A New Multivariate Interpolation Method for Large-scale Spatial Coupling Problems in Aeroelasticity

نویسندگان

  • Regine Ahrem
  • Armin Beckert
  • Holger Wendland
چکیده

In this contribution, a new and efficient multivariate interpolation scheme is presented which is designed for large-scale coupling problems in the field of numerical aeroelasticity. The scheme is based upon a local application of radial basis functions (RBFs). The new method is tested in several numerical aeroelastic computations, and compared to a competing, widely used global approach. The interpolation scheme is applied to a typical static aeroelastic problem, the prediction of the equilibrium of a generic elastic civil transport aircraft model in transonic fluid flow. The resulting coupled field problem containing the fluid and the structural state equations is solved by applying a partitioned solution procedure. The structure is represented by finite elements and the related equations are solved using a standard structural analysis code. The transonic fluid flow is described by the three-dimensional Euler equations, solved by an upwind scheme procedure, using the DLR τ -code.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An Adaptive Mesh Refinement Strategy with Conservative Space-Time Coupling for the Lattice-Boltzmann Method

A conservative lattice-Boltzmann method is presented for solving the time-dependent Navier-Stokes equations at low Mach numbers on lattices that are adaptively refined in space and time. A method for coupling the interfaces between grids at different resolutions was constructed following techniques established for finite-volume computational fluid dynamics methods. The effectiveness of the new ...

متن کامل

A New Compromise Decision-making Model based on TOPSIS and VIKOR for Solving Multi-objective Large-scale Programming Problems with a Block Angular Structure under Uncertainty

This paper proposes a compromise model, based on a new method, to solve the multi-objective large-scale linear programming (MOLSLP) problems with block angular structure involving fuzzy parameters. The problem involves fuzzy parameters in the objective functions and constraints. In this compromise programming method, two concepts are considered simultaneously. First of them is that the optimal ...

متن کامل

Presentation of K Nearest Neighbor Gaussian Interpolation and comparing it with Fuzzy Interpolation in Speech Recognition

Hidden Markov Model is a popular statisical method that is used in continious and discrete speech recognition. The probability density function of observation vectors in each state is estimated with discrete density or continious density modeling. The performance (in correct word recognition rate) of continious density is higher than discrete density HMM, but its computation complexity is very ...

متن کامل

Presentation of K Nearest Neighbor Gaussian Interpolation and comparing it with Fuzzy Interpolation in Speech Recognition

Hidden Markov Model is a popular statisical method that is used in continious and discrete speech recognition. The probability density function of observation vectors in each state is estimated with discrete density or continious density modeling. The performance (in correct word recognition rate) of continious density is higher than discrete density HMM, but its computation complexity is very ...

متن کامل

Spherical Methods for Spatial Interpolation: Review and Evaluation

Global change research has placed new demands on methods of spatial analysis. In particular, spherical methods for spatial interpolation are required when spatial analyses are performed over large areas of the Earth's surface. In this article, spherical spatial interpolation procedures are reviewed, compared, and evaluated. Three classesof spherical interpolants are evaluated in detail: distanc...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005