Refine
Year of publication
- 2024 (127)
- 2023 (256)
- 2022 (301)
- 2021 (293)
- 2020 (241)
- 2019 (378)
- 2018 (259)
- 2017 (259)
- 2016 (277)
- 2015 (301)
- 2014 (301)
- 2013 (301)
- 2012 (332)
- 2011 (328)
- 2010 (342)
- 2009 (369)
- 2008 (311)
- 2007 (312)
- 2006 (330)
- 2005 (303)
- 2004 (323)
- 2003 (254)
- 2002 (250)
- 2001 (221)
- 2000 (245)
- 1999 (236)
- 1998 (242)
- 1997 (220)
- 1996 (202)
- 1995 (192)
- 1994 (174)
- 1993 (154)
- 1992 (144)
- 1991 (100)
- 1990 (108)
- 1989 (111)
- 1988 (104)
- 1987 (105)
- 1986 (81)
- 1985 (84)
- 1984 (75)
- 1983 (70)
- 1982 (57)
- 1981 (54)
- 1980 (61)
- 1979 (58)
- 1978 (52)
- 1977 (32)
- 1976 (30)
- 1975 (28)
- 1974 (17)
- 1973 (12)
- 1972 (17)
- 1971 (11)
- 1970 (2)
- 1969 (2)
- 1968 (2)
- 1967 (1)
- 1963 (1)
- 1925 (1)
Institute
- Fachbereich Medizintechnik und Technomathematik (2074)
- Fachbereich Elektrotechnik und Informationstechnik (1184)
- Fachbereich Wirtschaftswissenschaften (1158)
- Fachbereich Energietechnik (1115)
- Fachbereich Chemie und Biotechnologie (912)
- Fachbereich Maschinenbau und Mechatronik (868)
- Fachbereich Luft- und Raumfahrttechnik (798)
- Fachbereich Bauingenieurwesen (711)
- IfB - Institut für Bioengineering (690)
- INB - Institut für Nano- und Biotechnologien (615)
Language
- German (5114)
- English (4909)
- Russian (14)
- Portuguese (6)
- Multiple languages (5)
- Spanish (3)
- Dutch (2)
- Italian (1)
Document Type
- Article (5646)
- Conference Proceeding (1639)
- Book (1079)
- Part of a Book (559)
- Bachelor Thesis (327)
- Patent (174)
- Report (101)
- Doctoral Thesis (79)
- Other (76)
- Administrative publication (76)
Keywords
- Amtliche Mitteilung (71)
- Bachelor (33)
- Aachen University of Applied Sciences (31)
- Master (31)
- Prüfungsordnung (31)
- Bauingenieurwesen (30)
- Lesbare Fassung (28)
- Biosensor (25)
- Fachhochschule Aachen (23)
- Illustration (23)
Zugriffsart
- campus (2147)
- weltweit (1860)
- bezahl (766)
- fachbereichsweit (FB4) (34)
We present new numerical results for shape optimization problems of interior Neumann eigenvalues. This field is not well understood from a theoretical standpoint. The existence of shape maximizers is not proven beyond the first two eigenvalues, so we study the problem numerically. We describe a method to compute the eigenvalues for a given shape that combines the boundary element method with an algorithm for nonlinear eigenvalues. As numerical optimization requires many such evaluations, we put a focus on the efficiency of the method and the implemented routine. The method is well suited for parallelization. Using the resulting fast routines and a specialized parametrization of the shapes, we found improved maxima for several eigenvalues.
Three-dimensional (3D) full-field measurements provide a comprehensive and accurate validation of finite element (FE) models. For the validation, the result of the model and measurements are compared based on two respective point-sets and this requires the point-sets to be registered in one coordinate system. Point-set registration is a non-convex optimization problem that has widely been solved by the ordinary iterative closest point algorithm. However, this approach necessitates a good initialization without which it easily returns a local optimum, i.e. an erroneous registration. The globally optimal iterative closest point (Go-ICP) algorithm has overcome this drawback and forms the basis for the presented open-source tool that can be used for the validation of FE models using 3D full-field measurements. The capability of the tool is demonstrated using an application example from the field of biomechanics. Methodological problems that arise in real-world data and the respective implemented solution approaches are discussed.