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A technology reference study for a solar polar mission is presented. The study uses novel analytical methods to quantify the mission design space including the required sail performance to achieve a given solar polar observation angle within a given timeframe and thus to derive mass allocations for the remaining spacecraft sub-systems, that is excluding the solar sail sub-system. A parametric, bottom-up, system mass budget analysis is then used to establish the required sail technology to deliver a range of science payloads, and to establish where such payloads can be delivered to within a given timeframe. It is found that a solar polar mission requires a solar sail of side-length 100–125 m to deliver a ‘sufficient value’ minimum science payload, and that a 2.5 μm sail film substrate is typically required, however the design is much less sensitive to the boom specific mass.
A technology reference study for a multiple near-Earth object (NEO) rendezvous mission with solar sailcraft is currently carried out by the authors of this paper. The investigated mission builds on previous concepts, but adopts a strong micro-spacecraft philosophy based on the DLR/ESA Gossamer technology. The main scientific objective of the mission is to explore the diversity of NEOs. After direct interplanetary insertion, the solar sailcraft should—within less than 10 years—rendezvous three NEOs that are not only scientifically interesting, but also from the point of human spaceight and planetary defense. In this paper, the objectives of the study are outlined and a preliminary potential mission profile is presented.
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.
Geotechnik
(2012)
In der nationalen und der europäischen Normung werden die geotechnischen Aufgaben zwecks Mindestanforderungen an Baugrunduntersuchung, rechnerische Nachweise und Überwachung der Ausführung in drei Klassen (Kategorien) eingeteilt. Sie richten sich nach der zu erwartenden Reaktion des Baugrundes, nach dem geotechnischen Schwierigkeitsgrad des Tragwerks und seiner Einflüsse auf dieUmgebung.
Geotechnik
(2012)
Geotechnik
(2009)
Geotechnik
(2005)
Geotechnik
(2015)
In der nationalen und der europäischen Normung werden die geotechnischen Aufgaben zwecks Mindestanforderungen an Baugrunduntersuchung, rechnerische Nachweise und Überwachung der Ausführung in drei Klassen (Kategorien) eingeteilt. Sie richten sich nach der zu erwartenden Reaktion des Baugrundes, nach dem geotechnischen Schwierigkeitsgrad des Tragwerks und seiner Einflüsse auf die Umgebung.
In DIN 4020 wurde die Einteilung bezüglich Art und Umfang der geotechnischen Untersuchungen bereits verbindlich eingeführt.
Geotechnik
(2015)
Geologisch-geotechnischer Planungsprozess von Tunnelbauten mit Schwerpunkt tiefliegender Tunnel
(2014)
Genetically humanized mice for proteins involved in drug metabolism and toxicity and mice engrafted with human hepatocytes are emerging as promising in vivo models for improved prediction of the pharmacokinetic, drug–drug interaction, and safety characteristics of compounds in humans. This is an overview on the genetically humanized and chimeric liver-humanized mouse models, which are illustrated with examples of their utility in drug metabolism and toxicity studies. The models are compared to give guidance for selection of the most appropriate model by highlighting advantages and disadvantages to be carefully considered when used for studies in drug discovery and development.
Fünf Fragen an Ilka Helmig
(2009)