Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/49634
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dc.titleNumerical Modelling of Scale-Dependent Damage and Failure of Composites
dc.contributor.authorCHEN BOYANG
dc.date.accessioned2014-03-31T18:02:01Z
dc.date.available2014-03-31T18:02:01Z
dc.date.issued2013-08-22
dc.identifier.citationCHEN BOYANG (2013-08-22). Numerical Modelling of Scale-Dependent Damage and Failure of Composites. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/49634
dc.description.abstractA computational study of the size effects of open-hole tension composite laminates is carried out. The thickness-dependence of translaminar fracture toughness is accounted for in the numerical model, which enables the sublaminate-scaling effect of strength to be accurately predicted by a deterministic model. Neglecting delamination in modelling is found to cause mesh-dependence and over-estimation in strength predictions. A smeared crack model with cohesive elements between plies can reliably predict the failure mode, but not the strength, for laminates failed by delamination. A floating node method is developed for explicitly modelling multiple discontinuities within an element. The degree-of-freedom vectors do not have associated initial coordinates; they are assigned to new material points when needed during analysis. The proposed method is well suited for modelling strong, weak and cohesive discontinuities, for the representation of complex crack networks, and for the accurate modelling of matrix crack/delamination interactions in composites.
dc.language.isoen
dc.subjectComposites, Size Effect, Finite Element Method, Extended Finite Element Method, Phantom Node Method, Floating Node Method
dc.typeThesis
dc.contributor.departmentMECHANICAL ENGINEERING
dc.contributor.supervisorTAY TONG EARN
dc.contributor.supervisorPEDRO BAIZ VILLAFRANCA
dc.description.degreePh.D
dc.description.degreeconferredNUS-ICL JOINT PH.D. (FoE)
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Ph.D Theses (Open)

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