Now showing items 1-20 of 288

    • Abstraction and Modeling Hypothesis for Future Transportation Architectures 

      DeLaurentis, Daniel A.; Lewe, Jung-Ho; Schrage, Daniel P. (Georgia Institute of Technology, 2003-07)
      The goal of a future transportation architecture is an expansion in mobility, enabling new types of travel and commerce currently not affordable and thus producing induced societal benefit. From the design perspective, the ...
    • Adaptive Selection of Aircraft Engine Technologies in the Presence of Risk 

      Roth, Bryce Alexander; Graham, Matthew; Mavris, Dimitri N.; Macsotai, Noel I. (Georgia Institute of Technology, 2002-06)
      The objective of this paper is to describe a method for selecting optimal engine technology solution sets while simultaneously accounting for the presence of technology risk. This method uses a genetic algorithm in conjunction ...
    • Adaptive Selection of Engine Technology Solution Sets from a Large Combinatorial Space 

      Roth, Bryce Alexander; German, Brian Joseph; Mavris, Dimitri N.; Macsotai, Noel I. (Georgia Institute of Technology, 2001)
      This paper describes a method to assist in selecting technology concepts from amongst a pool of candidates such that the resulting concepts yield the best compromise between conflicting sign performance and technology risk. ...
    • Adaptive Selection of Pareto Optimal Engine Technology Solution Sets 

      Roth, Bryce Alexander; Graham, Matthew; Mavris, Dimitri N.; Macsotai, Noel I. (Georgia Institute of Technology, 2002)
      Successful selection of propulsion system technologies for development and incorporation into new engine designs requires careful balance among many competing design objectives (i.e. performance, cost, risk, etc.). One ...
    • Advanced Design of Complex Systems Using the Collaborative Visualization Environment (CoVE) 

      Mavris, Dimitri N.; Biltgen, Patrick Thomas; Weston, Neil R. (Georgia Institute of Technology, 2005-01)
      This paper summarizes and introduces the Collaborative Visualization Environment (CoVE) at the Aerospace Systems Design Laboratory (ASDL)at Georgia Tech. The CoVE is an advanced visualization facility consisting of an 18 ...
    • Aerodynamic Drag Loss Chargeability and Its Implications in the Vehicle Design Process 

      Roth, Bryce Alexander (Georgia Institute of Technology, 2001-10)
      The purpose of this paper is to explore the nature of aerodynamic drag losses, relate them to aerothermodynamic losses in the aircraft as a whole, and develop methods for assessing drag chargeability. The concept of the ...
    • Aeroelastic Analysis of a Composite Wingbox with Varying Root Flexibility 

      De Baets, Peter Wilfried Gaston; Battoo, Rupinder S.; Mavris, Dimitri N. (Georgia Institute of Technology, 2000-04)
      The research looked into the aeroelastic properties and modal response of a composite rectangular wingbox. This research attempted to assess the sensitivity of the flutter speed, divergence speed and modal response when ...
    • Aeroelastic Tailoring of a Civil Tiltrotor Configuration 

      Stettner, Martin; Mavris, Dimitri N.; Schrage, Daniel P. (Georgia Institute of Technology, 1995-01)
      Progress in establishing an analysis package and design/optimization framework for preliminary design of a civil tiltrotor aircraft is reported. Updates to the sizing/performance program VASCOMP and Equivalent LAminated ...
    • Affordability Assessment for a Subsonic Transport 

      Mavris, Dimitri N.; Garcia, Elena (Georgia Institute of Technology, 1999-06)
      Military budget cuts and increased competition in the commercial market have shifted the focus of aircraft design to include affordability concerns. This has resulted in the need for increased knowledge in the early stages ...
    • Aircraft Flight Plan Optimization with Dynamic Weather and Airspace Constraints 

