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TU Berlin

Inhalt des Dokuments

Saskia Bublitz, M.Sc.

Lupe

Research assistant (with teaching duties)

KWT-A 111

Tel. +49 30 31422494

Fax +49 30 314 26915

Researchgate

Office hours: All in-person office hours are postponed for now. Separate arrangements can be made by email.

Focus of my research:

Lupe

Analysis of how to efficiently solve large nonlinear algebraic equation systems by the use of:

  • Initialization methods (Interval arithmetic, Sampling, Multi-Start, see Figure above)
  • Preconditioning (Scaling, System decomposition, Equation reformulations)
  • Process parallelization
  • Debugging strategies

Further activities:

Lupe

Master's (MA) & Bachelor's (BA) Theses:

Currently supervised:

Sobczack, A.: "Comparison of the performance of general nonlinear solvers with and without a new hybrid initialization method", MA  

Jung, A.: "Kombination von Blockzerlegungsmethoden und Initialisierungsstrategien zur effizienten und robusten Lösung von großen, nichtlinearen Gleichungssystemen", BA

 

Completed:

Rajes, S. (2020): "Modellierung und Modellvalidierung des Hydrodealkylierungsprozesses", MA

Schönhof, M. (2019): "Datenkonsistenz in der Anlagenplanung mithilfe von Datenbankstrukturen zur ganzheitlichen technischen Dokumentation einer Anlage", MA

Bernal-Chaparro, D. E. (2019): "Model development of the oligomerization reaction kinetics of the Budimat plant located in Ludwigshafen am Rhein", MA

Kaminska, K. (2018) : "Weiterführende Untersuchungen zur verbesserten Entspannungsverdampfung von organischen Lösemitteln und niederviskosen Polymerlösungen"

Maaß, A. (2018):  "Informationsextraktion aus Rohrleitungs- und Instrumentenfließbildern mithilfe künstlicher Intelligentz", MA

Reixach, P. (2018): "Laboratory setup for the evaluation of COD removal in the metalworking wastewater treatment", MA

Publications & Talks:

Publications

Analysis and Decomposition for Improved Convergence of Nonlinear Process Models in Chemical Engineering
Zitatschlüssel Saskia
Autor S. Bublitz and E. Esche and G. Tolksdorf and V. Mehrmann and J.-U. Repke
Seiten 1503-1514
Jahr 2017
DOI 10.1002/cite.201700041
Journal Chemie Ingenieur Technik
Jahrgang 89
Nummer 11
Zusammenfassung Abstract Solving nonlinear equation systems as they occur in process simulation simultaneously, often fails due to ill?conditioned models or bad initialization. To counteract these issues two methods have been implemented in the web?based platform MOSAICmodeling. The Dulmage?Mendelsohn algorithm forms a block diagonal Jacobian matrix. In addition, the bordered block transformation identifies variables that need to be carefully initialized due to their great influence on the system. Both methods are applied on two process models and their convergence and sensitivity towards initialization is analyzed.
Link zur Publikation Download Bibtex Eintrag

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