CREATE-AV DaVinci: Computationally-Based Engineering for Conceptual Design

Historically, decisions made during early phases of systems design and acquisition determine the majority of the life-cycle costs for those systems. Physics-based, high fidelity models that can support rapid analysis (minutes to hours) and rapid design (hours to days) would improve the quality of early acquisition decisions. The DaVinci software product is being developed in direct response to these needs. DaVinci is designed around a unified lifecycle engineering model encompassing multi-fidelity analysis for a wide range of applications. At its core, DaVinci provides next generation modeling capability for functional analysis, alternative design evaluation, trade-space exploration, and acquisition planning. The DaVinci infrastructure and architecture will enable a collaborative environment for all aspects of early acquisition processes and provide a much more effective mechanism for transferring detailed models and product descriptions between phases of acquisition throughout the life of the program. DaVinci will couple a rich graphical user interface with pre-engineered system components and large scale computing to allow systems engineers and acquisition stakeholders the use of computationally based engineering to enable rapid system engineering development iterations for requirements traceability, physics-based systems representations, and the creation of high-fidelity models suitable for early preliminary design.

[1]  M. Tribus Rational descriptions, decisions, and designs , 1969 .

[2]  Egbert Torenbeek,et al.  Synthesis of subsonic airplane design: an introduction to the preliminary design, of subsonic general aviation and transport aircraft, with emphasis on layout, aerodynamic design, propulsion and performance , 1976 .

[3]  Daniel P. Raymer,et al.  Aircraft Design: A Conceptual Approach , 1989 .

[4]  James R. French,et al.  Space vehicle design , 1991 .

[5]  James R. Rice,et al.  From Scientific Software Libraries to Problem Solving Environments John R. Rice , 1996 .

[6]  Hirokazu Miura,et al.  Analytical Fuselage and Wing Weight Estimation of Transport Aircraft , 1996 .

[7]  John David Anderson,et al.  Aircraft performance and design , 1998 .

[8]  Robert Liebeck,et al.  BLENDED-WING-BODY SUBSONIC COMMERCIAL TRANSPORT , 1998 .

[9]  R. H. Liebeck,et al.  Design of the Blended Wing Body Subsonic Transport , 2002 .

[10]  Timothy G. Trucano,et al.  Verification and Validation in Computational Fluid Dynamics , 2002 .

[11]  Wright Patterson,et al.  TOWARDS AN INTEGRATED MODELING ENVIRONMENT FOR HYPERSONIC VEHICLE DESIGN AND SYNTHESIS , 2002 .

[12]  Clifford A. Shaffer,et al.  Integrated Computing Environments for Watershed Management , 2002 .

[13]  Donovan Mathias,et al.  Multi-Disciplinary Analysis for Future Launch Systems Using NASA's Advanced Engineering Environment (AEE) , 2003 .

[14]  D. Post,et al.  Computational Science Demands a New Paradigm , 2005 .

[15]  Wright-Patterson Afb,et al.  The Application of the MISTC Framework to Structural Design Optimization , 2005 .

[16]  Maxwell Blair,et al.  AVEC: A Computational Design Framework for Conceptual Innovations , 2006 .

[17]  Wu Li,et al.  Principal Component Regression for Fitting Wing Weight Data of Subsonic Transports , 2006 .

[18]  Brian H. Mason,et al.  Adaptive Modeling, Engineering Analysis and Design of Advanced Aerospace Vehicles , 2006 .

[19]  Gregory L. Roth Decision making in systems engineering: The foundation , 2007, 2007 International Symposium on Collaborative Technologies and Systems.

[20]  Zhijie Lu,et al.  Data Management in an Object-Oriented Distributed Aircraft Conceptual Design Environment , 2007 .

[21]  Vivek Mukhopadhyay,et al.  A Conceptual Aerospace Vehicle Structural System Modeling, Analysis and Design Process , 2007 .

[22]  Thomas A. Grandine,et al.  Advancements in Multidisciplinary Design Optimization Applied to Hypersonic Vehicles to Achieve Closure , 2008 .

[23]  Jeffrey S. Robinson An Overview of NASA's Integrated Design and Engineering Analysis (IDEA) Environment , 2011 .

[24]  Timothy G. Trucano,et al.  Verification and validation. , 2005 .