The development of new engineering elements has increased the application of new technologies and materials. This trend has stimulated in the last few decades scientists to describe the material behaviour with more reliable and complex constitutive laws. The latter ones require advanced methods for the identification and validation of material parameters. Digital Image Correlation (DIC) as a full-field measurement technique coupled with Finite Element analyses is suited for identification and validation purposes. Within this thesis, identification and validation of the nonlinear behaviour of nodular graphite cast iron is carried out. Finite Element Model Updating procedures will be used as the identification tool.rnRegularised DIC code was developed and its application found compromise between standard displacement resolution and spatial resolution. As a result of regularised DIC is decrease of uncertainty of the measured displacement field in comparison with existing DIC algorithms.The challenge of analysing poor texture of nodular graphite cast iron where conventional DIC approaches fail to capture accurately the displacement is successfully bypassed with R-DIC.The overall contribution of this thesis is related to a better understanding of the nonlinear mechanical behavior of the investigated nodular graphite cast iron. The main part of this research hase been implementation of an generic algorithms for identification of material parameters. Thus, its use is also applicable on other materials that may include various load regimes and constitutive laws. Further investigation is proposed which should yield with more reliable description of the material behavior.