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The surface defects of the material are difficult to detect and difficult to repair. A grand challenge in materials science is to design "smart" synthetic system that can re-establish the continuity and integrity of the damaged area. Recent research of the nanocontainers with process of self-healing materials promises a good avenue for new smart nanocoating interfaces. We use two different modeling approaches, discrete and continuum, to investigate coating substrates that contain nanoscale defects with healing agents. The discrete modeling uses the Dissipative Particle Dynamics (DPD) method with usual three forces: repulsive, dissipative and random forces, as well as additional forces which bound healing agents to metal substrate. The continuum modeling uses Finite Element Method (FEM) with different diffusivity and fluxes. The initial results show what the necessary share is, in percentages, of the inhibitors in nanocontainers, to protect the metal surface which is treated with these healing agents. Further application of modeling coupled with data mining technology could help faster development of new active multi-level protective systems for future materials.

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Application of Innovative methodology for risk assessment and inspection methods is the result of a long-term work in the field of Risk-Based Inspection. As such, it was successfully applied on oil and gas facilities in the Middle East. As an example of its versatility, application will be shown on small experimental biomass gasification plant utilized for the purpose of combined heat and power generation, built in Serbia in the middle of the past decade. Throughout the analysis both active and passive damage mechanisms will be identified as well as barriers thus enabling the creation of a system that documents the dynamics of the damage mechanisms and installed barriers.