Faculty / Organisational entity
- Fraunhofer (ITWM) (3) (remove)
Year of publication
- 1998 (3) (remove)
- A hierarchy of models for multilane vehicular traffic PART I: Modeling (1998)
- In the present paper multilane models for vehicular traffic are considered. A microscopic multilane model based on reaction thresholds is developed. Based on this model an Enskog like kinetic model is developed. In particular, care is taken to incorporate the correlations between the vehicles. From the kinetic model a fluid dynamic model is derived. The macroscopic coefficients are deduced from the underlying kinetic model. Numerical simulations are presented for all three levels of description in . Moreover, a comparison of the results is given there.
- A hierarchy of models for multilane vehicular traffic PART II: Numerical and stochastic investigations (1998)
- In this paper the work presented in  is continued. The present paper contains detailed numerical investigations of the models developed there. A numerical method to treat the kinetic equations obtained in  are presented and results of the simulations are shown. Moreover, the stochastic correlation model used in  is described and investigated in more detail.
- Boundary Layers and Domain Decomposition for Radiative Heat Transfer and Diffusion Equations: Applications to Glass Manufacturing Processes (1998)
- In this paper domain decomposition methods for radiative transfer problems including conductive heat transfer are treated. The paper focuses on semi-transparent materials, like glass, and the associated conditions at the interface between the materials. Using asymptotic analysis we derive conditions for the coupling of the radiative transfer equations and a diffusion approximation. Several test cases are treated and a problem appearing in glass manufacturing processes is computed. The results clearly show the advantages of a domain decomposition approach. Accuracy equivalent to the solution of the global radiative transfer solution is achieved, whereas computation time is strongly reduced.