Stochastic multi-scale modelling of short- and long-range effects in textile composites based on experimental data

Autor: Vanaerschot, Andy, Cox, Brian N, Lomov, Stepan Vladimirovitch, Vandepitte, Dirk
Jazyk: angličtina
Rok vydání: 2014
Předmět:
Popis: Realistic virtual textile composites are generated of a carbon-epoxy 2/2 twill woven composite. Each specimen, spanning ten by ten unit cells, possesses the short- and long-range variability characterised from experimental samples in prior work. A stochastic multi-scale modelling approach is presented to simulate many random reinforcements as combination of average trends with zero-mean deviations. Depending on the presence of cross-correlation, either the Monte Carlo Markov Chain method or Series Expansion technique is applied to generate the tow path deviations. Virtual specimens are acquired in the WiseTex format that reproduce the statistical information of the experimental samples on average. ispartof: pages:1-8 ispartof: Proceedings of the 16th European Conference on Composite Materials pages:1-8 ispartof: ECCM location:Seville, Spain date:22 Jun - 26 Jun 2014 status: published
Databáze: OpenAIRE