Mechanical identification of materials and structures with optical methods and metaheuristic optimization
dc.authorid | 0000-0001-8885-6468 | en_US |
dc.contributor.author | Ficarella, Elisa | |
dc.contributor.author | Lamberti, Luciano | |
dc.contributor.author | Deǧertekin, Sadık Özgür | |
dc.date.accessioned | 2021-09-14T05:50:03Z | |
dc.date.available | 2021-09-14T05:50:03Z | |
dc.date.issued | 2019 | en_US |
dc.department | Dicle Üniversitesi, Mühendislik Fakültesi, İnşaat Mühendisliği Bölümü | en_US |
dc.description.abstract | 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. | en_US |
dc.identifier.citation | 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. | en_US |
dc.identifier.doi | 10.3390/ma12132133 | en_US |
dc.identifier.issn | 1996-1944 | |
dc.identifier.issue | 13 | en_US |
dc.identifier.pmid | 31269761 | en_US |
dc.identifier.scopus | 2-s2.0-85068878567 | en_US |
dc.identifier.scopusquality | Q2 | en_US |
dc.identifier.startpage | 2133 | en_US |
dc.identifier.uri | https://www.mdpi.com/1996-1944/12/13/2133 | |
dc.identifier.uri | https://hdl.handle.net/11468/7531 | |
dc.identifier.volume | 12 | en_US |
dc.identifier.wos | WOS:000477043900097 | |
dc.identifier.wosquality | Q2 | |
dc.indekslendigikaynak | Web of Science | |
dc.indekslendigikaynak | Scopus | |
dc.indekslendigikaynak | PubMed | |
dc.institutionauthor | Deǧertekin, Sadık Özgür | |
dc.language.iso | en | en_US |
dc.publisher | MDPI AG | en_US |
dc.relation.ispartof | Materials | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Big bang-big crunch | en_US |
dc.subject | Harmony search | en_US |
dc.subject | Hybrid metaheuristic algorithms | en_US |
dc.subject | Inverse problems | en_US |
dc.subject | Optical methods | en_US |
dc.subject | Simulated annealing | en_US |
dc.title | Mechanical identification of materials and structures with optical methods and metaheuristic optimization | en_US |
dc.type | Article | en_US |
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