4 edition of **Pseudo-time method for optimal shape design using the Euler equations** found in the catalog.

Pseudo-time method for optimal shape design using the Euler equations

- 266 Want to read
- 36 Currently reading

Published
**1995**
by Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, National Technical Information Service, distributor in Hampton, VA, [Springfield, Va
.

Written in English

**Edition Notes**

Other titles | Pseudo time method for optimal shape design using the Euler equations. |

Statement | Angelo Iollo, Geojoe Kuruvila, Shlomo Ta"asan. |

Series | ICASE report -- no. 95-59., NASA contractor report -- 198205., NASA contractor report -- NASA CR-198205. |

Contributions | Kuruvila, Geojoe., Ta"asan, Shlomo., Institute for Computer Applications in Science and Engineering. |

The Physical Object | |
---|---|

Format | Microform |

Pagination | 1 v. |

ID Numbers | |

Open Library | OL17141224M |

OCLC/WorldCa | 35518438 |

Full text of "Studying Turbulence Using Numerical Simulation Databases, 8. Proceedings of the Summer Program" See other formats. The final expression of Euler's equations, using the harmonic equilibrium method, is reduced to: ∗ + ∗ + ∗=0 () Using the discrete matrix of the Fourier transformation, the flow can be resolved more easily. Moreover, the method can be used not only to solve the Euler equations, but also to find a .

A solution to the time‐dependent Schrödinger equation is required in a variety of problems in physics and chemistry. In this chapter, recent developments of numerical and theoretical techniques for quantum wave packet methods efficiently describe the dynamics of molecular dynamics, and electronic dynamics induced by ultrashort laser pulses in atoms and molecules will be reviewed Author: Zhigang Sun. In Abstract Book – 1st International Seminar of SCOMA, number A4/ in Reports of the Department of Mathematical Information Technology, Series A, Collections, University of Jyv¨ askyl¨ a, Jyv¨ askyl¨ a, Yu. Kuznetsov. Mixed ﬁnite element method for diﬀusion equations on polygonal meshes with mixed cells. J. Numer.

An Optimization Based Domain Decomposition Method for Stochastic Optimal Control Problems. Jangwoon Lee*, University of Mary Washington Lee, Yonsei University Hwang, Yonsei University () Thursday January 5, , a.m a.m. AMS Contributed Paper Session on Ordinary Differential Equations. In finite element method are displacement interpolated within the finite elements as u = ∑ N i ui, v = ∑ N i vi, i w = ∑ N i wi, i () i where ui, vi, wi are nodal displacements and Ni are shape functions. Substituting these equations into expressions of Green’s strain components, we obtain 1 ε = .

You might also like

Golden holocaust

Golden holocaust

Proceedings of the Literary and Philosophical Society of Liverpool.

Proceedings of the Literary and Philosophical Society of Liverpool.

Dictionary of Greek & Roman Mythology

Dictionary of Greek & Roman Mythology

Lectures on minimal models and birational transformations of two dimensional schemes.

Lectures on minimal models and birational transformations of two dimensional schemes.

peoples war

peoples war

Orbit databases, SDC Search service

Orbit databases, SDC Search service

Bacterial chemotaxis as a model behavioral system

Bacterial chemotaxis as a model behavioral system

Words and the poet

Words and the poet

France, my country, through the disaster

France, my country, through the disaster

Ancient enemies

Ancient enemies

Busmans honeymoon

Busmans honeymoon

Get this from a library. Pseudo-time method for optimal shape design using the Euler equations. [Angelo Iollo; Geojoe Kuruvila; Shlomo Ta'asan; Institute for Computer Applications in Science and Engineering.].

Iollo, M.D. Salas, and S. Ta'asan. Shape optimization governed by the Euler equations using an adjoint method. Technical ReportICASE, Proceedings 14 th ICNMFD. Lecture notes in PhysicsSpringer Verlag.

Google ScholarCited by: 1. In all the applications of pseudo-time-stepping method mentioned in Chapters 7- 11, the state equations have been the Euler equations. In this chapter we extend the method to viscous compressible. In all the applications of pseudo-time-stepping method mentioned in Chapters 7- 11, the state equations have been the Euler equations.

In this chapter we extend the method to viscous compressible flow modeled by the Reynolds Averaged Navier- Stokes equations together with algebraic turbulence model of Baldwin and by: 8. In this paper we will restrict our attention to optimal shape design in 2D systems gov-erned by the Euler equations with discontinuities in the flow variables (an isolated normal shock wave).

() One-shot pseudo-time method for aerodynamic shape optimization using the Navier-Stokes equations. International Journal for Numerical Methods in Fluids() Solving Optimal Control Problem of Monodomain Model Using Hybrid Conjugate Gradient by: The paper deals with a numerical method for aerodynamic shape optimization using simultaneous pseudo-timestepping.