      Ramee, Coline; Junghyun, Kim; Deguignet, Marie; Justin, Cedric; Briceno, Simon; Mavris, Dimitri N. (Georgia Institute of Technology, 2020)
      Flight planning is the process of producing a flight plan which describes a proposed aircraft trajectory. This task is typically performed ahead of departure with the intent of minimizing operating costs, while accounting ...
    • Aircraft Mission Analysis Enhancement by Using Data Science and Machine Learning Techniques 

      Kim, Junghyun; Kim, Seulki; Song, Kisun; Li, Yongchang; Mavris, Dimitri N. (Georgia Institute of Technology, 2019)
      As air-traffic demand continues to grow, it is expected that there will be a growing need for optimizing fuel consumption to airlines. To that end, it is prerequisite to estimate fuel consumption as accurate as possible. ...
    • 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, ...
    • Analysis of Advanced Technology Impact on HSCT Engine Cycle Performance 

      Roth, Bryce Alexander; Mavris, Dimitri N. (Georgia Institute of Technology, 1999-06)
      The objective of this paper is to describe and apply methods that could assist the propulsion system designer in the evaluation and selection of propulsion technologies. The focus here is on the aerothermo-dynamic aspects ...
    • Analyzing Technology Interactions 

      Patel, Chirag B.; Mavris, Dimitri N. (Georgia Institute of Technology, 2006-09)
      Technology selection is a crucial step in the design of new complex systems. When many technologies are to be selected from a large pool of available technologies, it is very important that the interactions among these ...
    • Anomaly Detection in General Aviation Operations Using Energy Metrics and Flight Data Records 

      Puranik, Tejas G.; Mavris, Dimitri N. (Georgia Institute of Technology, 2017)
      Among operations in the General Aviation community, one of the most important objectives is to improve safety across all flight regimes. Flight data monitoring or Flight Operations Quality Assurance programs have percolated ...
    • Application of a State-Space Wake Model to Tiltrotor Wing Unsteady Aerodynamics 

      Stettner, Martin; Schrage, Daniel P.; Peters, D. A. (David A.) (Georgia Institute of Technology, 1994-02)
      The Peters/He Finite State Wake Model is described in its application to fixed wing aerolasticity. Expressions for coupling this model with a wing, aerodynamically represented by a flat plate with a trailing edge flap, are ...
    • An Application of a Technology Impact Forecasting (TIF) Method to an Uninhabited Combat Aerial Vehicle 

      Mavris, Dimitri N.; Soban, Danielle Suzanne; Largent, Matthew Clinton (Georgia Institute of Technology, 1999-10)
      In today's atmosphere of lower U.S. defense spending and reduced research budgets, determining how to allocate resources for research and design has become a critical and challenging task. In the area of aircraft design ...
    • An Application of Artificial Intelligence for Computer-Aided Design and Manufacturing 

      Marx, William J.; Schrage, Daniel P.; Mavris, Dimitri N. (Georgia Institute of Technology, 1995-07)
      The knowledge required to integrate aircraft manufacturing characteristics and constraints into the structural design process is beyond the proficiency of a single engineer. Concurrent Engineering (CE) enables the integration ...
    • Application Of Data Fusion And Machine Learning To The Analysis Of The Relevance Of Recommended Flight Reroutes 

      Dard, Ghislain; Mangortey, Eugene; Pinon, Olivia J. (Georgia Institute of Technology, 2019-06)
      One of the missions of the Federal Aviation Administration (FAA) is to maintain the safety and efficiency of the National Airspace System (NAS). One way to do so is through Traffic Management Initiatives (TMIs). Traffic ...
    • Application of Machine Learning Techniques to Parameter Selection for Flight Risk Identification 

      Mangortey, Eugene; Monteiro, Dylan J.; Ackley, Jamey; Gao, Zhenyu; Puranik, Tejas G.; Kirby, Michelle; Pinon, Olivia J.; Mavris, Dimitri N. (Georgia Institute of Technology, 2020-01)
      In recent years, the use of data mining and machine learning techniques for safety analysis, incident and accident investigation, and fault detection has gained traction among the aviation community. Flight data collected ...