A review of impact testing on marine composite materials: Part II – Impact event and material parameters

2018 ◽  
Vol 188 ◽  
pp. 503-511 ◽  
Author(s):  
L.S. Sutherland
Keyword(s):  
Composite Materials ◽  
Impact Testing ◽  
Impact Event ◽  
Material Parameters ◽  
Marine Composite

scholarly journals Reliability and micromechanics of Composite Materials

1992 ◽  
Vol 1 (3) ◽  
pp. 096369359200100 ◽  
Author(s):  
Zhanjun Gao
Keyword(s):  
Composite Materials ◽  
Structural Reliability ◽  
Global Response ◽  
Micromechanical Analysis ◽  
Material Parameters ◽  
Micro Level

A methodology is proposed to evaluate the reliability of composites. Micromechanical analysis is utilized as a basis for the representation of the effects of constituent properties on global response. The analysis is then combined with the models of structural reliability to study the influence of micro-level material parameters on reliability of composites under static loadings.

scholarly journals 3D-Simulation of Topology-Induced Changes of Effective Permeability and Permittivity in Composite Materials

2007 ◽  
Vol 2007 ◽  
pp. 1-8 ◽  
Author(s):  
B. Hallouet ◽  
R. Pelster
Keyword(s):  
Composite Materials ◽  
Effective Permeability ◽  
Filling Factor ◽  
Effective Permittivity ◽  
Matrix Material ◽  
Systematic Difference ◽  
Material Parameters ◽  
Effective Medium Model ◽  
Permittivity And Permeability ◽  
Induced Changes

We have performed 3D simulations of complex effective permittivity and permeability for random binary mixtures of cubic particles below the percolation threshold. We compare two topological classes that correspond to different spatial particle arrangements: cermet topology and aggregate topology. At a low filling factor off=10%, where most particles are surrounded by matrix material, the respective effective material parameters are indistinguishable. At higher concentrations, a systematic difference emerges: cermet topology is characterized by lower effective permittivity and permeability values. A distinction between topological classes might thus be a useful concept for the analysis of real systems, especially in cases where no exact effective-medium model is available.

scholarly journals A Mixed Iteration Method to Determine the Linear Material Parameters in the Study of Creep Behavior of the Composites

Polymers ◽  
2021 ◽  
Vol 13 (17) ◽  
pp. 2907
Author(s):  
Mostafa Katouzian ◽  
Sorin Vlase ◽  
Maria Luminița Scutaru
Keyword(s):  
Composite Materials ◽  
Creep Behavior ◽  
Iteration Method ◽  
Viscoelastic Behavior ◽  
Calculation Algorithm ◽  
Nonlinear Parameters ◽  
Material Parameters ◽  
Different Temperatures ◽  
Classical Models ◽  
Linear Material

This paper presents and applies a mixed iteration method to determine the nonlinear parameters of the material used to study a composite’s creep behavior. To describe the research framework, we made a synthetic presentation of the viscoelastic behavior of composite materials by applying classical models. Further, the presented method was based on a calculation algorithm and program, which was applied on several types of materials. In a consecutive procedure of experiments and calculations, we determined the material parameters of the studied materials. The method was further applied to two composite materials in which the nonlinearity factors at different temperatures were determined.

scholarly journals INVERSE COMPUTATIONAL DETERMINATION OF JOHNSON-COOK PARAMETERS USING THE SHPB TEST APPARATUS

2019 ◽  
Vol 25 ◽  
pp. 64-67
Author(s):  
Anja Mauko ◽  
Branko Nečemer ◽  
Zoran Ren
Keyword(s):  
Base Material ◽  
Impact Testing ◽  
Strain Rates ◽  
Sample Material ◽  
Hardening Material ◽  
Material Parameters ◽  
Digital Twin ◽  
Twin Model ◽  
Shpb Test

The paper describes determination of the material parameters of the Johnson-Cook constitutive model of steel S235 JR sample material by applying the inverse computational methodology using the digital twin model of the SHPB. A quasi-static tensile testing of bulk material was conducted first to determine the base material parameters. This was followed by dynamic impact testing at two different strain rates using the SHPB. A digital twin computational model was built next in the LS-Dyna explicit finite element system to carry out the necessary computer simulations of the SHPB test. The inverse determination of strain hardening material parameter of Johnson-Cook model was done by using the Nelder-Mead simplex optimisation by comparing the measured and computed stress to time signals on incident and transmission bars. The obtained Johnson-Cook material parameters much better describe the sample material behaviour at very high strain-rates in computational simulations, if compared to the parameters derived by the classic, one-dimensional wave propagation Hopkinson procedure.

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