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Evolution of Geometric Sensitivity Derivatives from Computer Aided Design ModelsThe generation of design parameter sensitivity derivatives is required for gradient-based optimization. Such sensitivity derivatives are elusive at best when working with geometry defined within the solid modeling context of Computer-Aided Design (CAD) systems. Solid modeling CAD systems are often proprietary and always complex, thereby necessitating ad hoc procedures to infer parameter sensitivity. A new perspective is presented that makes direct use of the hierarchical associativity of CAD features to trace their evolution and thereby track design parameter sensitivity. In contrast to ad hoc methods, this method provides a more concise procedure following the model design intent and determining the sensitivity of CAD geometry directly to its respective defining parameters.
Document ID
20100033391
Acquisition Source
Langley Research Center
Document Type
Conference Paper
Authors
Jones, William T.
(NASA Langley Research Center Hampton, VA, United States)
Lazzara, David
(Massachusetts Inst. of Tech. Cambridge, MA, United States)
Haimes, Robert
(Massachusetts Inst. of Tech. Cambridge, MA, United States)
Date Acquired
August 25, 2013
Publication Date
September 13, 2010
Subject Category
Mathematical And Computer Sciences (General)
Report/Patent Number
NF1676L-11280
Meeting Information
Meeting: 13th AIAA/ISSMO Multidisciplinary Analysis and Optimization (MAO)
Location: Fort Worth, TX
Country: United States
Start Date: September 13, 2010
End Date: September 15, 2010
Sponsors: American Inst. of Aeronautics and Astronautics, International Society for Structural and Multidisciplinary Optimization
Funding Number(s)
WBS: WBS 984754.02.07.07.12.04
Distribution Limits
Public
Copyright
Public Use Permitted.
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