@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{FinkenbergerBaumeisterKoch2019, author = {Finkenberger, Isabel Maria and Baumeister, Eva-Maria and Koch, Christian}, title = {Komplement und Verst{\"a}rker : der Diskurs geht weiter}, series = {Komplement und Verst{\"a}rker : zum Verh{\"a}ltnis von Stadtplanung, k{\"u}nstlerischen Praktiken und Kulturinstitutionen}, booktitle = {Komplement und Verst{\"a}rker : zum Verh{\"a}ltnis von Stadtplanung, k{\"u}nstlerischen Praktiken und Kulturinstitutionen}, publisher = {JOVIS Verlag}, address = {Berlin}, isbn = {978-3-86859-578-9}, pages = {40 -- 49}, year = {2019}, language = {de} } @book{WagemannTippkoetter2019, author = {Wagemann, Kurt and Tippk{\"o}tter, Nils}, title = {Biorefineries / Kurt Wagemann, Nils Tippk{\"o}tter (editors)}, series = {Advances in biochemical engineering/biotechnology book series (ABE)}, journal = {Advances in biochemical engineering/biotechnology book series (ABE)}, publisher = {Springer}, address = {Cham (Switzerland)}, isbn = {978-3-319-97117-9}, doi = {10.1007/978-3-319-97119-3}, pages = {VI, 549 Seiten}, year = {2019}, language = {en} } @article{ClaerFerreinSchiffer2019, author = {Claer, Mario and Ferrein, Alexander and Schiffer, Stefan}, title = {Calibration of a Rotating or Revolving Platform with a LiDAR Sensor}, series = {Applied Sciences}, volume = {Volume 9}, journal = {Applied Sciences}, number = {issue 11, 2238}, publisher = {MDPI}, address = {Basel}, issn = {2076-3417}, doi = {10.3390/app9112238}, pages = {18 Seiten}, year = {2019}, language = {en} } @article{LeschingerBirgelHackletal.2019, author = {Leschinger, Tim and Birgel, Stefan and Hackl, Michael and Staat, Manfred and M{\"u}ller, Lars Peter and Wegmann, Kilian}, title = {A musculoskeletal shoulder simulation of moment arms and joint reaction forces after medialization of the supraspinatus footprint in rotator cuff repair}, series = {Computer Methods in Biomechanics and Biomedical Engineering}, journal = {Computer Methods in Biomechanics and Biomedical Engineering}, number = {Early view}, publisher = {Taylor \& Francis}, address = {London}, doi = {10.1080/10255842.2019.1572749}, 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} }