Search for dissertations about: "time-integration"
Showing result 1 - 5 of 35 swedish dissertations containing the word time-integration.
-
1. Adaptive time-integration for goal-oriented and coupled problems
Abstract : We consider efficient methods for the partitioned time-integration of multiphysics problems, which commonly exhibit a multiscale behavior, requiring independent time-grids. Examples are fluid structure interaction in e.g., the simulation of blood-flow or cooling of rocket engines, or ocean-atmosphere-vegetation interaction. READ MORE
-
2. Fractional Calculus and Linear Viscoelasticity in Structural Dynamics
Abstract : The use of linear viscoelasticity together with fractional calculus in time-domain structural modeling is studied. Both constitutive and structural aspects are investigated. READ MORE
-
3. Modelling Stiffness and Damping by Use of Fractional Calculus with Application to Railpads
Abstract : When studying the dynamic behaviour of a structure, e g a railway track, it is important for the analyst to model both stiffness and damping accurately. Mathematical models including fractional derivatives have been found to work well for many materials. Such models are linear and causal. READ MORE
-
4. Structural Reliability and Identification with Stochastic Simulation - Application to Railway Mechanics
Abstract : System identification of structures based on measured response data can play a key role in improving reliability based structural designs. However, the experimental limitations of in situ tests and uncertainties of required model complexity together with the inverse nature of system identification give rise to a number of challenging issues. READ MORE
-
5. An Integration-Reduction Scheme for Simulation of Large Systems with Local Nonlinearity and Uncertainty - Application to moving load problems in railway mechanics
Abstract : The focus of this research is mainly on computational efficiency, as future work is planned for reliability analysis that will be combined with design optimisation. Both these fields are known to be notoriously computationally demanding. READ MORE