In this investigation, a constitutive material model to predict elastic–plastic behavior of fiber metal laminates is introduced. The constants of the model can be obtained from the geometry and mechanical properties of the sublayers. This model can significantly reduce the computational efforts and central processing unit time by ignoring the contact between the fiber metal laminate layers. The ability of the model to predict plastic behavior of material makes it applicable to different metallic layers. Mechanical properties of each sublayer are obtained from tensile tests. The results of finite element analysis of the fiber metal laminate specimens using layered and bulk models revealed that the influence of glue was ignorable. The proposed model was validated by performing tensile tests on fiber metal laminate grades I and II and also on low and high metal volume fraction
A new constitutive bulk material model to predict the uniaxial tensile nonlinear behavior of fiber metal laminates
Bonora, Nicola;Iannitti, Gianluca;Ruggiero, Andrew;
2018-01-01
Abstract
In this investigation, a constitutive material model to predict elastic–plastic behavior of fiber metal laminates is introduced. The constants of the model can be obtained from the geometry and mechanical properties of the sublayers. This model can significantly reduce the computational efforts and central processing unit time by ignoring the contact between the fiber metal laminate layers. The ability of the model to predict plastic behavior of material makes it applicable to different metallic layers. Mechanical properties of each sublayer are obtained from tensile tests. The results of finite element analysis of the fiber metal laminate specimens using layered and bulk models revealed that the influence of glue was ignorable. The proposed model was validated by performing tensile tests on fiber metal laminate grades I and II and also on low and high metal volume fractionI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.