Structural optimization with frequency constraints using the finite element force method
By Ramin Sedaghati, Afzal Suleman, B. Tabarrok. 2002
95 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Mechanics of Materials
View Paper: https://www.semanticscholar.org/paper/08c7745b76554d1c2ab584873c840b9f15c89af2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
- Wenjie Zuo
- A. Alinia-ziazi
- Saeed Gholizadeh
- Tao Xu
- Hao Zhang
- Tianshuang Xu
- B. Farshi
- Alireza Barzegar
In Mechanics of Materials
Citations in the corpus
- Fast structural optimization with frequency constraints by genetic algorithm using adaptive eigenvalue reanalysis methods (2011, methodology): “This example has been widely investigated in more detail by Grandhi (1993) using optimality algorithm, Sedaghati et al. (2002) using SQP technique in conjunction with the finite element force method, Wang et al. (2004) using evolutionary node shift methods as well as Wei et al. (2005 )u sing niche”
- Sizing optimization of truss structures by method of centers and force formulation (2010, methodology): “The same force formulation was utilized in optimization under frequency constraints, which performed better than the displacement method (Sedaghati, 2005; Sedaghati et al., 2001, 2002).”
- Shape optimization of structures for frequency constraints by sequential harmony search algorithm (2013, background): “This problem has been investigated by Sedaghati et al. (2002), Gomes (2011) and Kaveh and Zolghadr (2011).”
- Truss optimization on shape and sizing with frequency constraints based on parallel genetic algorithm (2011, methodology): “This example has been investigated in detail by Grandhi and Venkayya (1988) using optimality criteria algorithm, Sedaghati et al. (2002) using SQP technique with the finite element force method, Wang et al. (2004) using evolutionary node shift methods, as well as Wei et al. (2005) using NHGA.”