M.Sc. Philipp Edler
Ruhr University Bochum
Institute for Structural Mechanics
IC / 6 / 165
Universitätsstraße 150
44801 Bochum

Email: Philipp.Edler@rub.de
Tel: 0234 / 32-29069

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Short CV


Since 2017 Research associate at the institute for structural mechanics at the Ruhr University Bochum
2011 - 2017 Bachelor- and master degree in civil engineering, structural engineering (numerical analysis of structures), at the Ruhr University Bochum

Research


Optimization approaches for reinforced concrete structures considering polymorphic uncertainties

  • Efficient and Adaptive Optimization Algorithms with Polymorphic Uncertain Data
  • Quantification and Modeling of Uncertaint Data
  • Surrogate Models and Machine Learning (Artificial Neural Networks, Support Vector Machine)
  • Numerical Simulation with Uncertain Data


Lectures


  • Lineare Finite-Elemente-Methoden


Publications


Scientific Publications in Refereed Journals

[ 1 ] S. Freitag, P. Edler, K. Kremer, and G. Meschke
Multilevel surrogate modeling approach for optimization problems with polymorphic uncertain parameters
International Journal of Approximate Reasoning, 119:81--91, 2020
Special issue on Computing with confidence
DOI ]
[ 2 ] M. Drieschner, Y. Petryna, S. Freitag, P. Edler, A. Schmidt, and T. Lahmer
Decision making and design in structural engineering problems under polymorphic uncertainty
Engineering Structures, 2020
in review
[ 3 ] M. Mäck, I. Caylak, P. Edler, S. Freitag, M. Hanss, R. Mahnken, G. Meschke, and E. Penner
Optimization with constraints considering polymorphic uncertainties
Surveys for Applied Mathematics and Mechanics (GAMM-Mitteilungen), 42(1):e201900005, 1--12, 2019
Special Issue: Polymorphic Uncertainty Modelling for Numerical Design of Structures -- Part I
DOI ]
[ 4 ] K. Kremer, P. Edler, N. Miska, F. Leichsenring, D. Balzani, S. Freitag, W. Graf, M. Kaliske, and G. Meschke
Modeling of structures with polymorphic uncertainties at different length scales
Surveys for Applied Mathematics and Mechanics (GAMM-Mitteilungen), 42(1):e201900006, 1--18, 2019
Special Issue: Polymorphic Uncertainty Modelling for Numerical Design of Structures -- Part I
DOI ]
[ 5 ] P. Edler, S. Freitag, K. Kremer, and G. Meschke
Optimization approaches for the numerical design of structures under consideration of polymorphic uncertain data
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B: Mechanical Engineering, 5(4):041013 (12 pages), 2019
DOI ]
[ 6 ] S. Freitag, P Edler, K. Kremer, M. Hofmann, and G. Meschke
Optimization approaches for durable reinforced concrete structures considering interval and stochastic parameter uncertainty
Proceedings in Applied Mathematics and Mechanics, 18(1):1--4, 2018
DOI ]

