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Methodology for the Synthesis of Computational Modeling and Experimental Design

机译:计算建模与实验设计综合的方法论

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The development of new experiments focused on the analysis of different hazard characteristics of energetic materials can be expensive and time consuming. The progression of initial concepts into viable experiments that utilize available hardware can often be a tedious, trial and error process. However, coupling the experimental evolution with various available computational tools can lead to drastic savings in both time and money. The methodology for integrating computational modeling with experimental design is described in detail as a part of this paper. First, simple engineering analysis methods were used to determine the overall feasibility of initial concepts and designs. Once an initial concept is selected, an iterative process between the experimental design and high-fidelity computational models begins. The experimentalist establishes design boundaries, and modeling is used to identify a variety of optimal configurations. This exchange between experimentalist and modeler occurs constantly during this phase of the design process. Much of this exchange is motivated by new limitations and requirements that emerge as a result of this synthesis. Ultimately, the design process is concluded when an optimal experimental design is identified and fabricated. The recent development of the controllable heat flux device utilized this synergetic relationship.

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