U.S. Air Force Summer Faculty Fellowship Program

U.S. Air Force Summer Faculty Fellowship Program

U.S. Air Force Summer Faculty Fellowship Program

U.S. Air Force Summer Faculty Fellowship Program

96th Test Wing, Elgin Air Force Base, Florida

SF.60.14.B1004: Computational Electromagnetics (CEM) for Predict of Electromagnetic Interference (EMI)

Johnson, M.

(850) 882-0970

Our research interests are related to Computational Electromagnetics (CEM). Realizing that a very large body of research exists addressing the topic at theoretical levels, I'm interested in understanding the application of CEM to very large problems, be them physically large structures or electrically large systems, ultimately to predict Electromagnetic Interference (EMI). Using CEM for large systems requires simplifications, assumptions, limitations that cause uncertainty in the answer. I am interested in methods to quantify those uncertainties to the greatest extent possible, or at least qualify them to a level that can be managed through risk assessments, application of margin, etc. Certainly the end goal is to reduce uncertainty to levels that no longer impact the use of the simulation for practical purposes. Since predicting EMI to aircraft components is impractical, I'm also interested in approximations and methods that can predict and quantify the likelihood of EMI to large systems. We are seeking highly-qualified and motivated individuals for collaboration in the advancement of current state-of-the-art methodology in specific research areas while enhancing the capabilities of tools employed by USAF to support test and evaluation.

SF.60.14.B1006: Advanced Computational Algorithms for Characterizing Aircraft Aeroelastic Nonlinearities

Denegri, C.

(850) 882-0396

Research interests are in characterizing aircraft aeroelastic nonlinearities and development of theoretical prediction methodologies for flutter certification of real-world fighter aircraft. Advanced computational algorithms are needed to provide fast, accurate solutions to flutter related dynamics. Optimal use of HPC resources are often a concern due to the trades encountered in accuracy, speed, and performance, so techniques that identify the best algorithms for configurations and trade spaces under investigation are of high interest. We are seeking highly-qualified and motivated individuals for collaboration in the advancement of current state-of-the-art methodology in specific research areas while enhancing the capabilities of tools employed by USAF to support test and evaluation. Applicants that utilize current U.S. DOD and/or NASA codes will be given preference. Previous access to U.S. DOD HPC resources is also preferred.

Air Force Test Center

Douglas Hoffelt
AFTC Technology Transfer & Research Manager
1 South Rosamond Blvd, Bldg 1
Edwards AFB, CA 93524
Phone: (661) 277-9111/DSN: 527-9111
E-mail: douglas.hoffelt.1@us.af.mil