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Topology Synthesis of Structures Using Parameter Relaxation and Geometric Refinement
Contributor(s): Administration (Nasa), National Aeronaut (Author)
ISBN:     ISBN-13: 9798672469379
Publisher: Independently Published
OUR PRICE:   $31.49  
Product Type: Paperback
Published: August 2020
* Not available - Not in print at this time *
Additional Information
BISAC Categories:
- Science | Space Science
Physical Information: 0.07" H x 8.5" W x 11.02" (0.22 lbs) 32 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
Typically, structural topology optimization problems undergo relaxation of certain design parameters to allow the existence of intermediate variable optimum topologies. Relaxation permits the use of a variety of gradient-based search techniques and has been shown to guarantee the existence of optimal solutions and eliminate mesh dependencies. This Technical Publication (TP) will demonstrate the application of relaxation to a control point discretization of the design workspace for the structural topology optimization process. The control point parameterization with subdivision has been offered as an alternative to the traditional method of discretized finite element design domain. The principle of relaxation demonstrates the increased utility of the control point parameterization. One of the significant results of the relaxation process offered in this TP is that direct manufacturability of the optimized design will be maintained without the need for designer intervention or translation. In addition, it will be shown that relaxation of certain parameters may extend the range of problems that can be addressed; e.g., in permitting limited out-of-plane motion to be included in a path generation problem. Hull, P. V. and Tinker, M. L. Marshall Space Flight Center NASA/TP-2007-214962, M-1191 NRA8-31 PARAMETERIZATION; TOPOLOGY; RELAXATION (MECHANICS); MATHEMATICAL MODELS; DESIGN OPTIMIZATION; STRUCTURAL ENGINEERING; GRID REFINEMENT (MATHEMATICS); FINITE ELEMENT METHOD; COMPUTER AIDED DESIGN; MODULUS OF ELASTICITY; THICKNESS; STRAIN ENERGY METHODS; GENETIC ALGORITHMS