Domestic research projects


Research projects (co)funded by the Slovenian Research Agency.


  • Member of University of Ljubljana: UL Faculty of Mechanical Engineering
  • Project code: L2-1837
  • Project title: Hybrid Dynamic Substructuring in the Industry of Home Appliances
  • Period: 01.07.2019 - 30.06.2022
  • Range on year: 0,83 FTE
  • Head: prof. dr. Miha Boltežar
  • Research activity: Engineering sciences and technologies 
  • Research Organisation: Link
  • Researchers: Link
  • Citations for bibliographic records: Link

Structural dynamics analysis is an essential step in the design of high-tech mechanical systems. Complex products such as home appliances are designed in an increasingly modular fashion, combining in-house-developed products together with outsourced components. This generally requires the creation of virtual dynamics models for each component in the system, which can be assembled or “substructured” to evaluate the dynamic properties of the complete product. Efficient substructuring techniques accelerate the finite element analysis and enable the vibro-acoustic optimization of complex systems like home appliances.  

Numerical substructuring methods have been well accepted over the last decades, however with increasing product complexity the question arises as to how accurately, using only numerical models, the actual behavior of the individual components of the whole system can be represented. In recent years, the structural dynamics community showed a renewed interest in the structure coupling techniques, especially in the context of experimental applications. This leads to an increase in the experimental modeling of relatively complex structures. Yet stand-alone experimental models are strongly influenced by essentially independent and often imperfect measurements.  Therefore, its application to complex real-life engineering structures is often hindered by the method’s notorious sensitivity to experimental errors. The choice between numerical and experimental modeling is made for individual components based on strengths and weaknesses of the respective modeling approach. This choice presents a compromise based on which a selection between the numerical and experimental modeling is made individually for each component of the system. Hence, the research activities in last years are orientated towards the incorporation of strong suits from different modeling techniques into a single model of given component. This is referred to as a mixing of multiple equivalent models (numerical and experimental) of the selected component into a hybrid model using substructure coupling techniques. This represents a hybrid and therefore very powerful modeling methodology that would implement an “as is” description of the experimental model and the consistency associated with a numerical model.

The phases of the project and their realization:

WP1: Developing the experimental DS methods and addressing the data contamination 

Task A1: Survey of existing methods within experimental DS framework and identification of the most efficient and accurate methods. (100%)

Task A2: Extension of experimental DS methods with inclusion of rotational degrees of freedom (100%)

Task A3: Addressing the data contamination in measured rotational degrees of freedom (100%)

Task A4: Inclusion of rotational degrees of freedom in experimental DS methods (10%)


WP2: Development of a hybrid DS formulation and modeling of the interface problem

Task B1: Formulation of currently established hybrid methodology including rotational degrees of freedom.(0%)

Task B2: Development of a methodology for mixing of equivalent numerical and experimental models in frequency and modal domain (0%)

Task B3: Modeling of the interface problem (accounting for joint flexibility). (0%)

WP3: Introduction of hybrid-modeling methodology in the V-model life cycle of product development

Task C1:   Application of developed DS methods to model components of home appliances. (0%)

Task C2:  Interface models between components in home appliances. (0%)

Task C3:  Applying hybrid DS approach for dynamic modeling of home appliances. (0%)

Task C4: Hybrid DS modeling in the early stage of product development. (0%)