Computational Mechanics Applications in a Novel Grid Framework

摘要

Computational Mechanics problems require the capability to perform complex simulations, often employing various simulation models. An important application is the use of intensive parameter studies to optimize designs or processes. Such optimization can even help to steer technical processes, such as the high power furnaces of power plants. The IT-infrastructure underlying today's Grid technologies makes it possible to easily and transparently carry out sophisticated simulations. However, the complexity and scale of large studies require improved support for the submission, monitoring, and termination of jobs; the collection of results; and the dynamic generation of new parameter sets. This paper presents a Grid framework consisting of GriCoL (Grid Concurrent Language), a simple and effective language for the description of complex Grid applications, and SEGL (Science Experimental Grid Laboratory), the problem solving environment within which GriCoL is utilized. As a demonstration, we apply this framework to the simulation of high power furnaces at a power plant, a computational mechanics application with industrial applicability.