2008
DOI: 10.1007/s00158-008-0258-z
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Enumeration of optimal pin-jointed bistable compliant mechanisms with non-crossing members

Abstract: An optimization approach is presented for enumerating pin-jointed bistable compliant mechanisms. In the first stage, the statically determinate trusses with non-crossing members containing a given set of nodes and some pre-defined members are regarded as minimally rigid framework or a Laman framework, and are enumerated without repetitions by the graph enumeration algorithm. In the second stage, the nodal locations and the cross-sectional areas are optimized under mechanical constraints, where the snapthrough … Show more

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Cited by 12 publications
(2 citation statements)
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“…In this case, it is highly recommended to use gradient-free methods (Sigmund, 2011). Because of this reason, multiple researches on structural network design with bi-stable components have been performed using the GA (Ohsaki et al, 2009; Prasad and Diaz, 2006).…”
Section: Optimal Structural Network Synthesismentioning
confidence: 99%
See 1 more Smart Citation
“…In this case, it is highly recommended to use gradient-free methods (Sigmund, 2011). Because of this reason, multiple researches on structural network design with bi-stable components have been performed using the GA (Ohsaki et al, 2009; Prasad and Diaz, 2006).…”
Section: Optimal Structural Network Synthesismentioning
confidence: 99%
“…However, the effectiveness of this approach needs to be studied in detail, especially for connectivity search. As attempted by Ohsaki et al (2009), a sequential design strategy for connectivity and parameter optimization can be considered and compared with this article’s approach. For effective connectivity search, a logical procedure to determine total possible connectivity, either by “ground structure” (Bendsoe et al, 1994; Dorn et al, 1964; Prasad and Diaz, 2006) or by enumeration scheme (Kawamoto et al, 2004; Ohsaki et al, 2009; Tuttle et al, 1989), can be considered in the future research.…”
Section: Optimal Structural Network Synthesismentioning
confidence: 99%