propulsion and Energy Forum and Exposition, 2019",
}