![]() % Define clustering (horizontal and vertical DOFs) % energy of numerical eigenmode 1 that corresponds to vertical degrees of % verification script verifies a specific result of section 4 (Benchmark % criterion) of this reference is programmed in this submission. % analyzed in section 3 (Mode assignment using energy-based modal assurance % modal assurance criterion based on modal strain energies. % The above reference proposes a mode pairing strategy using an enhanced % strategy using an enhanced modal assurance criterion based on modal %% Clustered Energy Based Modal Assurance Criterion (MAC) A numerical example and a benchmark study with experimental data are presented to show the advantages of the proposed energy-based criterion in comparison to the traditional modal assurance criterion. ![]() In this paper, the purely mathematical modal assurance criterion will be enhanced by additional physical information from the numerical model in terms of modal strain energies. Unfortunately, this criterion fails in certain cases and is not reliable for automatic approaches. The most common criterion for indicating corresponding mode shapes is the modal assurance criterion. Therefore, the automatic selection of the most likely numerical mode shape corresponding to a particular experimentally identified mode shape can be a difficult task. ![]() In many cases, only limited spatial information is available and noise is present in the measurements. ![]() Consequently, the correct pairing of experimentally obtained and numerically derived natural frequencies and mode shapes is important. In the context of finite element model updating using output-only vibration test data, natural frequencies and mode shapes are used as validation criteria. ![]()
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