Tim Albring


Chair for Scientific Computing
TU Kaiserslautern
Paul-Ehrlich-StraĂźe 34/Geb. 36
D-67663 Kaiserslautern

Email: tim.albring@scicomp.uni-kl.de
Room: 36-410
Tel: +49 (0) 631 205 5639

Research Interests

  • Shape Optimization
  • Computational Fluid Dynamics
  • Algorithmic Differentiation
  • Discrete Adjoint Methods
  • One-Shot Methods

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Talks/Presentations


  • Development of a Consistent Discrete Adjoint Solver for the SU2 Framework, 16th Euro-AD Workshop, 08.12.14 – 09.12.14, Jena, Germany
  • A Consistent and Robust Discrete Adjoint Solver for the SU2 Framework – Validation and Application, 19. DGLR-Fachsymposium der STAB, 04.11.14 – 05.11.14, Munich, Germany
  • A Consistent and Robust Discrete Adjoint Solver for the SU2 Framework , SIAM CSE 2015, 18.03.2015, Salt Lake City, USA
  • Development of a Consistent Discrete Adjoint Solver in an Evolving Aerodynamic Design Framework, AIAA Aviation 2015, 25.06.2015, Dallas, USA
  • On the Influence of Approximations used in Discrete Adjoint Methods for Optimization with the Reynolds-Averaged Navier-Stokes Equations, DMV-GAMM Annual Meeting 2016, 25.04.2016, Braunschweig, Germany
  • Efficient Aerodynamic Design using the Discrete Adjoint Method in SU2, AIAA Aviation 2016, 13.06.2016, Washington D.C., USA
  • Adjoint-Based Optimization of Multi-Stage Turbomachines using SU2, 11th ASMO UK/ISSMO/NOED2016, 19.07.2016, Munich, Germany
  • Assessment of the Recursive Projection Method for the Stabilization of Discrete Adjoint Solvers, AIAA Aviation Forum 2017, 06.06.2017, Denver, CO, USA

Publications


2021

S. Schotthöfer, B.Y. Zhou, Tim Albring, N.R. Gauger

Regularization for Adjoint-Based Unsteady Aerodynamic Optimization Using Windowing Techniques Journal Article

In: AIAA Journal, vol. 59, no. 7, 2021.

Links | BibTeX

B.Y. Zhou, T. Albring, N.R. Gauger, C.R. da Silva, T. Economon, J.J. Alonso

Efficient Airframe Noise Reduction Framework via Adjoint-Based Shape Optimization Journal Article

In: AIAA Journal , vol. 59, no. 2, pp. 580-595, 2021.

Links | BibTeX

2020

B. Y. Zhou, T. Albring, N. R. Gauger, C. R. da Silva, T. Economon, J. J. Alonso

Efficient Airframe Noise Reduction Framework via Adjoint-Based Shape Optimization Journal Article

In: AIAA Journal, 2020.

Links | BibTeX

S. Schotthöfer, B. Y. Zhou, Tim A. Albring, N. R. Gauger

Windowing Regularization Techniques for Unsteady Aerodynamic Shape Optimization Journal Article

In: AIAA 2020-3130, 2020.

Links | BibTeX

2019

M. Sagebaum, T. Albring, N.R. Gauger

High-Performance Derivative Computations using CoDiPack Journal Article

In: ACM Transactions on Mathematical Software (TOMS), vol. 45, no. 4, 2019.

Links | BibTeX

A. Niemöller, M. Meinke, W. Schröder, T. Albring, N.R. Gauger

Noise Reduction Using a Direct-Hybrid CFD/CAA Method Journal Article

In: AIAA 2019-2579, 2019.

Links | BibTeX

T. A. Albring, B. Y. Zhou, N. R Gauger

Challenges in Sensitivity Computations for (D) DES and URANS Journal Article

In: AIAA 2019-0169, 2019.

Links | BibTeX

2018

M. Sagebaum; T. Albring; N. R. Gauger

Expression templates for primal value taping in the reverse mode of algorithmic differentiation Journal Article

In: Optimization Methods and Software, vol. 33, no. 4-6, pp. 1207-1231, 2018.

Links | BibTeX

L. Kusch; T. Albring; A. Walther; N.R. Gauger

A one-shot optimization framework with additional equality constraints applied to multi-objective aerodynamic shape optimization Journal Article

In: Optimization Methods and Software, vol. 33, no. 4-6, pp. 694-707, 2018.

Links | BibTeX

R. Sanchez, T. Albring, R. Palacios, N. R. Gauger, T. D. Economon, J. J. Alonso

Coupled Adjoint-Based Sensitivities in Large-Displacement Fluid-Structure Interaction using Algorithmic Differentiation Journal Article

In: International Journal for Numerical Methods in Engineering, vol. 113, no. 7, pp. 1081–1107, 2018, (DOI 10.1002/nme.5700).

Links | BibTeX

A. Rubino; M. Pini; P. Colona; T. Albring; S. Nimmagadda; T. Economon; J. Alonso,

Adjoint-based fluid dynamic design optimization in quasi-periodic unsteady flow problems using a harmonic balance method Journal Article

In: Journal of Computational Physics, vol. 372, no. 1, pp. 220-235, 2018.

