Refine
Year of publication
- 2024 (26)
- 2023 (39)
- 2022 (51)
- 2021 (56)
- 2020 (59)
- 2019 (70)
- 2018 (68)
- 2017 (67)
- 2016 (54)
- 2015 (70)
- 2014 (65)
- 2013 (65)
- 2012 (72)
- 2011 (82)
- 2010 (72)
- 2009 (85)
- 2008 (61)
- 2007 (57)
- 2006 (75)
- 2005 (48)
- 2004 (85)
- 2003 (57)
- 2002 (55)
- 2001 (54)
- 2000 (65)
- 1999 (40)
- 1998 (39)
- 1997 (36)
- 1996 (32)
- 1995 (19)
- 1994 (13)
- 1993 (19)
- 1992 (13)
- 1991 (12)
- 1990 (17)
- 1989 (21)
- 1988 (22)
- 1987 (26)
- 1986 (7)
- 1985 (10)
- 1984 (9)
- 1983 (6)
- 1982 (24)
- 1981 (16)
- 1980 (30)
- 1979 (20)
- 1978 (27)
- 1977 (13)
- 1976 (16)
- 1975 (14)
- 1974 (4)
- 1973 (3)
- 1972 (6)
- 1971 (1)
- 1969 (1)
- 1968 (2)
- 1967 (1)
Institute
- Fachbereich Medizintechnik und Technomathematik (2077) (remove)
Document Type
- Article (1594)
- Conference Proceeding (243)
- Book (96)
- Part of a Book (62)
- Doctoral Thesis (27)
- Patent (17)
- Report (15)
- Other (9)
- Habilitation (4)
- Lecture (3)
Keywords
- Biosensor (25)
- Finite-Elemente-Methode (16)
- CAD (15)
- civil engineering (14)
- Bauingenieurwesen (13)
- Einspielen <Werkstoff> (13)
- shakedown analysis (9)
- FEM (6)
- Limit analysis (6)
- Shakedown analysis (6)
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.
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.
Label-free electrical detection of consecutive deoxyribonucleic acid (DNA) hybridization/denaturation by means of an array of individually addressable field-effect-based nanoplate silicon-on-insulator (SOI) capacitors modified with gold nanoparticles (Au-NP) is investigated. The proposed device detects charge changes on Au-NP/DNA hybrids induced by the hybridization or denaturation event. DNA hybridization was performed in a high ionic-strength solution to provide a high hybridization efficiency. On the other hand, to reduce the screening of the DNA charge by counter ions and to achieve a high sensitivity, the sensor signal induced by the hybridization and denaturation events was measured in a low ionic-strength solution. High sensor signals of about 120, 90, and 80 mV were registered after the DNA hybridization, denaturation, and re-hybridization events, respectively. Fluorescence microscopy has been applied as reference method to verify the DNA immobilization, hybridization, and denaturation processes. An electrostatic charge-plane model for potential changes at the gate surface of a nanoplate field-effect sensor induced by the DNA hybridization has been developed taking into account both the Debye length and the distance of the DNA charge from the gate surface.