Dynamic model reduction using data-driven Loewner-framework applied to thermally morphing structures
| Autor: | Pablo A. Tarazaga, Austin A. Phoenix |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Engineering
Acoustics and Ultrasonics State-space representation Truncation business.industry Mechanical Engineering 02 engineering and technology 021001 nanoscience & nanotechnology Condensed Matter Physics Finite element method Data-driven Morphing 020303 mechanical engineering & transports 0203 mechanical engineering Mechanics of Materials Control theory Singular value decomposition Random vibration 0210 nano-technology Reduction (mathematics) business Algorithm |
| Zdroj: | Journal of Sound and Vibration. 396:274-288 |
| ISSN: | 0022-460X |
| DOI: | 10.1016/j.jsv.2017.01.039 |
| Popis: | The work herein proposes the use of the data-driven Loewner-framework for reduced order modeling as applied to dynamic Finite Element Models (FEM) of thermally morphing structures. The Loewner-based modeling approach is computationally efficient and accurately constructs reduced models using analytical output data from a FEM. This paper details the two-step process proposed in the Loewner approach. First, a random vibration FEM simulation is used as the input for the development of a Single Input Single Output (SISO) data-based dynamic Loewner state space model. Second, an SVD-based truncation is used on the Loewner state space model, such that the minimal, dynamically representative, state space model is achieved. For this second part, varying levels of reduction are generated and compared. The work herein can be extended to model generation using experimental measurements by replacing the FEM output data in the first step and following the same procedure. This method will be demonstrated on two thermally morphing structures, a rigidly fixed hexapod in multiple geometric configurations and a low mass anisotropic morphing boom. This paper is working to detail the method and identify the benefits of the reduced model methodology. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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