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The purpose of this study is to introduce ANN-based software for the fastevaluation of rotordynamics in the context of robust and integrated design. Itis based on a surrogate model made of ensembles of artificial neural networksrunning in a Bokeh web application. The use of a surrogate model has sped upthe computation by three orders of magnitude compared to the current models.ARRID offers fast performance information, including the effect ofmanufacturing deviations. As such, it helps the designer to make optimal designchoices early in the design process. The designer can manipulate the parametersof the design and the operating conditions to obtain performance information ina matter of seconds.

ARRID: ANN-based Rotordynamics for Robust and Integrated Design