Sensitivity Analysis of Material Model Parameters to Reproduce Crushing of Composite Tubes

Autor: Simonetta Boria
Rok vydání: 2019
Předmět:
Zdroj: Journal of Materials Engineering and Performance. 28:3267-3280
ISSN: 1544-1024
1059-9495
DOI: 10.1007/s11665-019-04047-6
Popis: The ability to predict the behavior of composite structures under impact conditions is an important challenge for engineering analysis since it requires modeling beyond the elasticity and into failure initiation and propagation. Crushing of laminate composites is the result of a combination of several and complex failure mechanisms, which are not always possible to reproduce together in a single finite element analysis (FEA). In this paper, models based on lamina-level failure criteria have been used to predict the onset of damage; once failure initiates, the mechanisms of failure propagation require reducing the material properties using several degradation schemes. Among the composite material models available in LS-DYNA, MAT_ENHANCED_COMPOSITE_DAMAGE (MAT_54) has been chosen for modeling the axial crushing of composite tubes with various resistant sections and wall slope, given the reduced experimental input parameters to insert into the card definition. Comparison with experimental data shows that such material model is able to successfully reproduce the crushing behavior, even if the numerical results are strictly correlated with some model parameters which cannot be measured experimentally or are purely mathematical expedients. Therefore, extensive calibration of these parameters by trial-and-error is necessary to achieve successful simulation results. Once done it for a structure made of the same composite material, it is possible to adopt the same card configuration for all the other cases, obtaining good agreement between numerical and experimental results. After, the attempt to model the same geometries using the MAT_LAMINATED_COMPOSITE_FABRIC (MAT_58) card with the same parameter values previously calibrated has been done obtaining results comparable with the experimental data.
Databáze: OpenAIRE
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