An Efficient Implementation of Transonic Aeroelastic Tailoring based on a Reduced-Order Model using Structural Dynamic Reanalysis Method

2018 ◽  
Author(s):  
Li Dongfeng ◽  
Chunlin Gong ◽  
Yixing Wang ◽  
Chen Gang ◽  
Andrea Da Ronch ◽  
...  
Keyword(s):  
Efficient Implementation ◽  
Reduced Order Model ◽  
Order Model ◽  
Structural Dynamic ◽  
Reduced Order ◽  
Aeroelastic Tailoring ◽  
Dynamic Reanalysis

Reduced-Order Modeling of Extreme Speed Turbochargers

2021 ◽  
Author(s):  
David W. Fellows ◽  
Daniel J. Bodony ◽  
Ryan C. McGowan
Keyword(s):  
Fluid Dynamic ◽  
Lagrange Equation ◽  
Structural Response ◽  
Numerical Data ◽  
Forced Response ◽  
Reduced Order Model ◽  
Order Model ◽  
Structural Dynamic ◽  
Reduced Order ◽  
And Performance

Abstract In order to improve their efficiency and performance, aircraft intermittent combustion engines often incorporate turbochargers that are adapted from ground-based applications. These turbochargers experience conditions outside of their design operating envelope and are found to experience high-cycle fatigue brought on by aerodynamically-induced blade resonances. The onset of fluid-structural interactions, such as flutter and forced response, in turbochargers at these conditions has not been extensively studied. A reduced-order model of the aeroelastic response of the turbine is developed using the Euler-Lagrange equation informed by numerical data from uncoupled computational fluid dynamic (CFD) and computational structural dynamic (CSD) calculations. The structural response of the reduced-order model is derived from a method of assumed modes approach. The unsteady fluid response is described by a modified version of piston theory as a first step towards including inhomogeneous aerodynamic forcing. Details of the reduced order model are given. The capability of the reduced-order model to predict the presence of flutter from a subset of the uncoupled numerical simulation data is discussed.

Model Order Reduction of Transmission Line Model

2020 ◽  
Vol 19 ◽  
Keyword(s):  
Transmission Line ◽  
Large Scale ◽  
Original System ◽  
Reduced Order Model ◽  
Benchmark Problems ◽  
Transmission Line Model ◽  
Order Model ◽  
Line Model ◽  
Reduced Order ◽  
Numerical Effort

Transmission Line model are an important role in the electrical power supply. Modeling of such system remains a challenge for simulations are necessary for designing and controlling modern power systems.In order to analyze the numerical approach for a benchmark collection Comprehensive of some needful real-world examples, which can be utilized to evaluate and compare mathematical approaches for model reduction. The approach is based on retaining the dominant modes of the system and truncation comparatively the less significant once.as the reduced order model has been derived from retaining the dominate modes of the large-scale stable system, the reduction preserves the stability. The strong demerit of the many MOR methods is that, the steady state values of the reduced order model does not match with the higher order systems. This drawback has been try to eliminated through the Different MOR method using sssMOR tools. This makes it possible for a new assessment of the error system Offered that the Observability Gramian of the original system has as soon as been thought about, an H∞ and H2 error bound can be calculated with minimal numerical effort for any minimized model attributable to The reduced order model (ROM) of a large-scale dynamical system is essential to effortlessness the study of the system utilizing approximation Algorithms. The response evaluation is considered in terms of response constraints and graphical assessments. the application of Approximation methods is offered for arising ROM of the large-scale LTI systems which consist of benchmark problems. The time response of approximated system, assessed by the proposed method, is also shown which is excellent matching of the response of original system when compared to the response of other existing approaches .

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