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Institute of Engineering and Computational Mechanics

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Markus Mäck, M.Sc.

Address Markus Mäck
Institute of Engineering and Computational Mechanics
University of Stuttgart
Pfaffenwaldring 9
70569 Stuttgart, Germany
Office Pfaffenwaldring 9, 3rd Floor
Room 3.101
Phone
Fax
+49 711 685-69866
+49 711 685-66400
Email markus.maeck@itm.uni-stuttgart.de


Field of Research

Publications

black: published, green: accepted for publication, orange: submitted for publication
  • Mäck, M.; Hanss, M.: Efficient Possibilistic Uncertainty Analysis of a Car Crash Scenario Using a Multi-Fidelity Approach.
    ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B: Mechanical Engineering (2018).

  • Mäck, M.; Hanss, M.: Uncertainty Analysis of a Car Crash Scenario Using a Possibilistic Multi-Fidelity Scheme.
    Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering UNCECOMP 2019, Crete (Greece), June 24-26 2019.

  • Hose, D.; Mäck, M.; Hanss, M.: On Probability-Possibility Consistency in High-Dimensional Propagation Problems.
    Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering UNCECOMP 2019, Crete (Greece), June 24-26 2019.

  • Mäck, M.; Caylak, I.; Edler, P.; Freitag, S.; Hanss, M.; Mahnken, R.; Meschke, G.; Penner, E.: Optimization with constraints considering polymorphic uncertainties.
    GAMM-Mitteilungen, 2019.
    DOI: https://doi.org/10.1002/gamm.201900005

  • Biehler, J.; Mäck, M.; Nitzler, J.; Hanss, M.; Koutsourelakis, P.-S.; Wall, W. A.: Multi-Fidelity Approaches for Uncertainty Quantification.
    GAMM-Mitteilungen, 2019.
    DOI: https://doi.org/10.1002/gamm.201900008

  • Hose, D.; Mäck, M.; Hanss, M.: Robust Optimization in Possibility Theory.
    ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B: Mechanical Engineering (2018).

  • Mäck, M.; Hanss, M.: A Multi-fidelity Approach for Possibilistic Uncertainty Analysis.
    Proceedings of the 7th International Conference on Uncertainties in Structural Dynamics USD2018, KU Leuven, Belgium, September 2018.

  • Hose, D; Mäck, M.; Hanss, M.: A Possibilistic Approach to the Optimization of Uncertain Systems.
    Proceedings of the 3rd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2018, and the 7th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2018. Florianopolis, SC Brazil, April 8-11 2018.
    [.pdf]

  • Hanss, M.; Mäck, M.: Certainly uncertain - the charm of fuzzy predictions.
    Procedia Engineering 199: 48-55, 2017.
    DOI: https://doi.org/10.1016/j.proeng.2017.09.149

  • Mäck, M.; Hose, D; Hanss, M.: On Using Fuzzy Arithmetic in Optimization Problems with Uncertain Constraints.
    Proceedings in Applied Mathematics and Mechanics, 31 May 2017.
    DOI: https://doi.org/10.1002/pamm.201710017

  • Mäck, M.; Hanss, M.: An Approach to Robust Design of a Crumple-Zone Structure Using Fuzzy Arithmetic.
    Proceedings of the UNCECOMP 2017, Rhodes Island, Greece, 2017.
    DOI: https://doi.org/10.7712/120217.5369.16837

  • Mäck, M.: Verzahnungsmodellierung, Master Thesis.
    Karlsruhe: Karlsruhe Institute of Technology (KIT), Institute of Engineering Mechanics, 2016.

Supervised Studentthesis

  • On different methods for the efficient solution of the α-cut optimization, project work. (in progress)
    Institute of Engineering and Computational Mechanics, University of Stuttgart, 2018.

  • STUD 486: Quantifizierung von Unsicherheiten in vereinfachten mechanischen Ersatzsystemen, student thesis.
    Institute of Engineering and Computational Mechanics, University of Stuttgart, 2018.
    In co-supervision with Dominik Hose, M.Sc.

  • STUD 484: Model Updating of Mechanical Systems Under Polymorphic Uncertainties, student thesis.
    Institute of Engineering and Computational Mechanics, University of Stuttgart, 2018.
    In co-supervision with Dominik Hose, M.Sc.

  • SA 020: Robuste Bilderkennung mithilfe von Clustering-Methoden unter Berücksichtigung von Unsicherheiten, project work.
    Institute of Engineering and Computational Mechanics, University of Stuttgart, 2017.
    In co-supervision with Dipl.-Math. Dennis Grunert

  • STUD 478: Parametric Structure Optimization of a Crumple Zone Under Consideration of Uncertainties, student thesis.
    Institute of Engineering and Computational Mechanics, University of Stuttgart, 2017.

  • MSC 250: Investigations on the Optimization of Multibody Systems in the Presence of Uncertainty, master thesis.
    Institute of Engineering and Computational Mechanics, University of Stuttgart, 2017.

Talks

  • October 10th, 2018: Annual Meeting SPP1886, Udine, Italy
    "Robust Design of Energy-Absorbing Crumple-Zone Structures Considering Uncertainties - Optimization and Modeling"

  • September 18th, 2018: ISMA-USD, Leuven, Belgium
    "A Multi-fidelity Approach for Possibilistic Uncertainty Analysis"

  • May 28th, 2018: Statusseminar ITM, Bad-Herrenalb
    "Towards Efficient Possibilistic Uncertainty Quantification - Or: How Low Can You Go?"

  • December 4th, 2017: Meeting Komplex B SPP1886, Dresden,
    "How to Handle Dependent Variables in Possibilistic Uncertainty Analysis"

  • October 12th, 2017: Annual Meeting SPP1886, München,
    "Robust Design of Energy-Absorbing Crumple-Zone Structures Considering Uncertainties - Current State and Outlook"

  • June 27th, 2017: Weierstraß-Institute (WIAS), Berlin,
    "Numerical Implementation of Fuzzy Arithmetic in Uncertainty Analysis"

  • June 16th, 2017: UNCECOMP 2017, Rhodes, Greece,
    " An Approach to Robust Design of a Crumple-Zone Structure Using Fuzzy Arithmetic"

  • May 23th, 2017: Statusseminar ITM, Monbachtal
    "Uncertainty Modeling in Crash Analysis""

  • May 12th, 2017: Vernetzungsworkshop SPP1886, Dresden,
    "Robust Design of Energy-Absorbing Crumple-Zone Structures Considering Uncertainties"

  • June 29th, 2016: Statusseminar ITM, Monbachtal,
    "Road to SPP 1886 - Current State of FAMOUS"

Teaching

Additional Services at the Institute

  • Maintenance of the software package FAMOUS.