Mechanical identification of materials and structures with optical methods and metaheuristic optimization
Yükleniyor...
Tarih
2019
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
MDPI AG
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
This study presents a hybrid framework for mechanical identification of materials and structures. The inverse problem is solved by combining experimental measurements performed by optical methods and non-linear optimization using metaheuristic algorithms. In particular, we develop three advanced formulations of Simulated Annealing (SA), Harmony Search (HS) and Big Bang-Big Crunch (BBBC) including enhanced approximate line search and computationally cheap gradient evaluation strategies. The rationale behind the new algorithms-denoted as Hybrid Fast Simulated Annealing (HFSA), Hybrid Fast Harmony Search (HFHS) and Hybrid Fast Big Bang-Big Crunch (HFBBBC)-is to generate high quality trial designs lying on a properly selected set of descent directions. Besides hybridizing SA/HS/BBBC metaheuristic search engines with gradient information and approximate line search, HS and BBBC are also hybridized with an enhanced 1-D probabilistic search derived from SA. The results obtained in three inverse problems regarding composite and transversely isotropic hyperelastic materials/structures with up to 17 unknown properties clearly demonstrate the validity of the proposed approach, which allows to significantly reduce the number of structural analyses with respect to previous SA/HS/BBBC formulations and improves robustness of metaheuristic search engines.
Açıklama
Anahtar Kelimeler
Big bang-big crunch, Harmony search, Hybrid metaheuristic algorithms, Inverse problems, Optical methods, Simulated annealing
Kaynak
Materials
WoS Q Değeri
Q2
Scopus Q Değeri
Q2
Cilt
12
Sayı
13
Künye
Ficarella, E., Lamberti, L. ve Deǧertekin, S. Ö. (2019). Mechanical identification of materials and structures with optical methods and metaheuristic optimization. Materials, 12(13), 2133.
