@incollection{ButenwegHoltschoppen2019, author = {Butenweg, Christoph and Holtschoppen, Britta}, title = {Seismic design of structures and components in industrial units}, series = {Structural Dynamics with Applications in Earthquake and Wind Engineering}, booktitle = {Structural Dynamics with Applications in Earthquake and Wind Engineering}, publisher = {Springer}, address = {Berlin}, isbn = {978-3-662-57550-5}, doi = {10.1007/978-3-662-57550-5_5}, pages = {359 -- 481}, year = {2019}, abstract = {Industrial units consist of the primary load-carrying structure and various process engineering components, the latter being by far the most important in financial terms. In addition, supply structures such as free-standing tanks and silos are usually required for each plant to ensure the supply of material and product storage. Thus, for the earthquake-proof design of industrial plants, design and construction rules are required for the primary structures, the secondary structures and the supply structures. Within the framework of these rules, possible interactions of primary and secondary structures must also be taken into account. Importance factors are used in seismic design in order to take into account the usually higher risk potential of an industrial unit compared to conventional building structures. Industrial facilities must be able to withstand seismic actions because of possibly wide-ranging damage consequences in addition to losses due to production standstill and the destruction of valuable equipment. The chapter presents an integrated concept for the seismic design of industrial units based on current seismic standards and the latest research results. Special attention is devoted to the seismic design of steel thin-walled silos and tank structures.}, language = {en} } @article{RossiStupazziniParisietal.2019, author = {Rossi, Leonardo and Stupazzini, Marco and Parisi, Davide and Holtschoppen, Britta and Ruggieri, Gabriella and Butenweg, Christoph}, title = {Empirical fragility functions and loss curves for long-span-beam buildings based on the 2012 Emilia-Romagna earthquake official database}, series = {Bulletin of Earthquake Engineering}, volume = {18}, journal = {Bulletin of Earthquake Engineering}, publisher = {Springer Nature}, issn = {1573-1456}, doi = {10.1007/s10518-019-00759-1}, pages = {1693 -- 1721}, year = {2019}, abstract = {The 2012 Emilia-Romagna earthquake, that mainly struck the homonymous Italian region provoking 28 casualties and damage to thousands of structures and infrastructures, is an exceptional source of information to question, investigate, and challenge the validity of seismic fragility functions and loss curves from an empirical standpoint. Among the most recent seismic events taking place in Europe, that of Emilia-Romagna is quite likely one of the best documented, not only in terms of experienced damages, but also for what concerns occurred losses and necessary reconstruction costs. In fact, in order to manage the compensations in a fair way both to citizens and business owners, soon after the seismic sequence, the regional administrative authority started (1) collecting damage and consequence-related data, (2) evaluating information sources and (3) taking care of the cross-checking of various reports. A specific database—so-called Sistema Informativo Gestione Europa (SFINGE)—was devoted to damaged business activities. As a result, 7 years after the seismic events, scientists can rely on a one-of-a-kind, vast and consistent database, containing information about (among other things): (1) buildings' location and dimensions, (2) occurred structural damages, (3) experienced direct economic losses and (4) related reconstruction costs. The present work is focused on a specific data subset of SFINGE, whose elements are Long-Span-Beam buildings (mostly precast) deployed for business activities in industry, trade or agriculture. With the available set of data, empirical fragility functions, cost and loss ratio curves are elaborated, that may be included within existing Performance Based Earthquake Engineering assessment toolkits.}, language = {en} } @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} }