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dc.contributor.authorXu, Yangguang
dc.contributor.authorTao, Ran
dc.contributor.authorLubineau, Gilles
dc.date.accessioned2018-05-07T07:36:25Z
dc.date.available2018-05-07T07:36:25Z
dc.date.issued2018-05-03
dc.identifier.citationXu Y, Tao R, Lubineau G (2018) Nonlinear viscoelasticity of pre-compressed layered polymeric composite under oscillatory compression. Composites Science and Technology. Available: http://dx.doi.org/10.1016/j.compscitech.2018.04.039.
dc.identifier.issn0266-3538
dc.identifier.doi10.1016/j.compscitech.2018.04.039
dc.identifier.urihttp://hdl.handle.net/10754/627765
dc.description.abstractDescribing nonlinear viscoelastic properties of polymeric composites when subjected to dynamic loading is essential for development of practical applications of such materials. An efficient and easy method to analyze nonlinear viscoelasticity remains elusive because the dynamic moduli (storage modulus and loss modulus) are not very convenient when the material falls into nonlinear viscoelastic range. In this study, we utilize two methods, Fourier transform and geometrical nonlinear analysis, to quantitatively characterize the nonlinear viscoelasticity of a pre-compressed layered polymeric composite under oscillatory compression. We discuss the influences of pre-compression, dynamic loading, and the inner structure of polymeric composite on the nonlinear viscoelasticity. Furthermore, we reveal the nonlinear viscoelastic mechanism by combining with other experimental results from quasi-static compressive tests and microstructural analysis. From a methodology standpoint, it is proved that both Fourier transform and geometrical nonlinear analysis are efficient tools for analyzing the nonlinear viscoelasticity of a layered polymeric composite. From a material standpoint, we consequently posit that the dynamic nonlinear viscoelasticity of polymeric composites with complicated inner structures can also be well characterized using these methods.
dc.description.sponsorshipThe research reported in this publication was supported by funding from King Abdullah University of Science and Technology (KAUST) and Natural Science Foundation of China (Grant Nos. 11502256). The authors would like to thank Prof. Wolfgang Heidrich and Dr. Qiang Fu from the Visual Computing Center (VCC) at KAUST for their help with 3D printing.
dc.publisherElsevier BV
dc.relation.urlhttp://www.sciencedirect.com/science/article/pii/S0266353818301702
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in Composites Science and Technology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Composites Science and Technology, [, , (2018-05-03)] DOI: 10.1016/j.compscitech.2018.04.039 . © 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectNonlinear viscoelasticity
dc.subjectLayered polymeric composite
dc.subjectFourier transform
dc.subjectGeometrical nonlinear analysis
dc.subjectOscillatory compression
dc.titleNonlinear viscoelasticity of pre-compressed layered polymeric composite under oscillatory compression
dc.typeArticle
dc.contributor.departmentComposite and Heterogeneous Material Analysis and Simulation Laboratory (COHMAS)
dc.contributor.departmentMechanical Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.identifier.journalComposites Science and Technology
dc.eprint.versionPost-print
dc.contributor.institutionInstitute of Systems Engineering, China Academy of Engineering Physics (CAEP), Mianyang, 621999, People's Republic of China
kaust.personXu, Yangguang
kaust.personTao, Ran
kaust.personLubineau, Gilles
dc.date.published-online2018-05-03
dc.date.published-print2018-07


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