Has Interprocess Communication Been Used for Multi-Phase Macroscopic Analyses?

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Interprocess communication tools could enhance multi-phase macroscopic analyses by allowing different software codes, such as finite element, dynamics, and AI codes, to communicate effectively. The discussion highlights the potential benefits of isolating these codes to simplify learning and integration with smart machine tools. The proposed method involves using sockets for communication while adhering to a standardized data format. This approach may facilitate collaboration and sharing of efforts among developers. The mention of the NAFEMS Benchmark magazine underscores the relevance of AI in improving simulation processes.
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I am aware that a lot of software exists to conduct such multi-phase macroscopic analyses.

But has anyone ever used the tools of interprocess communication to do this?

Consider, for example, these three:
  • A Finite element code (For deformation) on a parallel machine
  • A Dynamcis code (for dynamics) on a vector machine
  • An AI code (for learning) on a PC
Consider a case where all such codes communicate through, say, sockets.

Consider that this is done in such a way that each code adheres to a prescribed data format so that they can more readily communicate?

Can anyone share any references?

The motivation for this question is as follows...

There exist many multi-phase mechanics codes (dynamics, FE, Fluids, Heat, etc.), however, the codes are massive. Perhaps, if each code was more isolated, then it would be easier:

  • to learn how to do multi-phase analyses (again, at the macroscopic level).
  • to share efforts.
  • to integrate the codes with, say, learning tools for smart machines.

I am just thinking out of the box and would like to know if anyone has done this (I know it will not be as fast as one stand alone code).
 
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I think that you will find this issue of Benchmark magazine (by NAFEMS) interesting: „Artificial Intelligence & Machine Learning” July 2018. It features several articles with examples of industrial cases when AI was applied to simulation processes.
 
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