Vibrational Response Reconstruction and Model Validation

In this thesis, laboratory response reconstruction andcomputational model validation is investigated. The former concernsapplications of control theory as the objective is to reproduce acertain loading for a known component, while the latter concernsoptimization of a parameterized model as the objective is to modifya computational model to mimic a certain component\u27s behavior. Thesesibling problems are also often referred to as drive signalidentification for rig testing and model updating, respectively.They are both inverse problems, as in the case of drive signalidentification the objective is to find a suitable input based onknowledge of the system and its output, while the model updatingobjective is to modify a system based on knowledge of its input andoutput. These problems are often further classified as inverseproblems of the first and second kind, respectively. Aspects ofthese two neighbor problems, namely controllability considerationsin the case of response reconstruction and error metricconsiderations in the case of model validation, are treated