
This paper presents the design of a multi-physics integration tool with an object-oriented architecture that facilitates the implementation of multi-physics and multi-level simulations assembled from independently developed applications (components). The tool provides high-level support for mutual data exchange between codes, including support for different discretization techniques and specific field transfer operators, being aware of the underlying physical phenomena. Parallel and distributed applications and aspects of the applications are also addressed. Each application is required to implement application and data interfaces, which allow abstract access to solution domains and fields, and provide services for steering individual applications. The Python scripting language is extended by modules representing interfaces to existing codes. The high-level language serves as a glue to tie the modules or components together and to create a specialized application. The capabilities of the tool are demonstrated on two examples that illustrate staggered thermo-mechanical analysis and distributed field mapping.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 14 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
