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Daniel Guggenheim School of Aerospace Engineering
Daniel Guggenheim School of Aerospace Engineering
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ItemHyperion: An SSTO Vision Vehicle Concept Utilizing Rocket-Based Combined Cycle Propulsion(Georgia Institute of Technology, 1999-11) Olds, John R. ; Bradford, John Edward ; Charania, Ashraf ; Ledsinger, Laura Anne ; McCormick, David Jeremy ; Sorensen, KirkThis paper reports the findings of a conceptual launch vehicle design study performed by members of the Space Systems Design Laboratory at Georgia Tech. Hyperion is a conceptual design for an advanced reusable launch vehicle in the Vision Vehicle class. It is a horizontal takeoff, horizontal landing SSTO vehicle utilizing LOX/LH2 ejector scramjet rocket-based combined cycle (RBCC) propulsion. Hyperion is designed to deliver 20,000 lb. to LEO from the Kennedy Space Center. Gross weight is estimated to be 800,700 lb. and dry weight is estimated to be 123,250 lb. for this mission. Preliminary analysis suggests that, with sufficient launch traffic, Hyperion recurring launch costs will be under 200 dollars per lb. of payload delivered to LEO. However, nonrecurring costs, including development cost and acquisition of three airframes, is expected to be nearly 10.7B dollars. The internal rate of return is only expected to be 8.24 percent. Details of the concept design including external and internal configuration, mass properties, engine performance, trajectory analysis, aeroheating results, and concept cost assessment are given. Highlights of the distributed, collaborative design approach and a summary of trade study results are also provided.
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ItemStargazer: A TSTO Bantam-X Vehicle Concept Utilizing Rocket-Based Combined Cycle Propulsion(Georgia Institute of Technology, 1999-11) Olds, John R. ; Ledsinger, Laura Anne ; Bradford, John Edward ; Charania, Ashraf ; McCormick, David Jeremy ; Komar, D. R.This paper presents a new conceptual launch vehicle design in the Bantam-X payload class. The new design is called Stargazer. Stargazer is a two-stage-to-orbit (TSTO) vehicle with a reusable flyback booster and an expendable LOX/RP upper stage. Its payload is 300 lbs. to low earth orbit. The Hankey wedge- shaped booster is powered by four LOX/LH2 ejector scramjet rocket-based combined-cycle engines. Advanced technologies are also used in the booster structures, thermal protection system, and other subsystems. Details of the concept design are given including external and internal configuration, mass properties, engine performance, trajectory analysis, aeroheating results, and a concept cost assessment. The final design was determined to have a gross mass of 115,450 lb. with a booster length of 99 ft. Recurring price per flight was estimated to be $3.49M. The overall conceptual design process and the individual tools and processes used for each discipline are outlined. A summary of trade study results is also given.
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ItemMultidisciplinary Design Optimization Techniques for Branching Trajectories(Georgia Institute of Technology, 1998-09) Ledsinger, Laura Anne ; Olds, John R.Fully reusable two-stage-to-orbit vehicle designs that incorporate ‘branching’ trajectories during their ascent are of current interest in the advanced launch vehicle design community. Unlike expendable vehicle designs, the booster of a reusable system must fly to a designated landing site after staging. Therefore, both the booster return branch and the orbital upper stage branch along with the lower ascent trajectory are of interest after the staging point and must be simultaneously optimized in order to achieve an overall system objective. Current and notable designs in this class include the U. S. Air Force Space Operations Vehicle designs with their ‘pop-up’ trajectories, the Kelly Astroliner, the Kistler K-1, one of the preliminary designs for NASA’s Bantam-X study, and NASA’s proposed liquid flyback booster designs (Space Shuttle solid booster upgrade). The solution to this problem using an industrystandard trajectory optimization code (POST) typically requires at least two separate computer jobs — one for the orbital branch from the ground to orbit and one for the booster branch from the staging point to the landing site. In some cases, three computer jobs may be desired: one from launch to staging, one for the upper stage, and one for the booster flyback. However, these jobs are tightly coupled and their data requirements are interdependent. This paper expounds upon the research necessary to improve the accuracy, computational efficiency, and data consistency with which the branching trajectory problem can be solved. In particular, the proposed methods originate from the field of Multidisciplinary Design Optimization (MDO).
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ItemMultidisciplinary Optimization Techniques for Branching Trajectories(Georgia Institute of Technology, 1998-01) Olds, John R. ; Ledsinger, Laura AnneFully reusable two-stage-to-orbit vehicle designs that incorporate ‘branching’ trajectories during their ascent are of current interest in the advanced launch vehicle design community. Unlike expendable vehicle designs, the booster of a reusable system must fly to a designated landing site after staging. Therefore, both the booster return branch and the orbital upper stage branch along with the lower ascent trajectory are of interest after the staging point and must be simultaneously optimized in order to achieve an overall system objective. Current and notable designs in this class include the U. S. Air Force Space Operations Vehicle designs with their ‘pop-up’ Trajectories and NASA’s proposed liquid flyback booster designs (Space Shuttle solid booster upgrade). The solution to this problem using an industry standard trajectory optimization code (POST) typically requires at least two separate computer jobs — one for the orbital branch from the ground to orbit and one for the booster branch from the staging point to the landing site. However, these two jobs are tightly coupled and their data requirements are interdependent. This paper expounds upon the research necessary to improve the accuracy, computational efficiency, and data consistency with which this twin job problem can be solved. In particular, the proposed methods originate from the field of Multidisciplinary Design Optimization (MDO). The planned research program is outlined, and preliminary results are reported