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A new CFD method enhanced by machine learning for violent free surfaces

A new CFD method enhanced by machine learning for violent free surfaces
通过机器学习增强的新 CFD 方法,适用于暴力自由表面
批准号:
22K14332
负责人:
カムラ モハメド・ムスタフア・ザキ・アハメド
金额:
$2.66万
依托单位:
依托单位国家:
日本
项目类别:
Grant-in-Aid for Early-Career Scientists
财政年份:
2022
资助国家:
日本
项目状态:
已结题
起止时间:
2022-04-01 至 2023-03-31

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中文摘要
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英文摘要
Preliminary results for a new formula that will replace the currently employed Tangent Hyperbolic function in the THINC VOF scheme utilized for interface capture treatment in multiphase flow have been achieved. The proposed function, unlike the Tangent Hyperbolic function, can be integrated twice, saving computing costs associated with numerical integration. In a subset of test scenarios, the proposed scheme gives results that are comparable to state-of-the-art THINC techniques at around half the computational cost. However, the current results are still limited to Cartesian (Hexahedral mesh) grids, and there are some difficulties in extending the new approach to different types of unstructured grids.
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二氧化碳与高碳烷烃耦合转化多相催化体系研究