Institutional Repository [SANDBOX]
Technical University of Crete
EN  |  EL

Search

Browse

My Space

Optimal design of smart composites

Tairidis Georgios, Φουτσίτζη Γεωργία, Stavroulakis Georgios

Simple record


URIhttp://purl.tuc.gr/dl/dias/4058B046-5FE8-40AF-AC73-FCF79634D924-
Identifierhttps://doi.org/10.1007/978-3-030-12767-1_10-
Identifierhttps://link.springer.com/chapter/10.1007/978-3-030-12767-1_10-
Languageen-
Extent33 pagesen
TitleOptimal design of smart compositesen
CreatorTairidis Georgiosen
CreatorΤαϊριδης Γεωργιοςel
CreatorΦουτσίτζη Γεωργίαel
CreatorFoutsitzi Georgiaen
CreatorStavroulakis Georgiosen
CreatorΣταυρουλακης Γεωργιοςel
PublisherSpringer Natureen
Content SummaryIn the present chapter, optimal design problems related to smart composites are investigated. First, the mechanical properties of a smart composite can be tailored to meet required specifications. Beyond classical shape and layout optimization related to the layers of a composite, pointwise optimization leading to functionally graded composites or even topology optimization can be applied. A cantilever beam with two materials is briefly presented. Furthermore, the control subsystem has several parameters to be optimized: number and position of sensors and actuators, as well as the parameters of the controller. Here, some basic techniques regarding soft control based on fuzzy and neuro-fuzzy strategies are presented, along with optimization options and methods which can be used for the fine-tuning of the parameters of the system. The main concept of the present chapter is to provide stimuli to those who deal with design, optimization, and control issues on smart structures.en
Type of ItemΚεφάλαιο σε Βιβλίοel
Type of ItemBook Chapteren
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2020-10-29-
Date of Publication2019-
SubjectSmart compositesen
Subject Composite mechanical propertiesen
SubjectNeuro-fuzzy strategiesen
Bibliographic CitationG.K. Tairidis, G. Foutsitzi and G.E. Stavroulakis, "Optimal design of smart composites," in Approximation and Optimization, vol. 145, Springer Optimization and Its Applications, I. Demetriou, P. Pardalos, Eds., Cham, Switzerland: Springer Nature, 2019, pp. 185-217. doi: 10.1007/978-3-030-12767-1_10el
Book TitleApproximation and Optimizationen
Book SeriesSpringer Optimization and Its Applicationsen

Services

Statistics