Refine
Year of publication
- 2015 (284) (remove)
Institute
- Fachbereich Medizintechnik und Technomathematik (68)
- Fachbereich Wirtschaftswissenschaften (42)
- IfB - Institut für Bioengineering (38)
- INB - Institut für Nano- und Biotechnologien (36)
- Fachbereich Luft- und Raumfahrttechnik (31)
- Fachbereich Chemie und Biotechnologie (30)
- Fachbereich Elektrotechnik und Informationstechnik (30)
- Fachbereich Bauingenieurwesen (26)
- Fachbereich Energietechnik (23)
- Fachbereich Maschinenbau und Mechatronik (22)
Has Fulltext
- no (284) (remove)
Document Type
- Article (125)
- Conference Proceeding (78)
- Part of a Book (39)
- Book (21)
- Other (7)
- Report (7)
- Doctoral Thesis (5)
- Patent (2)
Keywords
- Attitude dynamics (1)
- Booster Station (1)
- Carsharing (1)
- Charging stations (1)
- Discrete Optimisation (1)
- Discrete Optimization (1)
- E-carsharing (1)
- E-mobility (1)
- Efficiency (1)
- Electrical vehicle (1)
Hydraulic modeling is the classical approach to investigate and describe complex fluid motion. Many empirical formulas in the literature used for the hydraulic design of river training measures and structures have been developed using experimental data from the laboratory. Although computer capacities have increased to a high level which allows to run complex numerical simulations on standard workstation nowadays, non-standard design of structures may still raise the need to perform physical model investigations. These investigations deliver insight into details of flow patterns and the effect of varying boundary conditions. Data from hydraulic model tests may be used for calibration of numerical models as well. As the field of hydraulic modeling is very complex, this chapter intends to give a short overview on capacities and limits of hydraulic modeling in regard to river flows and hydraulic structures only. The reader shall get a first idea of modeling principles and basic considerations. More detailed information can be found in the references.
An amperometric enzyme biosensor has been applied for the detection of adrenaline. The adrenaline biosensor has been prepared by modification of an oxygen electrode with the enzyme laccase that operates at a broad pH range between pH 3.5 to pH 8. The enzyme molecules were immobilized via cross-linking with glutaraldehyde. The sensitivity of the developed adrenaline biosensor in different pH buffer solutions has been studied.