用于瞬态二维孔隙尺度流动预测与生成式设计的查询时框架
A Query-Time Framework for Transient 2D Pore-Scale Flow Prediction and Generative Design
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中文总结 AI 辅助
本研究提出CT-PoreFlow模型，构建QSGS-Transient-7606基准，实现瞬态二维孔隙尺度流动的高效预测，并将其嵌入逆向设计工作流，在多孔介质生成设计中表现优于扩散模型。
中文摘要 AI 辅助
孔隙尺度流动控制着多孔介质工程应用中的输运和渗透率行为，但针对大量几何结构与设计查询重复进行晶格玻尔兹曼方法（LBM）模拟，部署成本过高。本研究将瞬态孔隙尺度流动预测建模为几何条件下的查询时算子，并引入QSGS-Transient-7606基准，该基准包含7606个二维多孔结构，每个结构配对30个对数采样的LBM状态。所提出的连续时间孔隙尺度流动替代模型（CT-PoreFlow）整合了拓扑感知几何编码、压缩谱混合以及带有后期通量校准目标的对数时间条件。在未见过的测试几何结构上，CT-PoreFlow实现了0.2248的速度相对L2误差和12.81%的终端渗透率误差。冻结形态和计算机断层扫描图像验证了其无需微调即可实现的跨几何结构鲁棒性。随后，该替代模型被嵌入到逆向设计工作流中，在LBM验证前，针对18个属性目标筛选9216个生成对抗网络（GAN）和扩散模型候选方案。引导式GAN采样达到98.11%的贯通性和72.28%的条件设计成功率，优于基于扩散的生成。该框架统一了多孔介质的瞬态流动预测、输运感知筛选以及LBM验证的逆向设计。
英文摘要
Pore-scale flow governs transport and permeability behaviour in porous media engineering applications, yet repeated lattice Boltzmann method (LBM) simulation across many geometries and design queries remains costly for repeated deployment. This study formulates transient pore-scale flow prediction as a geometry-conditioned query-time operator and introduces QSGS-Transient-7606, a benchmark of 7,606 two-dimensional porous structures each paired with 30 logarithmically sampled LBM states. The proposed continuous-time pore-scale flow surrogate model (CT-PoreFlow) integrates topology-aware geometry encoding, compressed spectral mixing, and log-time conditioning with a late-time flux-calibration objective. On unseen test geometries, CT-PoreFlow achieves a velocity relative L2 of 0.2248 and a terminal permeability error of 12.81%. Frozen morphology and computed tomography image audits confirm reasonable cross-geometry robustness without fine-tuning. The surrogate is then embedded in an inverse design workflow, screening 9,216 generative adversarial network and diffusion candidates across 18 property targets prior to LBM verification. Guided GAN sampling attains 98.11% through-connectivity and 72.28% conditional design success, exceeding diffusion-based generation. The framework unifies transient flow prediction, transport-aware screening, and LBM-verified inverse design for porous media.
发表机构
- School of Civil Engineering, The University of Sydney（悉尼大学土木工程学院）
- Zhejiang University（浙江大学）
- College of Civil Engineering and Architecture, Zhejiang University（浙江大学建筑工程学院）
- School of Civil Engineering, Southeast University（东南大学土木工程学院）
- School of Civil and Environmental Engineering, UNSW Sydney（新南威尔士大学悉尼校区土木与环境工程学院）
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