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Intermediate model based efficient and integrated multidisciplinary simulation data visualization for simulation information reuse

机译:基于中间模型的高效集成多学科仿真数据可视化,可重复使用仿真信息

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摘要

The efficient and integrated visualization and reuse of multidisciplinary simulation data are imperative for the development of complex products. However, it is not a trivial task for designers to efficiently acquire, view and then reuse simulation data to improve the product design process. The challenge is that simulation data are always too huge to be transferred and retrieved quickly and they tend to be heterogeneous and tool-specific due to the lack of a uniform representation. In this study, an approach of intermediate model based efficient and integrated visualization of multidisciplinary simulation data for simulation information reuse is proposed to address the above issues. Firstly, the intermediate model based integrated model framework is designed to support the uniform modeling and integrated visualization of multidisciplinary simulation data. Then, the intermediate mesh model is constructed based on the hybrid mesh size (HMS) field to achieve the uniform representation of multidisciplinary simulation data with high-fidelity. Thirdly, a series of strategies such as coarse filtering, fine filtering for incremental transmission and data compression are proposed to improve data transmission efficiency. Moreover, a simulation model descriptor (SMD) based similarity assessment method is developed to support the efficient retrieval of simulation models for reuse. Finally, several experiments are conducted to demonstrate the feasibility and effectiveness of the proposed model and methods.
机译:高效,集成的可视化和多学科仿真数据的重用对于开发复杂产品至关重要。但是,对于设计师来说,有效地获取,查看并重用仿真数据以改善产品设计过程并不是一件容易的事。挑战在于,仿真数据总是太大而无法快速传输和检索,由于缺乏统一的表示形式,它们往往是异构的且特定于工具的。在这项研究中,提出了一种基于中间模型的多学科仿真数据的高效集成可视化方法,用于仿真信息重用,以解决上述问题。首先,设计了基于中间模型的集成模型框架,以支持多学科仿真数据的统一建模和集成可视化。然后,基于混合网格尺寸(HMS)字段构建中间网格模型,以实现高保真的多学科仿真数据的统一表示。第三,为提高数据传输效率,提出了粗略滤波,增量传输精细滤波,数据压缩等一系列策略。此外,开发了一种基于仿真模型描述符(SMD)的相似度评估方法,以支持对仿真模型进行有效检索以进行重用。最后,进行了一些实验以证明所提出的模型和方法的可行性和有效性。

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