@article{ButenwegMarinkovicSalatic2019,
  author    = {Butenweg, Christoph and Marinkovic, Marko and Salatic, Ratko},
  title     = {Experimental results of reinforced concrete frames with masonry infills under combined quasi-static in-plane and out-of-plane seismic loading},
  series = {Bulletin of Earthquake Engineering},
  volume    = {17},
  journal   = {Bulletin of Earthquake Engineering},
  publisher = {Springer},
  address   = {Berlin},
  issn      = {1573-1456},
  doi       = {10.1007/s10518-019-00602-7},
  pages     = {3397 -- 3422},
  year      = {2019},
  language  = {en}
}
@article{MarinkovicButenweg2019,
  author    = {Marinkovic, Marko and Butenweg, Christoph},
  title     = {Innovative decoupling system for the seismic protection of masonry infill walls in reinforced concrete frames},
  series = {Engineering Structures},
  volume    = {197},
  journal   = {Engineering Structures},
  number    = {Article 109435},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0141-0296},
  doi       = {10.1016/j.engstruct.2019.109435},
  year      = {2019},
  language  = {en}
}
@article{LyonsMikuckiGermanetal.2019,
  author    = {Lyons, W. Berry and Mikucki, Jill A. and German, Laura A. and Welch, Kathleen A. and Welch, Susan A. and Gardener, Christopher B. and Tulaczyk, Slawek M. and Pettit, Erin C. and Kowalski, Julia and Dachwald, Bernd},
  title     = {The Geochemistry of Englacial Brine from Taylor Glacier, Antarctica},
  series = {Journal of Geophysical Research: Biogeosciences},
  journal   = {Journal of Geophysical Research: Biogeosciences},
  publisher = {Wiley},
  address   = {Hoboken},
  issn      = {2169-8961},
  doi       = {10.1029/2018JG004411},
  year      = {2019},
  language  = {en}
}
@book{BudelmannButenweg2019,
  author    = {Budelmann, Harald and Butenweg, Christoph},
  title     = {Mauerwerksbau: Bemessung und Konstruktion : Baustoffe, Bemessung und Ausf{\"u}hrung, Brandschutz und Erdbeben, Nachhaltigkeit, Bewertung und Revitalisierung},
  editor    = {Gunkler, Erhard},
  edition   = {2. {\"u}berarbeitete und aktualisierte Auflage},
  publisher = {Bundesanzeiger Verlag},
  address   = {K{\"o}ln},
  isbn      = {978-3-8462-0371-2},
  pages     = {XXIV, 738 S. ; Illustrationen, Diagramme},
  year      = {2019},
  language  = {de}
}
@article{TurlybekulyPogrebnjakSukhodubetal.2019,
  author    = {Turlybekuly, Amanzhol and Pogrebnjak, Alexander and Sukhodub, L. F. and Sukhodub, Liudmyla B. and Kistaubayeva, A. S. and Savitskaya, Irina and Shokatayeva, D. H. and Bondar, Oleksandr V. and Shaimardanov, Z. K. and Plotnikov, Sergey V. and Shaimardanova, B. H. and Digel, Ilya},
  title     = {Synthesis, characterization, in vitro biocompatibility and antibacterial properties study of nanocomposite materials based on hydroxyapatite-biphasic ZnO micro- and nanoparticles embedded in Alginate matrix},
  series = {Materials Science and Engineering C},
  volume    = {104},
  journal   = {Materials Science and Engineering C},
  number    = {Article number 109965},
  publisher = {Elsevier},
  address   = {Amsterdam},
  doi       = {10.1016/j.msec.2019.109965},
  year      = {2019},
  language  = {en}
}
@book{MeskourisButenwegHinzenetal.2019,
  author    = {Meskouris, Konstantin and Butenweg, Christoph and Hinzen, Klaus-G. and H{\"o}ffer, R{\"u}diger},
  title     = {Structural Dynamics with Applications in Earthquake and Wind Engineering},
  publisher = {Springer},
  address   = {Berlin, Heidelberg},
  isbn      = {978-3-662-57550-5},
  doi       = {10.1007/978-3-662-57550-5},
  year      = {2019},
  language  = {en}
}
@incollection{DachwaldOhndorf2019,
  author    = {Dachwald, Bernd and Ohndorf, Andreas},
  title     = {Global optimization of continuous-thrust trajectories using evolutionary neurocontrol},
  series = {Modeling and Optimization in Space Engineering},
  booktitle = {Modeling and Optimization in Space Engineering},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-030-10501-3},
  doi       = {10.1007/978-3-030-10501-3_2},
  pages     = {33 -- 57},
  year      = {2019},
  abstract  = {Searching optimal continuous-thrust trajectories is usually a difficult and time-consuming task. The solution quality of traditional optimal-control methods depends strongly on an adequate initial guess because the solution is typically close to the initial guess, which may be far from the (unknown) global optimum. Evolutionary neurocontrol attacks continuous-thrust optimization problems from the perspective of artificial intelligence and machine learning, combining artificial neural networks and evolutionary algorithms. This chapter describes the method and shows some example results for single- and multi-phase continuous-thrust trajectory optimization problems to assess its performance. Evolutionary neurocontrol can explore the trajectory search space more exhaustively than a human expert can do with traditional optimal-control methods. Especially for difficult problems, it usually finds solutions that are closer to the global optimum. Another fundamental advantage is that continuous-thrust trajectories can be optimized without an initial guess and without expert supervision.},
