Summary: Many industrial structures are represented by models with a large number of degrees of freedom, thus making their use complex and costly. Model order reduction alleviates this problem by elaborating lower-dimensional models that satisfy some properties of the refined model. We present a model order reduction procedure based on the concept of selective sensitivity. This reduction method has the property of preserving energies and static or dynamic behaviors of the refined model in the reduced model while preserving the essence of its topology.