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Modeling, characterization and parametric identification of low velocity impact behavior of time-dependent hyper-viscoelastic sandwich panels
- Source :
- Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications. 233:622-636
- Publication Year :
- 2017
- Publisher :
- SAGE Publications, 2017.
-
Abstract
- Accurate and deep understanding of the mechanical and physical behavior of sandwich panels with soft elastomeric foams, e.g. cellular solids, such as ethylene vinyl acetate is a key task in designing these structures, and also optimizing their mechanical behavior. The main objective of the present research is to present an applicable method to determine the non-linear hyper-viscoelastic response of elastomeric sandwich panels to low velocity impact loadings, by presenting an applied method. A combination of experimental results and finite element analysis, in conjunction with optimization method is used to determine the hyper-viscoelastic behavior of the studied sandwich panels. The suggested combinational approach can replace the time-consuming and expensive creep and/or relaxation experiments. A relatively simple approach is proposed to identify time-dependent viscoelastic material behavior of elastomeric foams. The calibrated finite element model is utilized to perform a set of parametric studies and the effect of various material properties is studied on the low velocity impact response of sandwich plates.
- Subjects :
- Materials science
business.industry
Mechanical Engineering
Ethylene-vinyl acetate
Structural engineering
Elastomer
Viscoelasticity
Characterization (materials science)
chemistry.chemical_compound
chemistry
General Materials Science
Parametric identification
Composite material
business
Sandwich-structured composite
Subjects
Details
- ISSN :
- 20413076 and 14644207
- Volume :
- 233
- Database :
- OpenAIRE
- Journal :
- Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications
- Accession number :
- edsair.doi...........a180f7e9fc47179ed63850739b77c44c