A Framework for Correcting Measurement Position and Directions to Improve Experimental Frequency-based Substructuring and Hybrid Models

Experimental Frequency-based substructuring (FBS) is a strong tool for coupling individual substructures in the frequency domain to obtain predictions of the coupled response. A high-fidelity hybrid model can be obtained using FBS experimental measurements combined with an underlying numerical model. However, if the experimental sensor and impact positions are not exactly as numerically defined, the hybrid model will propagate errors. In this work, we suggest a method for correcting the position and direction of an impact/sensor to obtain more robust hybrid models. The framework is initially implemented on numerical data to investigate how direction or position can be detected. It is also tested on experimental data of a beam to validate the framework’s applicability in practice.