Combined Analytical and Experimental Approaches to Rotor and Dynamic Component Stress Predictions Navy SBIR FY2008.1 Sol No.: Navy SBIR FY2008.1 Topic No.: N08-021 Topic Title: Combined Analytical and Experimental Approaches to Rotor and Dynamic Component Stress Predictions Proposal No.: N081-021-1052 Firm: Techno-Sciences, Inc. 11750 Beltsville Drive 3rd Floor Beltsville, Maryland 20705 Contact: Gang Wang Phone: (279) 790-0591 Web Site: www.technosci.com Abstract: The accurate prediction of rotor and dynamic component stresses remains an elusive goal. Despite major advancements in computational fluid dynamics techniques, prediction of the unsteady aerodynamic loads acting on the blades continues to be a formidable computational task, and the accuracy of these predictions remains problematic. Techno-Sciences, Inc. (TSi), in collaboration with the Alfred Gessow Rotorcraft Center at the University of Maryland (UMD), proposes to develop an Advanced Rotorcraft Load Prediction (ARLP) tool for rotor and dynamic components that features the combined analytical and experimental approaches. This ARLAS system will exploit the CFD/CSD coupled rotorcraft analytical framework with the experimental measurements (stress, acceleration, loads, etc.) to constantly improve the analytical predictions via an integrated optimization scheme. UMD has enhanced the features of University of Maryland Advanced Rotorcraft Code (UMARC) with CFD/CSD coupled model. Benefits: 1. Development of an innovative combined analytical and experimental rotor load prediction system. 2. CFD/CSD coupled methodology substantially improves the rotor airloads predictions and benefit the overall hub forces and structural response predictions. 3. The inclusion of multibody and swashplate dynamics in our rotorcraft analytical code enables the load/stress/strain/deformation predictions in the rotor and dynamic components. 4. The ARLP system will yield improved loads predictions of rotor and dynamic components to benefit the SHUM for naval rotorcraft vehicles. Return