We have recently developed a method for the optimization problem in which stationary states are obtained by solving the pseudo-stationary system of equations representing state, costate, and design equations.

The method requires no additional globalization techniques in the Cited by: 9. M/~kinen and J. Toivanen, Optimal shape design for Helmholtz/potential flow problem using fictitious domain method, AIAA Paper CP, The 5th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Opti- mization,O.

Pironneau, Optimal shape design for elliptic systems, Springer-Verlag, Cited by: \(F \) is the key parameter in the discrete diffusion equation.

Note that \(F \) is a dimensionless number that lumps the key physical parameter in the problem, \(\dfc \), and the discretization parameters \(\Delta x \) and \(\Delta t \) into a single parameter.

Properties of the numerical method are critically dependent upon the value of \(F \) (see the section Analysis of schemes for. illustrate the full computational procedure, the evaluation of an individual set of parameters requires four steps: 1.

the computation of the composition of the mixture in the primary and secondary inlet, knowing the specific design variables; 2. the simplified CFD simulation, i.e., the resolution of the governing coupled equations for the flow.

The SD method was successfully extended to the Euler equations by Wang and Liu, and their collaborators, and to Navier–Stokes by May and Jameson, and Wang et al. May and Jameson obtained high-order convergence for shock waves in 1D with Cited by: An explicit method for the 1D diffusion equation.

Explicit finite difference methods for the wave equation \(u_{tt}=c^2u_{xx}\) can be used, with small modifications, for solving \(u_t = {\alpha} u_{xx}\) as well. The exposition below assumes that the reader is familiar with the basic ideas of discretization and implementation of wave equations from the chapter Wave equations.

This paper presents a finite volume method for the solution of the three dimensional, nonlinear ship wave problem. The method can be used to obtain both Euler and Navier-Stokes solutions of the flow field and the a priori unknown free surface location by coupling the free surface kinematic and dynamic equations with the equations of motion for the bulk flow.

This book will be useful for scientists and engineers who are looking for efficient numerical methods for PDE-constrained optimization problems. It will be helpful for graduate and Ph.D. students in applied mathematics, aerospace engineering, mechanical engineering, civil engineering and computational engineering during their training and research.

Author / Title: Jonas Muüller, Christina Schenk, Rainer Keicher, Dominik Schmidt, Volker Schulz and Kai Velten: Optimization of an Externally Mixed Biogas Plant Using a Robust CFD Method., Computers and Electronics in Agriculture, (in print) G.

Heidel, V. Khoromskaia, B. Khoromskij and V. Schulz: Tensor approach to optimal control problems with fractional d-dimensional elliptic operator. Vermeire B, Loppi N, Vincent P,Optimal Runge-Kutta schemes for pseudo time-stepping with high-order unstructured methods, Journal of Computational Physics, Vol:Pages:ISSN: In this study we generate optimal Runge-Kutta (RK) schemes forconverging the Artificial Compressibility Method (ACM) using dualtime-stepping with high-order unstructured spatial discretizations.

The book is organized in sections which cover almost the entire spectrum of modern research in this emerging field.

Indeed, even though the field of optimal control and optimization for PDE-constrained problems has undergone a dramatic increase of interest during the last four decades, a full theory for nonlinear problems is still lacking. Detailed analysis of the results reveals that pseudo-time steps adapt to element size/shape, solution state, and solution point location within each element.

Finally, results are presented for a turbulent 3D SD airfoil test case at Re=60, Time-dependent solutions to the incompressible Navier-Stokes equations are formulated in the ALE (Arbitrary Lagrangian-Eulerian) manner using the finite volume method and are performed in a time-marching manner using the pseudo-compressibility method, with special treatment in the conservation of mass and momentum both in space and in by: It serves as a useful reference for all interested in computational modeling of partial differential equations pertinent primarily to aeronautical applications.

The reader will find five survey articles on cartesian mesh methods, on numerical studies of turbulent boundary layers, on efficient computation of compressible flows, on the use of. Full text of "Surface Modeling, Grid Generation, and Related Issues in Computational Fluid Dynamic (CFD) Solutions" See other formats.Authors: S.

Kaessmair: Chair of Applied Mechanics, University of Erlangen-Nuremberg, Paul-Gordan-Str. 3, Erlangen, Germany: P. Steinmann: Chair of Applied Cited by: 5.Intersection point A forward-Euler integration Sub-increments Correction or return to the yield surface Backward-Euler return 6 9 5 1 General method 6 9 5 2 Specific plane-stress method Consistent.