System equivalent model mixing. (15th May 2018)

• Record Type: Journal Article
• Authors: Klaassen, Steven W.B.; van der Seijs, Maarten V.; de Klerk, Dennis
• Is Part Of: Mechanical systems and signal processing. Volume 105(2018)
• Page Start: 90
• Page End: 112
• Publication Date: 2018-05-15
• Subjects: System equivalent model mixing -- Hybrid model -- Dynamic substructuring -- Frequency based substructuring -- Model expansion -- Trust function; Structural dynamics -- Periodicals; Vibration -- Periodicals; Constructions -- Dynamique -- Périodiques; Vibration -- Périodiques; Structural dynamics; Vibration; Periodicals; 621
• DOI: 10.1016/j.ymssp.2017.12.003
• Languages: English
• ISSNs: 0888-3270

Abstract

Highlights: The paper introduced a new method called System Equivalent Model Mixing. The theory is thoroughly explained and several extensions are provided. A physical interpretation and comparison to other techniques is provided. A practical test-case validates the method. Abstract: This paper introduces SEMM: a method based on Frequency Based Substructuring (FBS) techniques that enables the construction of hybrid dynamic models. With System Equivalent Model Mixing (SEMM) frequency based models, either of numerical or experimental nature, can be mixed to form a hybrid model. This model follows the dynamic behaviour of a predefined weighted master model. A large variety of applications can be thought of, such as the DoF-space expansion of relatively small experimental models using numerical models, or the blending of different models in the frequency spectrum. SEMM is outlined, both mathematically and conceptually, based on a notation commonly used in FBS. A critical physical interpretation of the theory is provided next, along with a comparison to similar techniques; namely DoF expansion techniques. SEMM's concept is further illustrated by means of a numerical example. It will become apparent that the basic method of SEMM has some shortcomings which warrant a few extensions to the method. One of the main applications is tested in a practical case, performed on a validated benchmark structure; it will emphasize the practicality of the method.