Accession Number : ADA501323


Title :   Reduced Order Modeling Methods for Turbomachinery Design


Descriptive Note : Interim rept. 7 Mar 2006-30 Mar 2009


Corporate Author : AIR FORCE RESEARCH LAB WRIGHT-PATTERSON AFB OH PROPULSION DIRECTORATE


Personal Author(s) : Brown, Jeffrey M


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a501323.pdf


Report Date : Mar 2009


Pagination or Media Count : 259


Abstract : Design of structural components is constrained by both iteration time and prediction uncertainty. Iteration time refers to the computation time each simulation requires and controls how much design space can be explored given a fixed period. A comprehensive search of the space leads to more optimum designs. Prediction uncertainty refers to both irreducible uncertainties, such as those caused by material scatter, and reducible uncertainty, such as physics-based model error. In the presence of uncertainty, conservative safety factors and design margins are used to ensure reliability, but these negatively impact component weight and design life. This research investigates three areas to improve both iteration time and prediction uncertainty for turbomachinery design. The first develops an error-quantified reduced-order model that predicts the effect of geometric deviations on airfoil forced response. The second research area develops a Probabilistic Gradient Kriging approach to efficiently model the uncertainty in predicted failure probability caused by small sample statistics. The third area develops CMS modeling methods.


Descriptors :   *COMPUTATIONS , *STRUCTURAL COMPONENTS , *PREDICTIONS , *TURBOMACHINERY , THESES , AIRFOILS , RELIABILITY , SEARCHING , WEIGHT , SAFETY , FATIGUE(MECHANICS) , ITERATIONS , GRADIENTS , PROBABILITY , IMPACT , SCATTERING , SIMULATION , UNCERTAINTY


Subject Categories : Numerical Mathematics
      Hydraulic and Pneumatic Equipment
      Structural Engineering and Building Technology


Distribution Statement : APPROVED FOR PUBLIC RELEASE