Publications

Samuel Burbulla, and Christian Rohde. A finite-volume moving-mesh method for two-phase flow in fracturing porous media. J. Comput. Phys., 111031, 2022. [PUMA: Finite Two-phase models Dynamic in methods from:brittalenz Fracture porous am media fracture Moving-mesh ians matrix aperture volume propagation Discrete flow algorithm] URL

Röck S. Verl A. Hoher, S.. A System Dynamic Model of a Complex Material Flow System for VirtualCommissioning: A System Dynamic Model of a Complex Material Flow System for VirtualCommissioning. --, 2011. [PUMA: based Real-time modelling, simulation, Material Physically ISW flow]

Christina Lienstromberg, Tania Pernas-Casta\ no, and Juan J. L. Velázquez. Analysis of a two-fluid Taylor-Couette flow with one non-Newtonian fluid. J. Nonlinear Sci., (32)2:Paper No. 24, 55, 2022. [PUMA: Lienstromberg iadm two-fluid from:elkepeter flow Taylor-Couette] URL

Christina Lienstromberg, Tania Pernas-Castano, and Juan J. L. Velázquez. Analysis of a two-fluid Taylor-Couette flow with one non-Newtonian fluid. J. Nonlinear Sci., (32)2:Paper No. 24, 55, 2022. [PUMA: Lienstromberg iadm two-fluid flow Taylor-Couette] URL

Christoph Kattmann, Krzysztof Rudion, and Stefan Tenbohlen. Clustering of smart meter data for data compression and fast power flow computation. CIRED 2015, 23rd International Conference and Exhibition on Electricity Distribution, Lyon, Frankreich, June 15-18, 2015, 2015. [PUMA: Compression Clustering Meter Computationsend:unibiblio Data Fast Smart Flow Power]

Daniel Contreras, and Krzysztof Rudion. Computing the feasible operating region of active distribution networks: Comparison and validation of random sampling and optimal power flow based methods. IET Generation, Transmission & Distribution, (15)10:1600-1612, May 2021. [PUMA: based methods sampling optimal networks: active Computing distribution random the Comparison of and operating power feasible region flow validation]

Christoph Kattmann, Ahmad Abdel-Majeed, and Stefan Tenbohlen. Database-Assisted Load Flow Simulation for Low Voltage Grids Using a Model Reduction Approach. 2014. [PUMA: Grids Load Low Reduction Voltage Simulation Approach Model Flow]

Kazuhiko Terashima Oliver Sawodny Yoshiyuki Noda, Markus Birkhold, and Alexander Verl. Flow Rate Estimation Using Unscented Kalman Filterin Automatic Pouring Robot: Flow Rate Estimation Using Unscented Kalman Filterin Automatic Pouring Robot. --, 2011. [PUMA: foundry robot, filter, Kalman estimation, unscented automatic rate equipment ISW flow pouring]

Allen Q. Howard, and Thomas Naini. Four Methods for LIDAR Retrieval of Microscale Wind Fields. Remote Sensing, (4)12:2329--2355, 2012. [PUMA: wind semblance models;fluid;LiDAR;retrievals;spatio-temporal methods;vector and fields flow]

D.S. Martínez, A. García, J.P. Solano, and A. Viedma. Heat transfer enhancement of laminar and transitional Newtonian and non-Newtonian flows in tubes with wire coil inserts. International Journal of Heat and Mass Transfer, (76):540 - 548, 2014. [PUMA: coil myown transfer inserts, Newtonian Heat enhancement, Non Wire flow flow, Transitional] URL

Tobias Köppl, Gabriele Santin, Bernard Haasdonk, and Rainer Helmig. Numerical modelling of a peripheral arterial stenosis using dimensionally reduced models and kernel methods. International Journal for Numerical Methods in Biomedical Engineering, (0)ja:e3095, 2018. [PUMA: models, peripheral kernel simulations reduced mixed-dimension methods, ians blood simulations, stenosis, from:mhartmann real-time dimensionally surrogate vorlaeufig flow] URL

Tobias Köppl, Gabriele Santin, Bernard Haasdonk, and Rainer Helmig. Numerical modelling of a peripheral arterial stenosis using dimensionally reduced models and kernel methods. International Journal for Numerical Methods in Biomedical Engineering, (0)ja:e3095, 2018. [PUMA: models, peripheral kernel simulations reduced mixed-dimension methods, blood simulations, stenosis, real-time dimensionally surrogate vorlaeufig flow] URL

Tobias Köppl, Gabriele Santin, Bernard Haasdonk, and Rainer Helmig. Numerical modelling of a peripheral arterial stenosis using dimensionally reduced models and kernel methods. International Journal for Numerical Methods in Biomedical Engineering, (34)8:e3095, 2018. [PUMA: models, peripheral mixed‐dimension kernel simulations reduced methods, ians blood real‐time simulations, stenosis, dimensionally surrogate flow anm] URL

Tobias Köppl, Gabriele Santin, Bernard Haasdonk, and Rainer Helmig. Numerical modelling of a peripheral arterial stenosis using dimensionally reduced models and kernel methods. International Journal for Numerical Methods in Biomedical Engineering, (34)8:e3095, 2018. [PUMA: models, peripheral mixed‐dimension kernel simulations reduced from:britsteiner methods, ians blood real‐time simulations, stenosis, dimensionally surrogate flow anm] URL

F. Kissling, and K.H. Karlsen. On the singular limit of a two-phase flow equation with heterogeneities and dynamic capillary pressure. ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, n/a--n/a, WILEY-VCH Verlag, 2013. [PUMA: in Conservation porous function, ians capillarity, from:mhartmann limit, media. flux singular law, dynamic discontinuous vorlaeufig flow two-phase] URL

F. Kissling, and K.H. Karlsen. On the singular limit of a two-phase flow equation with heterogeneities and dynamic capillary pressure. ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, n/a--n/a, WILEY-VCH Verlag, 2013. [PUMA: in Conservation porous function, capillarity, limit, media. flux singular law, dynamic discontinuous vorlaeufig flow two-phase] URL

Stefan Tenbohlen, Nicolas Schmidt, C. Breuer, Saeed Khandan, and R. Lebreton. Optical and Numerical Investigation of Oil Flow Velocities Inside a Zigzag Cooled Winding Model. 2016. [PUMA: Oil Velocities Flow]

Andreas Weinläder, Stefan Tenbohlen, and R. Wittmaack. Prediction of the Oil Flow and Temperature Distribution in Power Transformers by CFD. 2010. [PUMA: Oil Distribution CFD Temperature Transformers Flow Power]

Andreas Weinläder, W. Wu, Stefan Tenbohlen, and Z. Wang. Prediction of the Oil Flow Distribution in Oil-immersed Transformer Windings by Network Modelling and CFD. IET Electric Power Applications, 2011. [PUMA: Oil Distribution CFD Transformer Windings Network Modelling Oil-immersed Flow]

Georg Kayser, Alexander Probst, Martin Braun, and Stefan Tenbohlen. Probabilistische Lastmodellierung von Haushaltslasten. 2012. [PUMA: Load modeling Probability engineering density consumption distribution demand estimation computing function Parameter Energy flow Power] URL