Hybrid modeling is a common technique used for the development of substructured system models. The technique is useful for both experimental and analytical models. However, in both cases, the accuracy of the technique may he significantly affected by rotational degrees of freedom for certain types of system models. This paper investigates the sensitivity of this approach to the accuracy of the rotational degree of freedom. Examples are shown to illustrate that the technique is much more sensitive to truncation of the rotational degrees of freedom than the translational degrees of freedom. Explanation of this effect is simply shown through system modification equations.
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