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Komplexitätsadaption integrierter Gesamtfahrzeugsimulationen

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Book Series: Karlsruher Schriftenreihe Fahrzeugsystemtechnik / Institut für Fahrzeugsystemtechnik ISSN: 18696058 ISBN: 9783731504146 Year: Volume: 40 Pages: XIV, 215 p. DOI: 10.5445/KSP/1000048183 Language: GERMAN
Publisher: KIT Scientific Publishing
Subject: Technology (General)
Added to DOAB on : 2019-07-30 20:02:00
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Following the research principle of economy the simplest and most suitable simulation model should be preferred over more complex ones. This allows a high goodness of fit to existing measuring data with a high generalizability during the simulation of virtual prototypes. In addition, testing effort and simulation time can be reduced. For this reason quantification attributes are researched in this book, granting an optimal simulation model complexity depending on different simulation purposes.

Entwicklung einer Auswertemethode für bruchmechanische Versuche an kleinen Proben auf der Basis eines Kohäsivzonenmodells

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Book Series: Schriftenreihe des Instituts für Angewandte Materialien, Karlsruher Institut für Technologie ISSN: 21929963 ISBN: 9783731504412 Year: Volume: 51 Pages: XXVI, 255 p. DOI: 10.5445/KSP/1000049846 Language: GERMAN
Publisher: KIT Scientific Publishing
Subject: Technology (General)
Added to DOAB on : 2019-07-30 20:02:01
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In this work, the fracture toughness is predicted by means of a method based on tests using sub-size specimens. For this purpose, the fracture process including crack growth is described using FEM and cohesive zone model. The tests on sub-size specimens are used for parameter identification. With this set of parameters a standard-size specimen can be simulated. The predicted fracture toughness based on this standard-size specimen meets the size-requirements of the applicable standard.

Fahrerabsichtserkennung und Risikobewertung für warnende Fahrerassistenzsysteme

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Book Series: Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie ISSN: 16134214 ISBN: 9783731505082 Year: Volume: 034 Pages: XX, 159 p. DOI: 10.5445/KSP/1000053685 Language: GERMAN
Publisher: KIT Scientific Publishing
Subject: Technology (General)
Added to DOAB on : 2019-07-30 20:02:02
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To avoid accidents, warning driver assistance systems require an on-line estimation of the current risk of collision. For that, a new method is proposed that – in principle – is able to deal with arbitrary traffic situations. This is achieved by the use of generative models to describe the expected driver behavior. Corresponding user studies in real traffic show promising results even when real time constraints are taken into account.

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