Abstract:
An inverse approach combining numerical and experimental results with full-field
displacement measurements, will allow the identification of all the in-plane elastic
properties from experimental tests. The off-axis tensile test was chosen, and in order to
calibrate the numerical method an 8-harness satin weave glass fiber reinforced phenolic
composite was selected. Instead the use of a non-destructive technique an alternative
hybrid approach is proposed to obtain the field displacement. In this way a reference
displacement field is generated by finite element method considering the loading and
boundary conditions used in tensile tests and the mechanical properties obtained from
experiments.
In this work effort is made to develop a technique for nondestructive characterization
of laminated composites. Elastic properties of the composite are determined through
this approach using an inverse technique based on finite element analysis and
evolutionary algorithm supported by the experimental results. Mechanical properties of
composite develop a link between the load applied in off axis tensile test and
displacement field. The implementation of surrogate model ANN (Artificial Neural
Network) eliminates the exhaustive calculation of elastic properties and displacement
fields. Using UDM (Uniform Design Method) set of design points is generated. This
will enables a uniform exploration of domain values that will be used in the
development of ANN (Artificial Neural Network) approximation model.
Then, Reference displacement field is generated by FEM (Finite Element Method)
taking into account the geometry of specimen, considering experimental loading and
boundary condition. Experimental output data acquired for displacement field is
providing as a reference in the optimization problem. The design variables of the
optimization problem are the independent elastic engineering constants E1
(Longitudinal), E2 (Transversal), G (Shear Modulus) and v Poisson’s ratio).
