TY - GEN
T1 - Toward the realization of a highly integrated, multidisciplinary, multifidelity design environment
AU - Bryson, Dean E.
AU - Haimes, Robert
AU - Dannenhoffer, John F.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - Conceptual Design is generally performed using historical data and low-order numerical models due to their computational expedience and low threshold of input information. However, performance predictions provided by these tools sometimes fail to capture critical effects due to a lack of interdisciplinary coupling, insufficient fidelity within a single fidelity, or the omission of a discipline altogether. In the best case, this inadequacy leads to missed design opportunities, but also may result in costly, late-stage design corrections or the production of a vehicle with limited capability in the worst case. While recent efforts have made progress toward bringing higher-order, physics-based predictions forward in the design process, use of these tools has been hindered by the modeling tools typically employed. The Computational Aircraft Prototype Syntheses research program attempts to provide a modeling infrastructure that enables agile, physics-based design by analysis, decoupling the availability of certain analysis tools from the stage of design. This manuscript describes a shift in thinking about vehicle modeling and geometry definition and its integration with meshing and analysis, and provides examples of applications in the literature. Ultimately, multiple, consistent, analysis-specific geometries should be outputs of a unifying design model, and should play an active role throughout the entire analysis process.
AB - Conceptual Design is generally performed using historical data and low-order numerical models due to their computational expedience and low threshold of input information. However, performance predictions provided by these tools sometimes fail to capture critical effects due to a lack of interdisciplinary coupling, insufficient fidelity within a single fidelity, or the omission of a discipline altogether. In the best case, this inadequacy leads to missed design opportunities, but also may result in costly, late-stage design corrections or the production of a vehicle with limited capability in the worst case. While recent efforts have made progress toward bringing higher-order, physics-based predictions forward in the design process, use of these tools has been hindered by the modeling tools typically employed. The Computational Aircraft Prototype Syntheses research program attempts to provide a modeling infrastructure that enables agile, physics-based design by analysis, decoupling the availability of certain analysis tools from the stage of design. This manuscript describes a shift in thinking about vehicle modeling and geometry definition and its integration with meshing and analysis, and provides examples of applications in the literature. Ultimately, multiple, consistent, analysis-specific geometries should be outputs of a unifying design model, and should play an active role throughout the entire analysis process.
UR - http://www.scopus.com/inward/record.url?scp=85068935100&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85068935100&partnerID=8YFLogxK
U2 - 10.2514/6.2019-2225
DO - 10.2514/6.2019-2225
M3 - Conference contribution
SN - 9781624105784
T3 - AIAA Scitech 2019 Forum
BT - AIAA Scitech 2019 Forum
PB - American Institute of Aeronautics and Astronautics Inc, AIAA
T2 - AIAA Scitech Forum, 2019
Y2 - 7 January 2019 through 11 January 2019
ER -