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In the development and manufacture of vehicle components and systems, it is often necessary to quickly identify optimal design modifications for mitigating noise and vibration problems to meet the production schedule. To address this need, experimental techniques for determining the sensitivity of forced vibration response to changes in mass, damping or stiffness properties are of great use. In order to distinguish physical changes in the system from nonlinear input-output distortion, experimental techniques for identifying nonlinear input-output models in mechanical systems are also needed. The use of experimental sensitivity measurements and analyses for studying linear and nonlinear forced vibration data is examined in this work. Embedded sensitivity functions are first used to identify design modifications for reducing a vibration resonant problem.

The use of numerical models as basis to assemble or modify all kind of new structures is increasing over the last years. This has as benefit that it reduces the number of expensive, physical prototypes. These numerical models however must be verified and validated against measured data. Updating is generally needed to guarantee accurate correspondence with reality. This paper focuses on an exhaust. It describes the different steps of the complete process from the acquisition till the updating. On the measurement side, some typical acquisition measures and an efficient approach to handle (slightly) inconsistent data sets is explained. On the numerical side, it is investigated how to achieve the final updated exhaust with physical relevant characteristics.