Enhancing Adaptive Physics Refinement Simulations Through the Addition of Realistic Red Blood Cell Counts.
Enhancing Adaptive Physics Refinement Simulations Through the Addition of Realistic Red Blood Cell Counts.
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通过添加真实的红细胞计数来增强自适应物理细化模拟。
DOI：
10.1145/3581784.3607105
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发表时间：
2023
期刊：
影响因子：
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通讯作者：
Randles,Amanda
中科院分区：
文献类型：
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作者：
Roychowdhury,Sayan;Balogh,Peter;Mahmud,SamreenT;Puleri,DanielF;Martin,Aristotle;Gounley,John;Draeger,ErikW;Randles,Amanda
癌细胞运输的模拟需要精确建模毫米级和更长的轨迹，通过包含数万亿可变形红细胞的循环系统，其细胞间相互作用需要亚微米级的保真度。使用混合CPU-GPU方法，我们扩展了先进的物理细化（APR）方法，将显式建模的红细胞的精细分辨区域耦合到粗分辨的大块流体域。我们进一步开发了以下算法：捕获不同粘度界面的动态，在细胞填充的体积内保持红细胞压积，并在跟踪单个癌细胞时移动精细分解的区域和被封装的细胞。并与完全解析的流固耦合模型进行了比较。最后，我们使用先进的APR方法来模拟癌细胞在毫米尺度距离上的运输，同时保持红细胞的局部区域，使用运行全分辨率模型所需计算能力的一小部分。
Simulations of cancer cell transport require accurately modeling mm-scale and longer trajectories through a circulatory system containing trillions of deformable red blood cells, whose intercellular interactions require submicron fidelity. Using a hybrid CPU-GPU approach, we extend the advanced physics refinement (APR) method to couple a finely-resolved region of explicitly-modeled red blood cells to a coarsely-resolved bulk fluid domain. We further develop algorithms that: capture the dynamics at the interface of differing viscosities, maintain hematocrit within the cell-filled volume, and move the finely-resolved region and encapsulated cells while tracking an individual cancer cell. Comparison to a fully-resolved fluid-structure interaction model is presented for verification. Finally, we use the advanced APR method to simulate cancer cell transport over a mm-scale distance while maintaining a local region of RBCs, using a fraction of the computational power required to run a fully-resolved model.