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Scientific and Technical Aerospace Reports Volume 38 July 28, 2000

Scientific and Technical Aerospace Reports Volume 38 July 28, 2000

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<strong>2000</strong>0064593 NASA Langley Research Center, Hampton, VA USA<br />

Session on High Speed Civil Transport Design Capability Using MDO <strong>and</strong> High Performance Computing<br />

Rehder, Joe, NASA Langley Research Center, USA; February <strong>2000</strong>; In English; See also <strong>2000</strong>0064579; No Copyright; Abstract<br />

Only; Available from CASI only as part of the entire parent document<br />

Since the inception of CAS in 1992, NASA Langley has been conducting research into applying multidisciplinary optimization<br />

(MDO) <strong>and</strong> high performance computing toward reducing aircraft design cycle time. The focus of this research has been the<br />

development of a series of computational frameworks <strong>and</strong> associated applications that increased in capability, complexity, <strong>and</strong><br />

performance over time. The culmination of this effort is an automated high-fidelity analysis capability for a high speed civil transport<br />

(HSCT) vehicle installed on a network of heterogeneous computers with a computational framework built using Common<br />

Object Request Broker Architecture (CORBA) <strong>and</strong> Java. The main focus of the research in the early years was the development<br />

of the Framework for Interdisciplinary Design Optimization (FIDO) <strong>and</strong> associated HSCT applications. While the FIDO effort<br />

was eventually halted, work continued on HSCT applications of ever increasing complexity. The current application, HSCT4.0,<br />

employs high fidelity CFD <strong>and</strong> FEM analysis codes. For each analysis cycle, the vehicle geometry <strong>and</strong> computational grids are<br />

updated using new values for design variables. Processes for aeroelastic trim, loads convergence, displacement transfer, stress<br />

<strong>and</strong> buckling, <strong>and</strong> performance have been developed. In all, a total of 70 processes are integrated in the analysis framework. Many<br />

of the key processes include automatic differentiation capabilities to provide sensitivity information that can be used in optimization.<br />

A software engineering process was developed to manage this large project. Defining the interactions among 70 processes<br />

turned out to be an enormous, but essential, task. A formal requirements document was prepared that defined data flow among<br />

processes <strong>and</strong> subprocesses. A design document was then developed that translated the requirements into actual software design.<br />

A validation program was defined <strong>and</strong> implemented to ensure that codes integrated into the framework produced the same results<br />

as their st<strong>and</strong>alone counterparts. Finally, a Commercial Off the Shelf (COTS) configuration management system was used to organize<br />

the software development. A computational environment, CJOPT, based on the Common Object Request Broker Architecture,<br />

CORBA, <strong>and</strong> the Java programming language has been developed as a framework for multidisciplinary analysis <strong>and</strong><br />

Optimization. The environment exploits the parallelisms inherent in the application <strong>and</strong> distributes the constituent disciplines on<br />

machines best suited to their needs. In CJOpt, a discipline code is ”wrapped” as an object. An interface to the object identifies<br />

the functionality (services) provided by the discipline, defined in Interface Definition Language (IDL) <strong>and</strong> implemented using<br />

Java. The results of using the HSCT4.0 capability are described. A summary of lessons learned is also presented. The use of some<br />

of the processes, codes, <strong>and</strong> techniques by industry are highlighted. The application of the methodology developed in this research<br />

to other aircraft are described. Finally, we show how the experience gained is being applied to entirely new vehicles, such as the<br />

Reusable Space Transportation System. Additional information is contained in the original.<br />

Author<br />

Aircraft Design; Computational Fluid Dynamics; Computer Networks; Design Analysis; Finite Element Method; Software Engineering;<br />

Multidisciplinary Design Optimization; Computer Aided Design; Systems Engineering<br />

<strong>2000</strong>0064900 Cranfield Univ., Flight Test <strong>and</strong> Dynamics Group, Cranfield, UK<br />

An Analysis of the Flight Dynamics of a Second Generation SST Aircraft Interim Report<br />

Steer, A. J., Cranfield Univ., UK; October 1999; 86p; In English<br />

Report No.(s): COA-9914; ISBN 1-86194-046-7; Copyright; Avail: Issuing Activity<br />

The principal aerodynamic properties that distinguish the low speed stability, control <strong>and</strong> h<strong>and</strong>ling characteristics of an SCT<br />

aircraft are: (1) The requirement for relaxed longitudinal stability in order to reduce trim drag, both at higher speeds as the aerodynamic<br />

centre moves aft <strong>and</strong> to improve performance at lower speeds through reduced control surface sizing. The relaxed stability,<br />

achieved through locating the CG at the NP, results in an unconventional dynamic response on the approach characterized by a<br />

3doscillatory mode with short period damping <strong>and</strong> phugoid like frequency combined with two real modes, one of which is unstable.<br />

(2) The low static margin when flying at low-speed coupled with the absence of a second control surface results in relatively<br />

low pitch damping, M(sub q), combined with a high pitch inertia, I(sub y). The aircraft’s unaugmented longitudinal response to<br />

a control input is thus characterized by a low pitch acceleration, hence sluggish pitch response combined with a slow time to settle.<br />

Solutions include feeding back either incidence or pitch rate to restore stability <strong>and</strong> enhance the maneuver response as well as<br />

augmenting control power by providing a second pitch control surface. (3) The delta wing’s low lift curve slope requiring large<br />

angles of attack on the approach in order to generate sufficient low-speed lift at the expense of considerable amounts of induced<br />

drag. Hence the aircraft flies considerably below the minimum drag speed, known as ’backside’ operation, resulting in speed instability<br />

<strong>and</strong> difficult flightpath control. The effects of speed instability are that at a constant engine thrust on a -3 deg. flightpath,<br />

the short term response to an aft stick movement is an increase in height relative to the flightpath. The long-term effect is an<br />

increase in drag <strong>and</strong> consequent steepening of the flightpath. Conversely, a forward stick movement initially steepens the flightpath<br />

<strong>and</strong> in the long term, the increase in speed causes the aircraft to fly above the flightpath. These effects can be overcome by<br />

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