The proposition of computational models that permit to improve the safety levels and the structural reliability have been a constant concern of the engineering community (see SINAPS project). In the cases of nuclear power plants structures, the severe conditions of exposition make the inverse analysis a valuable tool for estimation of structural integrity. In this context, finding relevant parameters for accurate quantifications is a complex engineering problem. Dynamical experimental investigations have shown the formation of cracks at the vicinity of structural element connections (joints), what highlights the importance of this region for the effective transmission of forces among structural members. The present study shows recent advances achieved by the LMT in order to better understand the role of structural interconnections in-service conditions. In particular, how the shear-wall slab connection influences the structural response when dynamical loads take place. The continuity hypothesis is handled by the Domain Decomposition assumption which permits to consider each connection as an isolated entity that can follow any particular constitutive relation. This modularity favors the inclusion of supplementary necessary nonlinearities. The joint is admitted to follow the Hookean law completely defined by a set of six parameters. The present study proposes a numerical procedure for identifying the characteristic parameters through the finite element model updating, based on the Constitutive Relation Error (CRE) theory. The CRE formulations have been recognized as a powerful tool for inverse analysis that avoids heuristic selection criteria. All implementations have been performed with the software CAST3M, the mechanical software developed by the CEA (French Atomic Energy and Alternative Energies Commission). Disposing of arbitrary measures, it is demonstrated that each proposed parameter is successfully identified. The robustness and accuracy are maintained even in unfavorable conditions such as reduced number of data acquisition or sensor misplacement. The preliminary results let clear the advantages of using the proposed numerical framework for real-world engineering problems.Read less <