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    Transient Surrogate Modeling for Thermal Management Systems 

    Van Zwieten, Andrew; Cinar, Gokcin; Garcia, Elena; Gladin, Jonathan; Mavris, Dimitri N. (Georgia Institute of Technology, 2020-01)
    In typical multidisciplinary design optimization problems, with varying missions, aerodynamic data, engine data, Thermal Management Systems (TMS), and other parameters it can take upwards of millions of runs to cover the ...
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    Application of Variational Asymptotic Method for Structural Analysis of Fan Rotor Blades in Boundary Layer Ingesting Flow Field 

    Gupta, Mohit; Pokhrel, Manish; Hodges, Dewey H.; Mavris, Dimitri N. (Georgia Institute of Technology, 2020-01)
    Boundary Layer Ingestion (BLI) appears to be a promising technology for reducing aircraft fuel burn. Despite potential benefits, there are several challenges associated with BLI. A primary concern is the structural ...
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    Deep Gaussian Process Enabled Surrogate Models for Aerodynamic Flows 

    Rajaram, Dushhyanth; Puranik, Tejas G.; Renganathan, Sudharshan Ashwin; Sung, WoongJe; Pinon Fischer, Olivia J.; Mavris, Dimitri N. (Georgia Institute of Technology, 2020-01)
    Deep Gaussian process (DGP) models are multi-layered hierarchical generalizations of the well-known Gaussian process (GP) models widely used to construct surrogate models of aerodynamic quantities of interest. Combining ...
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    Aircraft Performance Model Calibration and Validation for General Aviation Safety Analysis 

    Puranik, Tejas G.; Harrison, Evan D.; Chakraborty, Imon; Mavris, Dimitri N. (2020-03)
    Performance models facilitate a wide range of safety analyses in aviation. In an ideal scenario, the performance models would show inherently good agreement with the true performance of the aircraft. However, in reality, ...
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    Facilitating the Transition to Model-Based Acquisition 

    Ballard, Marlin; Baker, Adam; Peak, Russell; Cimtalay, Selcuk; Blackburn, Mark; Mavris, Dimitri N. (Georgia Institute of Technology, 2020-03)
    One major benefit offered by MBSE is the ability to formalize interactions between subsystems in the design process. This formalization eases the transfer of information between parties. The process of government acquisition ...
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    Bidirectional Text-to-Model Element Requirement Transformation 

    Ballard, Marlin; Peak, Russell; Cimtalay, Selcuk; Mavris, Dimitri N. (Georgia Institute of Technology, 2020)
    Elicitation, representation, and analysis of requirements are important tasks performed early in the systems engineering process. This remains true with the adoption of Model-Based Systems Engineering (MBSE) methodologies. ...
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    A Method for Simultaneous Optimization of Power Management Schedule and Flight Trajectory for Hybrid Electric Aircrafts 

    Lee, HyunKi (Georgia Institute of Technology, 2020-05)
    The aviation industry relies on a diverse set of objectives to operate at optimal efficiency and profitability. Two of these objectives include reducing emissions and generating optimal flight trajectories. There is ...
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    Classification, Analysis, and Prediction of the Daily Operations of Airports Using Machine Learning 

    Mangortey, Eugene; Puranik, Tejas G.; Pinon, Olivia J.; Mavris, Dimitri N. (Georgia Institute of Technology, 2020-01)
    The Federal Aviation Administration (FAA) is the regulatory body in the United States responsible for the advancement, safety, and regulation of civil aviation. The FAA also oversees the development of the air traffic ...
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    A framework for developing executable architecture for aerial intelligence surveillance and reconnaissance systems-of systems: A systems dynamics approach 

    Chetcuti, Steven C. (Georgia Institute of Technology, 2020-07-27)
    A framework for the development of holistic executable architecture for complex systems-of-systems as a method to analyze means and ways trades across the DOTmLP-P (Doctrine, Organization, Training, materiel, Leadership, ...
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    A systems of systems methodology for conceptual studies of in-situ resource utilization for near earth object applications 

    Kitson, Christopher Curtice (Georgia Institute of Technology, 2020-07-28)
    Near Earth Objects (NEO) have historically been neglected as an object of study relative to other celestial bodies. Interest has been increasing as more recognize the potential value of NEO resources represented by ‘asteroid ...
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    AuthorMavris, Dimitri N. (52)Ho, Koki (16)Payan, Alexia P. (9)Chen, Hao (8)Puranik, Tejas G. (6)Sarton Du Jonchay, Tristan (6)Cinar, Gokcin (5)Harrison, Evan D. (5)Justin, Cedric (5)Sarojini, Darshan (5)... View MoreSubjectHelicopter (7)Machine learning (7)Aircraft design (6)Aerodynamics (5)CFD (5)Computational Fluid Dynamics (5)Deep learning (5)Optimization (5)Rotorcraft (5)Hybrid (4)... View MoreDate Issued2020 (72)2021 (68)2022 (21)Has File(s)Yes (161)
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