Identification of support parameters in elastodynamics using genetic algorithms

Abstract

The objective of this work is to perform an assessment of the identification of mount parameters of vibratory systems using genetic algorithms. Two methodologies are used: in the first one, linear and non-linear support parameters are identified from the time-domain responses. In the second one, the parameters are identified considering a sub-structure coupling technique using frequency response functions. Applications to numerically simulated structures are performed. Based on numerical simulation examples, the identification method is appraised in terms of the accuracy of the obtained solutions and robustness to random noise present in the used data.