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Numerical and experimental procedure for material calibration using the serial/parallel mixing theory, to analyze different composite failure modes

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dc.contributor.author Granados, Joel Jurado
dc.contributor.author Martinez, Xavier
dc.contributor.author Nash, Niamh
dc.contributor.author Bachour, Carlos
dc.contributor.author Manolakis, Ioannis
dc.contributor.author Comer, Anthony J.
dc.contributor.author Di Capua, Daniel
dc.date.accessioned 2019-12-10T17:24:43Z
dc.date.available 2019-12-10T17:24:43Z
dc.date.issued 2019
dc.identifier.uri http://hdl.handle.net/10344/8310
dc.description peer-reviewed en_US
dc.description.abstract This work proposes a calibration procedure to obtain the material parameters required by the Serial/Parallel Mixing Theory for the analysis of composites. A set of experimental tests are defined to obtain the main composite failure modes. Then, it is proposed to calculate the parameters required by the formulation using the experimental results. The procedure proposed is validated by comparing the numerical results, with those obtained from the experimental campaign. This comparison shows that the Serial/Parallel mixing theory is capable of representing the failure modes of the composite for different loading scenarios as well as the material toughness en_US
dc.language.iso eng en_US
dc.publisher Taylor & Francis en_US
dc.relation Horizon 2020 en_US
dc.relation.ispartofseries Mechanics of Advanced Materials and Structures;
dc.subject Composites en_US
dc.subject serial/parallel mixing theory en_US
dc.subject nonlinear performance en_US
dc.title Numerical and experimental procedure for material calibration using the serial/parallel mixing theory, to analyze different composite failure modes en_US
dc.type info:eu-repo/semantics/article en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.identifier.doi 10.1080/15376494.2019.1675106
dc.contributor.sponsor ERC en_US
dc.relation.projectid 723360 en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US
dc.internal.rssid 2934321


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