{"title":"Parallel Numerical Simulation of Blood Flows in Patient-specific Aortic Dissection","authors":"Jiali Tu, Shanlin Qin, Rongliang Chen","doi":"10.1109/ICCCS52626.2021.9449294","DOIUrl":null,"url":null,"abstract":"Aortic dissection is the separation of the inner layers of the aortic wall, which allows the blood to flow into it. The computational fluid dynamics allows a better understanding of its pathology and treatment. However, it is time-consuming due to the computationally expensive. In this work, we introduce a parallel algorithm for accurate and fast three-dimensional blood flow simulation of a patient-specific full-size aorta with dissections. Specifically, the unsteady Navier-Stokes equations are discretized by a unstructured finite element method in space and a fully implicit finite difference method in time, and the fully coupled nonlinear system at each time step is solved by a domain decomposition method based parallel scalable iterative algorithm. The numerical results are carefully analyzed and it shows that the simulated pressure, velocity, and wall shear stress are within a reasonable range. In addition, the algorithm achieves a parallel efficiency of 40% when using 3840 processor cores on the Tianhe-2A supercomputer, which shows the potential to do fast and high fidelity blood flow simulations of aortic dissection.","PeriodicalId":376290,"journal":{"name":"2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)","volume":"12373 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCS52626.2021.9449294","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Aortic dissection is the separation of the inner layers of the aortic wall, which allows the blood to flow into it. The computational fluid dynamics allows a better understanding of its pathology and treatment. However, it is time-consuming due to the computationally expensive. In this work, we introduce a parallel algorithm for accurate and fast three-dimensional blood flow simulation of a patient-specific full-size aorta with dissections. Specifically, the unsteady Navier-Stokes equations are discretized by a unstructured finite element method in space and a fully implicit finite difference method in time, and the fully coupled nonlinear system at each time step is solved by a domain decomposition method based parallel scalable iterative algorithm. The numerical results are carefully analyzed and it shows that the simulated pressure, velocity, and wall shear stress are within a reasonable range. In addition, the algorithm achieves a parallel efficiency of 40% when using 3840 processor cores on the Tianhe-2A supercomputer, which shows the potential to do fast and high fidelity blood flow simulations of aortic dissection.