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Topology optimization

There are two approaches for strueture optimization de-sign> parametric optimization and topology optimization. The parametric optimization aims at attaining the best set of geometric or structural parameters defining the configura-... [Pg.111]

H. H. Hoang. Topological optimization of networks A nonlinear mixed integer model employing generalized Benders decomposition. IEEE Trans. Automatic Control, AC-27 164, 1982. [Pg.443]

B. Hassani, E. Hinton A review of homogenization and topology optimization Ill-topology optimization using optimality criteria. Comp. Struct. 69, 739-756 (1998)... [Pg.132]

Lund E. Buckling topology optimization of laminated multi-material composite shell structures. Compos Struct 2009 91 158-67. [Pg.97]

Hajela, P. and Lee, E. (1995). Genetic algorithms in truss topological optimization. Journal of Solids and Structures, 32(22), 3341-3357. [Pg.385]

The H-bond directionality is important in topology optimization. Keeping track of both the existence and direction of the H-bonds in a cluster can be accomplished by using a digraph. The latter can be represented by a directed adjacency matrix D. As with the adjacency matrix, the absence of a bond between monomers i and j is indicated by Dy = 0 and so all diagonal elements vanish, D = 0. If there is a bond in the direction then Dy = 1 and Dy = 0. The D matrix contains, for example, information about the number of donor (don) and acceptor (acc) H-bonds for each molecule = Y,j Dju A cc = S ij- Note that the summation index depends on the definition of the H-bond direction. In a computer program, the sparsity of A and D can be exploited by storing them as linked lists of non-zero elements. [Pg.29]

Kazimirski and Buch [49] foresaw and Takeuchi [51 ] refined a different approximate but fast H-bond topology optimization which can be used as part of a global minimum search. We now describe our version of this method which we call the short topology-altering optimization . [Pg.36]

Fig. 2.11 Comparison of four topology optimization methods. Energy differences E — are in kcal/mol. Filled circles ST, triangles ST + ET(IO), squares ST + ET(20), circles ST + ET(10) + GT... Fig. 2.11 Comparison of four topology optimization methods. Energy differences E — are in kcal/mol. Filled circles ST, triangles ST + ET(IO), squares ST + ET(20), circles ST + ET(10) + GT...
A careful assessment of this issue would help to improve algorithm performance. However, one should remember that test runs over a large variety of structures are required to obtain information on the details of the algorithm performance, since topology optimization is much more difficult for some oxygen frameworks than others. [Pg.42]

Hansel W,Treptow A, Becker W and Freisleben B (2002), A heuristic and a genetic topology optimization algorithm for weight-minimal laminate structures . Comp Struct, 58,287-294. [Pg.64]

Sigmund, O., and S. Torquato. 1999. Design of smart composite materials using topology optimization. Smart Materials and Structures 8(9) 365-379. [Pg.53]

Once the decision variables have been identified and prioritized, the techniques of topological optimization (Section 14.3 and parametric optimization (Section 14.4 can be applied. [Pg.450]

As previously discussed in Sections 14.1 and 14.2. there are essentially two types of optimization that a chemical engineer needs to consider. The first is termed topological optimization and deals with the topology or arrangement of process equipment. The second type is parametric optimization, and it is concerned with the operating variables, such as tenperature, pressure, and concentration of streams, for a given piece of equipment or process. In this section, topological optimization is discussed. Parametric optimization is addressed in Section 14.4. [Pg.450]

Both the pattern search and the response surface techniques allow the use of discrete decision variables. Topological changes can always be represented by changes in discrete decision variables (such as those defining the flowsheet topology), so these techniques can accommodate both parametric and topological optimization. [Pg.467]

The differences between parametric and topological optimization were investigated, and strategies were suggested for each type of optimization. [Pg.478]

What is the difference between parametric optimization and topological optimization List one example of each. [Pg.479]

Topology, in PFD (process flow diagram). See PFD fprocess flow diagraml process topology. Topology, optimizing equipment... [Pg.1032]

One should mention here the works of Wang who implemented a topology optimization procedure by genetic algorithm to developed a complex optimized surface relief (not a moth-eye structure), as a result claiming efficiencies up to three times over the Yablonovitch limit [195]. [Pg.84]

Zhong ZC, Wei SH, Wang JP et al. (2006) Finite element analysis of the lumbar spine with a new cage using a topology optimization method. Medical Engineering Physics 28 90-98... [Pg.442]


See other pages where Topology optimization is mentioned: [Pg.201]    [Pg.112]    [Pg.113]    [Pg.114]    [Pg.115]    [Pg.87]    [Pg.190]    [Pg.110]    [Pg.177]    [Pg.485]    [Pg.348]    [Pg.192]    [Pg.29]    [Pg.30]    [Pg.31]    [Pg.33]    [Pg.40]    [Pg.41]    [Pg.42]    [Pg.42]    [Pg.42]    [Pg.123]    [Pg.365]    [Pg.64]    [Pg.51]    [Pg.450]    [Pg.450]    [Pg.468]    [Pg.442]   
See also in sourсe #XX -- [ Pg.29 , Pg.30 , Pg.33 , Pg.36 , Pg.41 , Pg.42 ]




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