Modal correction methods in acoustic reliability analysis of vehicles

This article discusses some of the vibro-acoustic design methods available that include the effects of model parameter uncertainty in the low-frequency response analysis process. The emphasis is on uncertain model parameters that are represented probabilistically. The so-called "modal correction method" is reviewed, where the effects of physical structural modifications are estimated by rapid resolution of the modal equations of motion. The accuracy of the modal correction method in the context of uncertainty analysis is discussed as well. The application of CDHNAO software for the analysis of uncertain structures is discussed. These methods include Monte Carlo analysis, first-order sensitivity (FOSM), and first-order reliability analysis (FOR). An approach to stochastic optimization and its application to a representative vibro-acoustic design using several different methods is presented.