Hybrid Substructure Assembly Techniques for Efficient and Robust Optimization of Additional Structures in Late Phase NVH Design: A Comparison

  • Benjamin KammermeierEmail author
  • Johannes Mayet
  • Daniel J. Rixen
Conference paper
Part of the Conference Proceedings of the Society for Experimental Mechanics Series book series (CPSEMS)


In certain circumstances, not all desired NVH properties of a given mechanical structure, e.g. a vehicle, are satisfied at the end of a development process. In this situation, NVH properties of an existing structure must be improved while extensive changes of this structure are not practicable. Consequently, additional components such as mass dampers are included to improve the NVH properties. The arising task is to determine the optimal configuration of these additional components. If one assumes that no valid or accurate simulation model of the underlying structure exists, a hybrid substructuring approach is essential. The existing structure is measured at the required positions, the additional structures are modeled virtually, subsequently they are combined to a hybrid assembly. The optimization includes the repeated evaluation of such an hybrid assembly. In this contribution two major strategies are regarded: frequency based substructuring (FBS) and state-space substructuring (SSS). The possibly large number of evaluations imposes a greater demand on the computational efficiency compared to onetime assemblies. Furthermore, properties concerning the robustness towards measurement noise of the assembly technique play an important role. Based on a common notation for both assembly techniques, the relevant properties—efficiency and robustness—are compared on a numerical example.


Hybrid substructuring Frequency-based substructuring State-space substructuring System identification Frequency response estimation 


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Copyright information

© Society for Experimental Mechanics, Inc. 2020

Authors and Affiliations

  • Benjamin Kammermeier
    • 1
    • 2
    Email author
  • Johannes Mayet
    • 2
  • Daniel J. Rixen
    • 1
  1. 1.Faculty of Mechanical EngineeringTechnical University of MunichGarchingGermany
  2. 2.Forschungs- und Innovationszentrum FIZBMW GroupMünchenGermany

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