Optimum Design of Carbon/Epoxy Composite Laminates for Maximum Fatigue Life Using Multiaxial Prediction Models

dc.contributor.advisor Artem, Hatice Seçil
dc.contributor.author Deveci, Hamza Arda
dc.contributor.author Artem, Hatice Seçil
dc.date.accessioned 2018-04-16T08:11:50Z
dc.date.available 2018-04-16T08:11:50Z
dc.date.issued 2017
dc.description Thesis (Doctoral)--Izmir Institute of Technology, Mechanical Engineering, Izmir, 2017 en_US
dc.description Full text release delayed at author's request until 2020.01.26 en_US
dc.description Includes bibliographical references (leaves: 120-123) en_US
dc.description Text in English; Abstract: Turkish and English en_US
dc.description.abstract In this thesis study, the aim is to propose a methodology on the optimum stacking sequence design of carbon/epoxy composite laminates under various cyclic loading conditions for maximum fatigue life. In this respect, first, fatigue life prediction models, Failure Tensor Polynomial in Fatigue (FTPF), Fawaz-Ellyin (FWE), Sims-Brogdon (SB) and Shokrieh-Taheri (ST) are selected to investigate their prediction capabilities in multidirectional laminates and optimization capabilities in laminate design for maximum fatigue life. An experimental correlation study is performed for different multidirectional composite materials to evaluate the prediction capability of the models by comparing to each other. The predictions of the models give accurate and close results for all the composites in many lay-up configurations. Then, the optimum designs for maximum fatigue life are obtained for glass/epoxy composite laminate from the literature using different powerful hybrid algorithms to determine the optimization capability of the models. The results of the optimization imply that FTPF and SB models produce more consistent fatigue-resistant designs than FWE and ST models. After obtaining reasonable theoretical derivations, the methodology for fatigue-resistant design is applied to carbon/epoxy composite laminates under proper cyclic loading conditions. For this, first, quasi-static and fatigue strength properties of the carbon/epoxy laminates are determined by experimental procedure. Then, many problems including different design cases are solved using the FTPF model and hybrid PSA-GPSA algorithm, and multidirectional laminate designs with maximum fatigue life are determined. The results show that fatigue strength of the composite laminates can be seriously increased by appropriate stacking sequence designs. en_US
dc.format.extent xii, 137 leaves
dc.identifier.citation Deveci, H. A. (2017). Optimum design of carbon/epoxy composite laminates for maximum fatigue life using multiaxial prediction models. Unpublished doctoral dissertation, Izmir Institute of Technology, Izmir, Turkey en_US
dc.identifier.uri https://hdl.handle.net/11147/6890
dc.language.iso en en_US
dc.publisher Izmir Institute of Technology en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Fatigue en_US
dc.subject Estimation models en_US
dc.subject Optimization en_US
dc.subject Composite plates en_US
dc.subject Hybrid algorithm en_US
dc.title Optimum Design of Carbon/Epoxy Composite Laminates for Maximum Fatigue Life Using Multiaxial Prediction Models en_US
dc.title.alternative Karbon/epoksi Kompozit Plakaların Çok Eksenli Tahmin Modelleri Kullanılarak Maksimum Yorulma Ömrü için Optimum Tasarımı en_US
dc.type Doctoral Thesis en_US
dspace.entity.type Publication
gdc.author.institutional Deveci, Hamza Arda
gdc.coar.access open access
gdc.coar.type text::thesis::doctoral thesis
gdc.description.department Thesis (Doctoral)--İzmir Institute of Technology, Mechanical Engineering en_US
gdc.description.publicationcategory Tez en_US
relation.isAuthorOfPublication.latestForDiscovery da3a2833-28ca-41db-8767-7dfdfbc392c3
relation.isOrgUnitOfPublication.latestForDiscovery 9af2b05f-28ac-4022-8abe-a4dfe192da5e

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Name:
T001705.pdf
Size:
7.3 MB
Format:
Adobe Portable Document Format
Description:
DoctoralThesis

License bundle

Now showing 1 - 1 of 1
Loading...
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: