377 research outputs found
The promise of multicyclic control
Several types of rotors which employ multicyclic control are reviewed and compared. Their differences are high-lighted and their potential advantages and disadvantages are discussed. The flow field these rotors must operate in is discussed, and it is shown that simultaneous elimination of vibration and oscillatory blade loads is not an inherent solution to the roughness problem. The use of rotor blades as energy absorbers is proposed. Input-output relations are considered and a gain control for ROMULAN, a multicyclic controlling computer program, is introduced. Implications of the introduction of multicyclic systems into helicopters are discussed
Multicyclic jet-flap control for alleviation of helicopter blade stresses and fuselage vibration
Results of wind tunnel tests of a 12 meter-diameter-rotor utilizing multicyclic jet-flap control deflection are presented. Analyses of these results are shown, and experimental transfer functions are determined by which optimal control vectors are developed. These vectors are calculated to eliminate specific harmonic bending stresses, minimize rms levels (a measure of the peak-to-peak stresses), or minimize vertical vibratory loads that would be transmitted to the fuselage. Although the specific results and the ideal control vectors presented are for a specific jet-flap driven rotor, the method employed for the analyses is applicable to similar investigations. A discussion of possible alternative methods of multicyclic control by mechanical flaps or nonpropulsive jet-flaps is presented
Best Practices for Unstructured Grid Shock Fitting
Unstructured grid solvers have well-known issues predicting surface heat fluxes when strong shocks are present. Various efforts have been made to address the underlying numerical issues that cause the erroneous predictions. The present work addresses some of the shortcomings of unstructured grid solvers, not by addressing the numerics, but by applying structured grid best practices to unstructured grids. A methodology for robust shock detection and shock fitting is outlined and applied to production relevant cases. Results achieved by using the Loci-CHEM Computational Fluid Dynamics solver are provided
Thermal Protection System Cavity Heating for Simplified and Actual Geometries Using Computational Fluid Dynamics Simulations with Unstructured Grids
Thermal Protection System (TPS) Cavity Heating is predicted using Computational Fluid Dynamics (CFD) on unstructured grids for both simplified cavities and actual cavity geometries. Validation was performed using comparisons to wind tunnel experimental results and CFD predictions using structured grids. Full-scale predictions were made for simplified and actual geometry configurations on the Space Shuttle Orbiter in a mission support timeframe
Extrusion of Complex Surface Meshes Utilizing Face Offsetting and Mean Curvature Smoothing
Grids for three-dimensional Computational Fluid Dynamics problems frequently require a prismatic layer of cells, typically extruded in the off-body direction from a two-dimensional surface mesh to properly resolve boundary layers. When the surface geometry is complex, the extrusion process can fail, resulting in the physical boundary layer being thicker than the prismatic layer, leading to under-resolved boundary layers. To address the shortcomings of existing grid generation tools, a new tool has been developed as part of the Mesh Tools suite, that is capable of extruding complex surface meshes. The new tool uses a face offsetting method to preserve surface curvature and a mean curvature smoothing algorithm to prevent the cells from self-intersecting in concave regions. Testing of the new tool found that not only were complex surface meshes able to be extruded to the desired thickness, but extrusion of simple surface meshes was also improved, due to the face offsetting method
Analysis of Fluid Flow over a Surface
A method, apparatus, and computer program product for modeling heat radiated by a structure. The flow of a fluid over a surface of a model of the structure is simulated. The surface has a plurality of surface elements. Heat radiated by the plurality of surface elements in response to the fluid flowing over the surface of the model of the structure is identified. An effect of heat radiated by at least a portion of the plurality of surface elements on each other is identified. A model of the heat radiated by the structure is created using the heat radiated by the plurality of surface elements and the effect of the heat radiated by at least a portion of the plurality of surface elements on each other
The Effect of the Third Dimension on Rough Surfaces Formed by Sedimenting Particles in Quasi-Two-Dimensions
The roughness exponent of surfaces obtained by dispersing silica spheres into
a quasi-two-dimensional cell is examined. The cell consists of two glass plates
separated by a gap, which is comparable in size to the diameter of the beads.
Previous work has shown that the quasi-one-dimensional surfaces formed have two
distinct roughness exponents in two well-defined length scales, which have a
crossover length about 1cm. We have studied the effect of changing the gap
between the plates to a limit of about twice the diameter of the beads.Comment: 4 pages, 4 figures, submitted to IJMP
Proving the Value of Honors Education:The Right Data and the Right Messaging
Administered within over 1,500 honors colleges and programs in two- and four-year institutions worldwide (National Collegiate Honors Council (NCHC) 2017; Scott and Smith 2016; Wolfensberger 2015), honors education serves the best interests of students and adds quality to the academic mission of host institutions by promoting the highest intellectual standards. Necessarily differing in form and content, all honors programs and colleges share the goals of identifying and supporting the most talented students as they achieve success in college and as they learn how to prepare not only for successful careers, but also for lifelong learning and meaningful civic engagement (Humphrey 2008). Certainly honors enthusiasts believe that these goals are met through innovative and challenging programming in areas of curriculum, undergraduate research, community engagement and service, and leadership.
These beliefs, however, need to be backed by empirical data. Do honors programs and colleges achieve their goals? Do they increase the success of their students? Do they add measurable value to their institutions? How do we know? What data are needed to prove the worth of honors education, and how should those data be communicated to the administrators responsible for funding it—provosts, chancellors, and presidents? What are the obstacles to honors programs’ and colleges’ ability to gather those data and persuade various audiences? Nationally, a growing body of evidence confirms that honors students are more successful than other students (e.g., Cosgrove 2004; Pritchard and Wilson 2003). That every specific honors college or program know—not just hope or think—that it is effective in terms of recruiting, retaining, and promoting the success of its exceptional students is essential. Achieving this knowledge requires the right data, the right analyses, and the right communication. This paper details several ways to accomplish this task as well as some of the obstacles to this effort. We approach the idea of assessment and evaluation—or more simply, documenting positive effects of programs and persuading others of those effects—with social psychological research methods and while considering the politics of today’s higher education landscape. Specifically, we discuss how to obtain, understand, and use the simplest to the most complex data to prove the ultimate value of an honors program, and how to tailor messaging about those data. Honors colleges and programs are the model for undergraduate recruitment and success. Our goal is to help readers prove it
Interference estimation with applications to blind multiple-access communication over fading channels
Includes bibliographical references.We consider the detection of nonorthogonal multipulse signals on multiple-access fading channels. The generalized maximum-likelihood rule is employed to decode users whose complex fading gains are unknown. We develop geometrical interpretations for the resulting detectors and their corresponding asymptotic efficiencies. The generalized maximum-likelihood detection rule is then applied to find a matched subspace detector for the frequency-selective fading channel, under the assumption of a short coherence time (or long coherence time without the computational power to track the fading parameters). We propose blind implementations of these detectors for nonorthogonal multipulse signaling on both frequency-nonselective and frequency-selective multiple-access fading channels. These blind detectors extend the results of Wang and Poor to multipulse modulation and fast frequency selective fading. For comparison, the minimum mean-squared error decision rules for these channels are derived and blind implementations of their corresponding detectors are developed.This work was supported by the National Science Foundation under Contract ECS 9979400 and by the Office of Naval Research under Contracts N00014-89-J-1070 and N0014-00-1-0033
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