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Statistical Methodology for Assessing Manufacturing Quality Related to Transverse Cracking in Cross Ply Laminates
Wind R&D Center, Siemens Energy.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Material Science.ORCID iD: 0000-0001-9649-8621
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Material Science.ORCID iD: 0000-0003-1871-4020
2014 (English)In: Composites Science And Technology, ISSN 0266-3538, E-ISSN 1879-1050, Vol. 95, p. 100-106Article in journal (Refereed) Published
Abstract [en]

We present a statistical analysis based methodology for making assessment of the manufacturing quality of cross ply composite laminates as it relates to its effect on transverse cracking evolution. Assuming a two-parameter Weibull distribution of tensile strength of the transverse plies to represent randomly distributed manufacturing defects, multiple crack formation in the plies is simulated in the non-interactive and interactive regimes of cracking using the local stress fields calculated by a variational analysis. The statistical methodology is demonstrated on crack density evolution in cross ply laminates manufactured by four different processing routes and loaded in monotonic tension in the axial direction. The differences in the crack density evolution, supposedly due to different defect population induced by the four manufacturing conditions, could be described by the proposed statistical simulation method.

Place, publisher, year, edition, pages
2014. Vol. 95, p. 100-106
National Category
Composite Science and Engineering
Research subject
Polymeric Composite Materials
Identifiers
URN: urn:nbn:se:ltu:diva-9572DOI: 10.1016/j.compscitech.2014.02.010ISI: 000334899100014Scopus ID: 2-s2.0-84897762142Local ID: 838cf6d6-eb63-490b-9292-7e842559f7b8OAI: oai:DiVA.org:ltu-9572DiVA, id: diva2:982510
Note
Validerad; 2014; 20140224 (andbra)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved

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Varna, JanisTalreja, Ramesh

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CiteExportLink to record
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