欢迎来到热源布局预测数据集(Heat-Source Layout Dataset, HSLD)主页。
热源布局温度场预测任务
热源布局温度场预测任务是在一个给定边界条件的传热问题中,针对任意变化的热源组件布局,实现整体温度场的快速准确预测,为热源组件布局优化设计提供高效代理模型工具。
给定边界条件的传热问题 | 热源组件布局方案 | 对应温度场分布 |
- 基于图像的建模
学习热源布局到温度场的映射关系
引用
温度场重建基准
@article{chen2021, Author = {Xianqi Chen and Xiaoyu Zhao and Zhiqiang Gong and Jun Zhang and Weien Zhou and Xiaoqian Chen and Wen Yao}, Title = {A Deep Neural Network Surrogate Modeling Benchmark for Temperature Field Prediction of Heat Source Layout}, Journal = {Science China-Physics, Mechanics & Astronomy}, Year = {2021} }
@article{zhao2021, Author = {Xiaoyu Zhao and Zhiqiang Gong and Jun Zhang and Wen Yao and Xiaoqian Chen}, Title = {A surrogate model with data augmentation and deep transfer learning for temperature field prediction of heat source layout}, Journal = {Structural and Multidisciplinary Optimization}, Year = {2021} }