A new CFD method enhanced by machine learning for violent free surfaces
A new CFD method enhanced by machine learning for violent free surfaces
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
中文摘要
在用于多相流界面捕获处理的THINC VOF格式中,一个新的公式将取代目前使用的切线双曲线函数,并已取得了初步结果。与正切双曲函数不同,该函数可以进行两次积分,从而节省了与数值积分相关的计算成本。在测试场景的子集中,提出的方案以大约一半的计算成本提供了与最先进的THINC技术相当的结果。然而,目前的结果仍然局限于笛卡尔(六面体网格)网格,将新方法推广到不同类型的非结构网格存在一定的困难。
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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国内基金
海外基金
二氧化碳与高碳烷烃耦合转化多相催化体系研究
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批准号:22372180
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项目类别:面上项目
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资助金额:50.00万元
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批准年份:2023
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负责人:崔新江
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依托单位: