@misc{Kowalski2004,
  author    = {Kowalski, Julia},
  title     = {Dynamics of Granular Material Avalanches and Numerical Approximations of Savage-Hutter Models},
  year      = {2004},
  language  = {de}
}
@inproceedings{Kowalski2006,
  author    = {Kowalski, Julia},
  title     = {Numerical Debris Flow Simulation},
  series = {Schweizer Numerik Kolloquium : Book of Abstracts 12. April 2006},
  booktitle = {Schweizer Numerik Kolloquium : Book of Abstracts 12. April 2006},
  pages     = {1},
  year      = {2006},
  language  = {en}
}
@inproceedings{KowalskiBarteltMcElwaine2007,
  author    = {Kowalski, Julia and Bartelt, Perry and McElwaine, J.},
  title     = {Two-phase debris flow modeling},
  series = {Geophysical Research Abstracts},
  booktitle = {Geophysical Research Abstracts},
  year      = {2007},
  language  = {en}
}
@inproceedings{KowalskiBugnion2009,
  author    = {Kowalski, Julia and Bugnion, Louis},
  title     = {An extended shallow flow theory for natural debris flows},
  volume    = {41},
  number    = {7},
  pages     = {609 -- 609},
  year      = {2009},
  language  = {de}
}
@article{KowalskiLinderZierkeetal.2016,
  author    = {Kowalski, Julia and Linder, Peter and Zierke, S. and Wulfen, B. van and Clemens, J. and Konstantinidis, K. and Ameres, G. and Hoffmann, R. and Mikucki, J. and Tulaczyk, S. and Funke, O. and Blandfort, D. and Espe, Clemens and Feldmann, Marco and Francke, Gero and Hiecker, S. and Plescher, Engelbert and Sch{\"o}ngarth, Sarah and Dachwald, Bernd and Digel, Ilya and Artmann, Gerhard and Eliseev, D. and Heinen, D. and Scholz, F. and Wiebusch, C. and Macht, S. and Bestmann, U. and Reineking, T. and Zetzsche, C. and Schill, K. and F{\"o}rstner, R. and Niedermeier, H. and Szumski, A. and Eissfeller, B. and Naumann, U. and Helbing, K.},
  title     = {Navigation technology for exploration of glacier ice with maneuverable melting probes},
  series = {Cold Regions Science and Technology},
  journal   = {Cold Regions Science and Technology},
  number    = {123},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0165-232X},
  doi       = {10.1016/j.coldregions.2015.11.006},
  pages     = {53 -- 70},
  year      = {2016},
  abstract  = {The Saturnian moon Enceladus with its extensive water bodies underneath a thick ice sheet cover is a potential candidate for extraterrestrial life. Direct exploration of such extraterrestrial aquatic ecosystems requires advanced access and sampling technologies with a high level of autonomy. A new technological approach has been developed as part of the collaborative research project Enceladus Explorer (EnEx). The concept is based upon a minimally invasive melting probe called the IceMole. The force-regulated, heater-controlled IceMole is able to travel along a curved trajectory as well as upwards. Hence, it allows maneuvers which may be necessary for obstacle avoidance or target selection. Maneuverability, however, necessitates a sophisticated on-board navigation system capable of autonomous operations. The development of such a navigational system has been the focal part of the EnEx project. The original IceMole has been further developed to include relative positioning based on in-ice attitude determination, acoustic positioning, ultrasonic obstacle and target detection integrated through a high-level sensor fusion. This paper describes the EnEx technology and discusses implications for an actual extraterrestrial mission concept.},
  language  = {en}
}
@inproceedings{KowalskiMcArdellBartelt2006,
  author    = {Kowalski, Julia and McArdell, B. W. and Bartelt, Perry},
  title     = {A comparison of two approaches to modeling multiphase gravity currents},
  series = {Geophysical Research Abstracts},
  volume    = {8},
  booktitle = {Geophysical Research Abstracts},
  year      = {2006},
  language  = {en}
}
@inproceedings{KowalskiMcElwaine2008,
  author    = {Kowalski, Julia and McElwaine, J.},
  title     = {Two-phase debris flow modeling},
  series = {Geophysical Research Abstracts},
  booktitle = {Geophysical Research Abstracts},
  year      = {2008},
  language  = {en}
}
@article{KowalskiMcElwaine2013,
  author    = {Kowalski, Julia and McElwaine, Jim N.},
  title     = {Shallow two-component gravity-driven flows with vertical variation},
  series = {Journal of Fluid Mechanics},
  volume    = {714},
  journal   = {Journal of Fluid Mechanics},
  publisher = {Cambridge Univ. Press},
  address   = {Cambridge},
  isbn      = {0022-1120},
  pages     = {434 -- 462},
  year      = {2013},
  language  = {en}
}
@inproceedings{KreyerEsch2017,
  author    = {Kreyer, J{\"o}rg and Esch, Thomas},
  title     = {Simulation Tool for Predictive Control Strategies for an ORCSystem in Heavy Duty Vehicles},
  series = {European GT Conference 2017},
  booktitle = {European GT Conference 2017},
  pages     = {16 Seiten},
  year      = {2017},
  abstract  = {Scientific questions - How can a non-stationary heat offering in the commercial vehicle be used to reduce fuel consumption? - Which potentials offer route and environmental information among with predicted speed and load trajectories to increase the efficiency of a ORC-System? Methods - Desktop bound holistic simulation model for a heavy duty truck incl. an ORC System - Prediction of massflows, temperatures and mixture quality (AFR) of exhaust gas},
  language  = {en}
}
@article{KreyerMuellerEsch2020,
  author    = {Kreyer, J{\"o}rg and M{\"u}ller, Marvin and Esch, Thomas},
  title     = {A Calculation Methodology for Predicting Exhaust Mass Flows and Exhaust Temperature Profiles for Heavy-Duty Vehicles},
  series = {SAE International Journal of Commercial Vehicles},
  volume    = {13},
  journal   = {SAE International Journal of Commercial Vehicles},
  number    = {2},
  publisher = {SAE International},
  address   = {Warrendale, Pa.},
  issn      = {1946-3928},
  doi       = {10.4271/02-13-02-0009},
  pages     = {129 -- 143},
  year      = {2020},
  abstract  = {The predictive control of commercial vehicle energy management systems, such as vehicle thermal management or waste heat recovery (WHR) systems, are discussed on the basis of information sources from the field of environment recognition and in combination with the determination of the vehicle system condition. In this article, a mathematical method for predicting the exhaust gas mass flow and the exhaust gas temperature is presented based on driving data of a heavy-duty vehicle. The prediction refers to the conditions of the exhaust gas at the inlet of the exhaust gas recirculation (EGR) cooler and at the outlet of the exhaust gas aftertreatment system (EAT). The heavy-duty vehicle was operated on the motorway to investigate the characteristic operational profile. In addition to the use of road gradient profile data, an evaluation of the continuously recorded distance signal, which represents the distance between the test vehicle and the road user ahead, is included in the prediction model. Using a Fourier analysis, the trajectory of the vehicle speed is determined for a defined prediction horizon. To verify the method, a holistic simulation model consisting of several hierarchically structured submodels has been developed. A map-based submodel of a combustion engine is used to determine the EGR and EAT exhaust gas mass flows and exhaust gas temperature profiles. All simulation results are validated on the basis of the recorded vehicle and environmental data. Deviations from the predicted values are analyzed and discussed.},
  language  = {en}
}