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Approach to generation of random aggregate model and gradient optimization of background grid based on SolidWorks platform

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Abstract

Use development platform of SolidWorks software to improve the efficiency of generating numerical concrete and aggregate content and can handle with complex geometric shape aggregate. Propose a gravel aggregate generation method that cutting entity with planes and a cobble aggregate generation method that lofting of alpine curves to produce pebbles. Improvements of delivery method are made in three aspects: using the background grid with gradient mesh density to find delivery position; checking interference with SolidWorks API function; and moving aggregate close to and contact with another aggregate in three directions freely. And the generation of three-grade numerical concrete is taken as an example. The results show that the method is simple and reliable, and the aggregate content of grade two, grade three and grade four concrete can reach 55, 64 and 72%, respectively, and the aggregate with complex shape can be simulated. This paper shows that the pretreatment process of mass numerical concrete is completed for the first time by using SolidWorks, and the pretreatment method of the original background mesh is improved, so that it is more suitable for the large pretreatment process. This method can provide a good reference for the pretreatment process of mass and high-content numerical concrete.

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Acknowledgements

This work was supported by the Aerospace science and technology innovation fund.

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Authors and Affiliations

  1. Ministerial Key Laboratory of ZNDY, Nanjing University of Science and Technology, Nanjing, Jiangsu, China

    Xun He, Yong He, Xuchao Pan & Lei Guo

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  1. Xun He
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  2. Yong He
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  3. Xuchao Pan
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  4. Lei Guo
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Correspondence to Xuchao Pan.

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He, X., He, Y., Pan, X. et al. Approach to generation of random aggregate model and gradient optimization of background grid based on SolidWorks platform. Cluster Comput 22 (Suppl 6), 15159–15168 (2019). https://doi.org/10.1007/s10586-018-2519-y

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  • DOI: https://doi.org/10.1007/s10586-018-2519-y

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