  language  = {en}
}
@article{GoettenHavermannBraunetal.2019,
  author    = {G{\"o}tten, Falk and Havermann, Marc and Braun, Carsten and Gomez, Francisco and Bil, Cees},
  title     = {RANS Simulation Validation of a Small Sensor Turret for UAVs},
  series = {Journal of Aerospace Engineering},
  volume    = {32},
  journal   = {Journal of Aerospace Engineering},
  number    = {5},
  publisher = {ASCE},
  address   = {New York},
  issn      = {1943-5525},
  doi       = {10.1061/(ASCE)AS.1943-5525.0001055},
  pages     = {Article number 04019060},
  year      = {2019},
  abstract  = {Recent Unmanned Aerial Vehicle (UAV) design procedures rely on full aircraft steady-state Reynolds-Averaged-Navier-Stokes (RANS) analyses in early design stages. Small sensor turrets are included in such simulations, even though their aerodynamic properties show highly unsteady behavior. Very little is known about the effects of this approach on the simulation outcomes of small turrets. Therefore, the flow around a model turret at a Reynolds number of 47,400 is simulated with a steady-state RANS approach and compared to experimental data. Lift, drag, and surface pressure show good agreement with the experiment. The RANS model predicts the separation location too far downstream and shows a larger recirculation region aft of the body. Both characteristic arch and horseshoe vortex structures are visualized and qualitatively match the ones found by the experiment. The Reynolds number dependence of the drag coefficient follows the trend of a sphere within a distinct range. The outcomes indicate that a steady-state RANS model of a small sensor turret is able to give results that are useful for UAV engineering purposes but might not be suited for detailed insight into flow properties.},
  language  = {en}
}
@article{GoettscheAlexopoulosDuemmleretal.2019,
  author    = {G{\"o}ttsche, Joachim and Alexopoulos, Spiros and D{\"u}mmler, Andreas and Maddineni, S. K.},
  title     = {Multi-Mirror Array Calculations With Optical Error},
  pages     = {1 -- 6},
  year      = {2019},
  abstract  = {The optical performance of a 2-axis solar concentrator was simulated with the COMSOL Multiphysics® software. The concentrator consists of a mirror array, which was created using the application builder. The mirror facets are preconfigured to form a focal point. During tracking all mirrors are moved simultaneously in a coupled mode by 2 motors in two axes, in order to keep the system in focus with the moving sun. Optical errors on each reflecting surface were implemented in combination with the solar angular cone of ± 4.65 mrad. As a result, the intercept factor of solar radiation that is available to the receiver was calculated as a function of the transversal and longitudinal angles of incidence. In addition, the intensity distribution on the receiver plane was calculated as a function of the incidence angles.},
  language  = {en}
}
@inproceedings{EichlerSkupinThurnetal.2019,
  author    = {Eichler, Fabian and Skupin, Marco and Thurn, Laura and Kasch, Susanne and Schmidt, Thomas},
  title     = {Operating limits for beam melting of glass materials},
  series = {Modern Technologies in Manufacturing (MTeM 2019)},
  volume    = {299},
  booktitle = {Modern Technologies in Manufacturing (MTeM 2019)},
  number    = {Article 01004},
  doi       = {10.1051/matecconf/201929901004},
  pages     = {8 Seiten},
  year      = {2019},
  abstract  = {Laser-based Additive Manufacturing (AM) processes for the use of metals out of the powder bed have been investigated profusely and are prevalent in industry. Although there is a broad field of application, Laser Powder Bed Fusion (LPBF), also known as Selective Laser Melting (SLM) of glass is not fully developed yet. The material properties of glass are significantly different from the investigated metallic material for LPBF so far. As such, the process cannot be transferred, and the parameter limits and the process sequence must be redefined for glass. Starting with the characterization of glass powders, a parameter field is initially confined to investigate the process parameter of different glass powder using LPBFprocess. A feasibility study is carried out to process borosilicate glass powder. The effects of process parameters on the dimensional accuracy of fabricated parts out of borosilicate and hints for the post-processing are analysed and presented in this paper.},
  language  = {en}
}