Links | BibTeX

2017

S. Vitale, T. Albring, M. Pini, N. R. Gauger, P. Colonna

Fully turbulent discrete adjoint solver for non-ideal compressible flow applications Journal Article

In: Journal of the Global Power and Propulsion Society, vol. 1, pp. 252-270, 2017, (https://doi.org/10.22261/JGPPS.Z1FVOI).

Links | BibTeX

T. Economon, J. J. Alonso, T. Albring, N. R. Gauger

Adjoint Formulation Investigations of Benchmark Aerodynamic Design Cases in SU2 Journal Article

In: AIAA 2017-4363, 2017.

BibTeX

T. Albring, T. Dick, N. R. Gauger

Assessment of the Recursive Projection Method for the Stabilization of Discrete Adjoint Solvers Journal Article

In: AIAA 2017-3664, 2017.

BibTeX

B. Y. Zhou, T. Albring, N. R. Gauger, C. Ilario, T. Economon, J. J. Alonso

Reduction of Airframe Noise Components Using a Discrete Adjoint Approach Journal Article

In: AIAA 2017-3658, 2017.

BibTeX

B.Y. Zhou, T. Albring, N.R. Gauger, C.R. Ilario da Silva, T.D. Economon, J. J. Alonso

A Discrete Adjoint Approach for Jet-Flap Interaction Noise Reduction Journal Article

In: AIAA 2017-0130, 2017.

BibTeX

R. Sanchez, R. Palacios, T. D. Economon, J. J. Alonso, T. Albring, N. R. Gauger

Optimal Actuation of Dielectric Membrane Wings using High-Fidelity Fluid-Structure Modelling Journal Article

In: AIAA 2017-0857, 2017.

BibTeX

M. Sagebaum; T. Albring; N. R. Gauger

High-Performance Derivative Computations using CoDiPack Journal Article

In: arXiv preprint arXiv:1709.07229, 2017.

Links | BibTeX

2016

B.Y. Zhou; T. Albring; N.R. Gauger

Optimal Flow Actuation for Separation Control and Noise Minimization Journal Article

In: Proceedings of 9th International Conference on Computational Fluid Dynamics, vol. ICCFD9-2016-191,, 2016.

BibTeX

M. Sagebaum; T. Albring; N.R. Gauger

Automated Generation of Performance Values for Algorithmic Differentiation Journal Article

In: Proc. Appl. Math. Mech., vol. 16, no. 1, pp. 863–864, 2016, (DOI: 10.1002/pamm.201610420).

BibTeX

T. Albring; M. Sagebaum; N.R. Gauger

Efficient Aerodynamic Design using the Discrete Adjoint Method in SU2 Journal Article

In: AIAA 2016-3518, 2016.

BibTeX

B.Y. Zhou; T. Albring; N.R. Gauger; C.R. Ilario da Silva; T.D. Economon; J. J. Alonso

An Efficient Unsteady Aerodynamic and Aeroacoustic Design Framework Using Discrete Adjoint Journal Article

In: AIAA 2016-3369, 2016.

BibTeX

T. Albring; M. Sagebaum; N. R. Gauger

A consistent and robust discrete adjoint solver for the SU2 framework – validation and application Journal Article

In: Notes on Numerical Fluid Mechanics and Multidisciplinary Design, vol. 132, pp. 77-86, 2016.

BibTeX

Kshitij Kulshreshtha; Sri Hari Krishna Narayanan; Tim Albring

A Mixed Approach to Adjoint Computation with Algorithmic Differentiation Book Chapter

In: Bociu, Lorena; D’esid’eri, Jean-Antoine; Habbal, Abderrahmane (Ed.): System Modeling and Optimization: 27th IFIP TC 7 Conference, CSMO 2015, Sophia Antipolis, France, June 29 – July 3, 2015, Revised Selected Papers, pp. 331–340, Springer International Publishing, Cham, 2016, ISBN: 978-3-319-55795-3.

Links | BibTeX

2015

B.Y. Zhou; T. Albring; N.R. Gauger; T. D. Economon; F. Palacios; J. J. Alonso

A Discrete Adjoint Framework for Unsteady Aerodynamic and Aeroacoustic Optimization Journal Article

In: AIAA 2015-3355, 2015.

BibTeX

T. Albring; B.Y. Zhou; N.R. Gauger; M. Sagebaum

An Aerodynamic Design Framework based on Algorithmic Differentiation Journal Article

In: ERCOFTAC Bulletin, vol. 102, pp. 10-16, 2015.

BibTeX

T. Albring; M. Sagebaum; N.R. Gauger

Development of a Consistent Discrete Adjoint Solver in an Evolving Aerodynamic Design Framework Journal Article

In: AIAA 2015-3240, 2015.

BibTeX

2014

T. Albring; M. Sagebaum; N.R. Gauger

A Consistent and Robust Discrete Adjoint Solver for the Stanford University Unstructured (SU2) Framework – Validation and Application Journal Article

In: Jahresbericht der Deutschen Strömungsmechanischen Arbeitsgemeinschaft STAB, pp. 40–41, 2014.

BibTeX

Projects


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