The dual phase (DP) steels are extensively employed in the large strength applications. The component or part sometimes fail under the applied load during the production stage or in the working conditions. The main constituents of dual phase steel viz. ferrite and martensite play an important role in determining the performance of component during service. Analysis of material using these constituents separately makes it convenient to determine the optimum working conditions. Numerical methods can be applied to determine the parameters of the damage model for these constituents. The current work suggests a method to determine the damage parameters using the “Teacher-Learner based optimization” (TLBO) algorithm and finite element method. The artificial microstructure in microstructural analysis of uniaxial tensile test is mapped to Gauss points in a damage included finite element model. The TLBO algorithm is used to get the parameters of the damage model for each of the microstructural constituents employing the homogenization approach and using the data extracted from the macro scale simulation. It is found that the proposed uncoupled elitist-TLBO algorithm and finite element analysis can effectively compute the unknown parameters in the Lemaitre’s damage model for both the microstructural constituents viz. ferrite and martensite in dual phase steel. The so developed modelling work being generic in nature that can also be used for the computation of parameters for different types of models.
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