The aim of this paper is to present a framework for computation of time-dependent performance indicators of civil structures and infrastructures, with emphasis on bridges, including reliability, vulnerability, robustness and redundancy.
For this purpose, in the framework of RVE computation, a spectral solver of the code DAMASK (Düsseldorf Advanced Material Simulation Kit, an open source crystal plasticity general purpose solver) was applied to model strain localizations at grain level.
With this in mind, the book serves to offer a data-driven view of optimization, through the framework of memetic computation (MC).
Using the framework of throughput computation derived in Section 4, throughput of this WMN is studied.
We utilize the MapReduce framework for computation of intensive short reads overlapping work, and then cluster them into groups.
The concept of coupling the FE-method to simulate the macroscopic behavior of the material and the spectral solver to achieve a high resolution of the microstructure in the framework of RVE computations leads to an efficient strategy regarding computational time and modeling of the microstructure.
Initially designed within a finite-difference framework for computations of compressible flows on structured grids, the RB schemes displayed good convergence, accuracy and shock-capturing properties which motivated their extension to unstructured grids using a finite volume (FV) method.
In a traditional interface-fitted computational framework, the computation of such basis functions is straightforward, primarily because the computational domain does not contain in this case a fictitious region.
Frameworks for models of computation have two purposes.
The whole reconstruction algorithm described here can be applied to any kind of data on triangular unstructured grids, although it is used in the framework of compressible flow computation in this paper only.
