多时间尺度的多物理场耦合问题的变步长策略和高效并行计算方法数据

本数据集围绕多时间尺度多物理场耦合问题的变步长策略与高效并行计算方法构建，含7个子数据集，总数据量711.38MB，格式为.xls、.txt、.mat，2020–2024 年生产加工，2025年12月公开共享。基于混合有限元法、GPU并行计算等技术，结合Parareal、POD-ATS-HTS等算法，针对油浸式变压器等设备的流—热耦合等问题开展仿真与实验，获取瞬态/稳态流场、温度场等数据，时间精度达秒级，空间覆盖绕组单分区至八分区模型。通过与实验数据、经典软件结果对比，误差控制在允许范围，确保数据可靠。该数据集可支撑多物理场耦合算法验证、变压器热管理优化等研究，为工程设计与科研提供高效精准的数据支持。

This dataset is developed around variable-step strategies and efficient parallel computing methods for multi-time-scale and multi-physics coupling problems. It includes 7 sub-datasets, with a total data volume of 711.38 MB, and supports file formats including .xls, .txt and .mat. The dataset was collected and processed between 2020 and 2024, and will be publicly shared in December 2025.
Based on technologies such as hybrid finite element method and GPU parallel computing, combined with algorithms including Parareal, POD-ATS-HTS and other related methods, simulations and experiments were carried out for flow-thermal coupling issues of equipment such as oil-immersed transformers. Data including transient/steady-state flow fields and temperature fields were acquired, with a temporal accuracy up to the second level, and spatial coverage ranging from single-zone to eight-zone models of transformer windings.
By comparing with experimental data and results from classical simulation software, the error is controlled within the allowable range, ensuring the reliability of the dataset.
This dataset can support researches such as multi-physics coupling algorithm verification and transformer thermal management optimization, providing efficient and accurate data support for engineering design and scientific research.

搜集汇总

背景与挑战

背景概述

该数据集针对多时间尺度多物理场耦合问题，提供了基于变步长策略和高效并行计算方法的仿真与实验数据，主要应用于油浸式变压器等设备的流-热耦合分析。数据集包含7个子集，总数据量约711.38MB，采用混合有限元法、GPU并行计算及多种先进算法，确保了数据的高精度和可靠性，可用于算法验证和工程优化研究。