18 research outputs found

    Airfoil design utilizing parallel processors. II-Applications

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    Presented as Paper 95-0126 at the 33rd Aerospace Sciences Meeting and Exhibit January 9-12,1995 / Reno, NVThe article of record as published may be found at https://doi.org/10.2514/6.1995-126One test case and two airfoil design applications were performed utilizing a parallel optimization scheme coupled to different fiow solvers. Parallel processors use computational fluid dynamics to evaluate the aerodynamic performance of multiple geometries simultaneously. The test case designed an airfoil to match the pressure distribution corresponding to an airfoil of a known shape. A transonic design application varied an airfoil's shape to maximize its lift-to-drag ratio

    Designing clinical trials for assessing the effects of cognitive training and physical activity interventions on cognitive outcomes: The Seniors Health and Activity Research Program Pilot (SHARP-P) Study, a randomized controlled trial

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    <p>Abstract</p> <p>Background</p> <p>The efficacy of non-pharmacological intervention approaches such as physical activity, strength, and cognitive training for improving brain health has not been established. Before definitive trials are mounted, important design questions on participation/adherence, training and interventions effects must be answered to more fully inform a full-scale trial.</p> <p>Methods</p> <p>SHARP-P was a single-blinded randomized controlled pilot trial of a 4-month physical activity training intervention (PA) and/or cognitive training intervention (CT) in a 2 × 2 factorial design with a health education control condition in 73 community-dwelling persons, aged 70-85 years, who were at risk for cognitive decline but did not have mild cognitive impairment.</p> <p>Results</p> <p>Intervention attendance rates were higher in the CT and PACT groups: CT: 96%, PA: 76%, PACT: 90% (p=0.004), the interventions produced marked changes in cognitive and physical performance measures (p≤0.05), and retention rates exceeded 90%. There were no statistically significant differences in 4-month changes in composite scores of cognitive, executive, and episodic memory function among arms. Four-month improvements in the composite measure increased with age among participants assigned to physical activity training but decreased with age for other participants (intervention*age interaction p = 0.01). Depending on the choice of outcome, two-armed full-scale trials may require fewer than 1,000 participants (continuous outcome) or 2,000 participants (categorical outcome).</p> <p>Conclusions</p> <p>Good levels of participation, adherence, and retention appear to be achievable for participants through age 85 years. Care should be taken to ensure that an attention control condition does not attenuate intervention effects. Depending on the choice of outcome measures, the necessary sample sizes to conduct four-year trials appear to be feasible.</p> <p>Trial Registration</p> <p>Clinicaltrials.gov Identifier: <a href="http://www.clinicaltrials.gov/ct2/show/NCT00688155">NCT00688155</a></p

    Airfoil design utilizing parallel processors

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    The article of record as published may be found at https://doi.org/10.2514/3.46994An aerodynamic design scheme using parallel processors has been developed that significantly decreases the processing time required to optimize a desired performance. The parallel optimization scheme, when coupled with a flow solver, evaluates the aerodynamic performance of numerous geometries simultaneously.A test case was conducted utilizing the parallel optimization scheme and a similar sequential optimization scheme to design an airfoil to match the pressure distribution corresponding to a known shape. This design application demonstrates the practicality and versatility of aerodynamic design via optimization using parallel processors

    Aerodynamic design using parallel processors

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    An airfoil design technique has been developed which decreases the computational processing time by more than an order of magnitude when optimizing aerodynamic performance. The practicality of airfoil design using parallel processors and Navier-Stokes flow solvers has been demonstrated. Typically, an airfoil is designed to meet certain criteria based upon its aerodynamic performance at set flight conditions. If an optimization technique is used for airfoil design, the shape of the airfoil is varied, and the aerodynamic performance of numerous airfoil geometries are evaluated using computational fluid dynamics. Multiple aerodynamic performance evaluations require the vast majority of computational processing time used in airfoil design optimization.http://archive.org/details/aerodynamicdesig1094539914Lieutenant, United States Navy.Approved for public release; distribution is unlimited

    Airfoil design utilizing parallel processors

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