Scientific Publications in Conference Proceedings

[ 7 ] S. Freitag, S. Peters, P. Edler, and G. Meschke
Structural optimization under polymorphic uncertainties using artificial neural networks
In Proceedings of the 9th International Workshop on Reliable Engineering Computing (REC 2021), Taormina, 2021
abstract accepted
[ 8 ] S. Freitag, P. Edler, S. Roskosch, and G. Meschke
Artificial neural network surrogate modeling for structural optimization under polymorphic uncertainty
In 14th World Congress on Computational Mechanics (WCCM) and ECCOMAS Congress 2020, Paris, 2021
abstract accepted
[ 9 ] S. Freitag, S. Peters, P. Edler, and G Meschke
Artificial neural networks for topology optimization considering polymorphic uncertainty
In 6th GAMM AG Data Workshop -- Data-driven Modeling and Numerical Simulation of Microstructured Materials, pages 7--8, online, 2020
[ 10 ] S. Freitag, P. Edler, K. Kremer, M. Hofmann, and G. Meschke
Minimierung von Rissweiten in Stahlbetontragwerken unter Berücksichtigung polymorph unscharfer Parameter
In M. Bischoff, M. von Scheven, and B. Oesterle, editors, Baustatik-Baupraxis 14, pages 723--730. Universität Stuttgart, 2020
DOI ]
[ 11 ] P. Edler, S. Freitag, and G. Meschke
Combination of shifted interval method and multilevel surrogate modelling strategy for optimization problems considering polymorphic uncertainties
In 7th International Symposium on Reliability Engineering and Risk Management (ISRERM 2020), Beijing, 2020
paper accepted
[ 12 ] K. Kremer, P. Edler, S. Freitag, and G. Meschke
Sub-modeling approach to investigate the cracking behavior of reinforced concrete structures considering polymorphic uncertainty
In Proceedings of the ECCOMAS Thematic Conference -- Computational Methods in Multi-Scale, Multi-Uncertainty and Multi-Physics Problems (CM4P), pages 27--28, Porto, 2019
[ 13 ] S. Freitag, P. Edler, K. Kremer, M. Hofmann, and G. Meschke
Optimization of structures under consideration of polymorphic uncertain parameters
In 5th International Conference on Soft Computing and Optimization in Civil, Structural and Environmental Engineering (CIVIL-COMP-OPTI 2019), Riva del Garda, 2019
[ 14 ] S. Freitag, K. Kremer, P. Edler, M. Hofmann, and G. Meschke
Structural reliability and durability assessment of reinforced concrete structures
In M. Beer and E. Zio, editors, Proceedings of the 29th European Safety and Reliability Conference (ESREL 2019), pages 2229--2236, Hannover, 2019
DOI ]
[ 15 ] P. Edler, S. Freitag, K. Kremer, M. Hofmann, and G. Meschke
Optimization of reinforced concrete structures under consideration of scale bridging uncertainties
In M. Papadrakakis, V. Papadopoulos, and G. Stefanou, editors, Proceedings of the 3rd ECCOMAS Thematic Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019), Crete, 2019
[ 16 ] P. Edler, S. Freitag, K. Kremer, and G. Meschke
Optimization of durability performance of reinforced concrete structures under consideration of polymorphic uncertain data
In Proceedings of the joint ICVRAM ISUMA UNCERTAINTIES conference, pages 1--19, Florianopolis, Brazil, April 2018
.PDF ]
[ 17 ] K. Kremer, P. Edler, S. Freitag, M. Hofmann, and G. Meschke
Multiscale deterioration modelling of reinforced concrete structures considering polymorphic uncertainties
In E. Schlangen, G. de Schutter, B. Šavija, H. Zhang, and C. Romero Rodriguez, editors, Proceedings of the Symposium on Concrete Modelling -- CONMOD2018, 72th RILEM-week, pages 281--284, TU Delft, Netherlands, 2018. RILEM Publications S.A.R.L., Paris
[ 18 ] K. Kremer, P. Edler, S. Freitag, M. Hofmann, and G. Meschke
Numerical durability simulation of reinforced concrete structures under consideration of polymorphic uncertain data
In R. Caspeele, L. Taerwe, and D. M Frangopol, editors, Life-Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision, Proceedings of the Sixth International Symposium on Life-Cycle Civil Engineering (IALCCE 2018), pages 1089--1096, Ghent, 2018
Taylor and Francis
[ 19 ] S. Freitag, P. Edler, K. Kremer, and G. Meschke
Optimization with polymorphic uncertainty models for the design of durable reinforced concrete structures
In Proceedings of the 13th World Congress on Computational Mechanics (WCCM 2018), New York, 2018
[ 20 ] S. Freitag, P Edler, K. Kremer, and G. Meschke
Surrogate modelling for solving optimization problems with polymorphic uncertain data
In Proceedings of the 8th International Workshop on Reliable Engineering Computing (REC 2018), pages 31--39, Liverpool, 2018
.pdf ]