The Probabilistic Analysis Consortium for Engines (PACE), developed and managed by the Ohio Aerospace Institute (OAI) under contract with the Air Force Research Laboratory, has announced a collaboration with SmartUQ to develop a probabilistic framework for quantifying uncertainties in the secondary flow and heat transfer model for turbine engines.

OAI formed PACE to develop, apply and validate advanced probabilistic methods that quantify uncertainty, achieving improvements in engine performance, cost and reliability.

Under their subcontract, SmartUQ will employ advanced statistical methods to quantify and predict uncertainty in key output parameters of the secondary flow model. Additionally, SmartUQ's approach will reduce the time needed for this analysis.

"At SmartUQ, our mission is to solve difficult uncertainty quantification and analytic problems for our clients, no matter the industry," said Peter Qian, Chief Scientist at SmartUQ. "This collaboration with PACE is a great opportunity to continue our mission and to solve one of the industry's top uncertainty quantification challenges."

SmartUQ, a premier uncertainty quantification and analytics software, employs a team of data scientists and engineers whose combined expertise have enhanced the analytic capabilities of their industry-leading clients.