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The dynamic behavior of jointed assemblies exhibiting friction nonlinearitiesfeatures amplitude-dependent dissipation and stiffness. To develop numericalsimulations for predictive and design purposes, macro-scale High FidelityModels (HFMs) of the contact interfaces are required. However, the highcomputational cost of such HFMs impedes the feasibility of the simulations. Tothis end, we propose a model-driven method for constructing hyper-reduced ordermodels of such assemblies. Focusing on steady-state analysis, we use theMulti-Harmonic Balance Method (MHBM) to formulate the equations of motion infrequency domain. The reduction basis is constructed through solving a set ofvibration problems corresponding to fictitious interface conditions.Subsequently, a Galerkin projection reduces the order of the model.Nonetheless, the necessary fine discretization of the interfaces represents abottleneck for achieving high speedups. For this reason, we implement anadapted Energy Conserving Weighing and Sampling (ECSW) technique for HyperReduction (HR), thereby allowing significant speedups for meshes of arbitraryfineness. This feature is particularly advantageous since analysts typicallyencounter a trade-off between accuracy and computational cost when deciding onthe mesh size, whose estimation is particularly challenging for problems ofthis type. To assess the accuracy of our method without resorting to the HFsolution, we propose an error indicator with thresholds that have provenreliable in our analyses. Finally, the accuracy and efficiency of the methodare demonstrated by two case studies.

A Reduced Order Model for Joint Assemblies by Hyper-Reduction and Model-Driven Sampling