The master thesis is based on the comparison of nonlinear seismic analyses of structures, highlighting their advantages and disadvantages. As part of the work, a model of a realistic reinforced concrete (RC) frame apartment building was created using the SeismoStruct2018 software. The first analysis conducted was the static pushover analysis, aimed at obtaining load-bearing capacity curves and inter-story displacements to assess structural damage. During this method, loads were applied to four models with varying dimensions of columns and beams and different amounts of reinforcement in two scenarios: uniformly distributed and triangularly distributed. Based on the results, Model 3 was selected as the most relevant, demonstrating superior performance in both load cases (the yield point was reached at a higher force compared to other models, and the ultimate load capacity was achieved at greater displacements). When evaluating damage from the results, it was observed that uniform loading resulted in significant structural damage, while triangular loading indicated damage nearing collapse. This was followed by a nonlinear dynamic analysis, where a set of six earthquake records with a ground acceleration of 0.2g was used. Inter-story displacements and displacements over time were recorded. The mean value of inter-story displacements was calculated from the six seismic records, revealing significant damage as indicated in the previous analysis. Finally, an incremental dynamic analysis was conducted using the same set of earthquake records. This resulted in the generation of IDA curves, vulnerability curves, and levels of vulnerability. The results revealed that some IDA curves indicated inelastic responses of the structure or linear behavior up to failure. The vulnerability curves and damage levels indicated a high probability of significant damage, consistent with the previous analyses. The thesis concludes with a detailed discussion of the advantages and disadvantages of the various analyses and offers recommendations for their application.