• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

使用龙格 - 库塔间断伽辽金方法对血流简化模型的比较。

Comparison of reduced models for blood flow using Runge-Kutta discontinuous Galerkin methods.

作者信息

Puelz Charles, Čanić Sunčica, Rivière Béatrice, Rusin Craig G

机构信息

Rice University, Department of Computational and Applied Mathematics.

University of Houston, Department of Mathematics.

出版信息

Appl Numer Math. 2017 May;115:114-141. doi: 10.1016/j.apnum.2017.01.005. Epub 2017 Jan 11.

DOI:10.1016/j.apnum.2017.01.005
PMID:29081563
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5654593/
Abstract

One-dimensional blood flow models take the general form of nonlinear hyperbolic systems but differ in their formulation. One class of models considers the physically conserved quantities of mass and momentum, while another class describes mass and velocity. Further, the averaging process employed in the model derivation requires the specification of the axial velocity profile; this choice differentiates models within each class. Discrepancies among differing models have yet to be investigated. In this paper, we comment on some theoretical differences among models and systematically compare them for physiologically relevant vessel parameters, network topology, and boundary data. In particular, the effect of the velocity profile is investigated in the cases of both smooth and discontinuous solutions, and a recommendation for a physiological model is provided. The models are discretized by a class of Runge-Kutta discontinuous Galerkin methods.

摘要

一维血流模型具有非线性双曲系统的一般形式,但在其公式表述上有所不同。一类模型考虑质量和动量这些物理守恒量,而另一类模型描述的是质量和速度。此外,模型推导中采用的平均过程需要指定轴向速度分布;这种选择区分了每一类中的不同模型。不同模型之间的差异尚未得到研究。在本文中,我们阐述了模型之间的一些理论差异,并针对生理相关的血管参数、网络拓扑结构和边界数据对它们进行了系统比较。特别是,研究了速度分布在光滑解和间断解两种情况下的影响,并给出了一个生理模型的建议。这些模型通过一类龙格 - 库塔间断伽辽金方法进行离散化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/de8674240675/nihms871515f24.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/6b8245d716db/nihms871515f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/4591a224d63b/nihms871515f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/8efe7c4bf816/nihms871515f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/b55aaea54a88/nihms871515f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/5bad3aa00f05/nihms871515f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/5bad3aa00f05/nihms871515f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/118e61855dfe/nihms871515f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/1c44a180689e/nihms871515f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/45cc5264ef1c/nihms871515f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/e24808701927/nihms871515f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/746ab3984306/nihms871515f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/5f1c529bca1b/nihms871515f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/f407fe96528a/nihms871515f13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/c352539fa910/nihms871515f14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/98928b430d0a/nihms871515f15.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/ce7ba29bdd99/nihms871515f16.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/5559ad8a6e8c/nihms871515f17.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/17ea46f74516/nihms871515f18.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/692ffa7363c0/nihms871515f19.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/6ea216c506a9/nihms871515f20.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/ec65fe73401b/nihms871515f21.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/cd9e4d6c08b0/nihms871515f22.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/1afc71cb87e9/nihms871515f23.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/de8674240675/nihms871515f24.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/6b8245d716db/nihms871515f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/4591a224d63b/nihms871515f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/8efe7c4bf816/nihms871515f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/b55aaea54a88/nihms871515f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/5bad3aa00f05/nihms871515f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/5bad3aa00f05/nihms871515f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/118e61855dfe/nihms871515f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/1c44a180689e/nihms871515f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/45cc5264ef1c/nihms871515f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/e24808701927/nihms871515f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/746ab3984306/nihms871515f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/5f1c529bca1b/nihms871515f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/f407fe96528a/nihms871515f13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/c352539fa910/nihms871515f14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/98928b430d0a/nihms871515f15.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/ce7ba29bdd99/nihms871515f16.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/5559ad8a6e8c/nihms871515f17.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/17ea46f74516/nihms871515f18.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/692ffa7363c0/nihms871515f19.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/6ea216c506a9/nihms871515f20.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/ec65fe73401b/nihms871515f21.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/cd9e4d6c08b0/nihms871515f22.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/1afc71cb87e9/nihms871515f23.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3c/5654593/de8674240675/nihms871515f24.jpg

相似文献

1
Comparison of reduced models for blood flow using Runge-Kutta discontinuous Galerkin methods.使用龙格 - 库塔间断伽辽金方法对血流简化模型的比较。
Appl Numer Math. 2017 May;115:114-141. doi: 10.1016/j.apnum.2017.01.005. Epub 2017 Jan 11.
2
A New Runge-Kutta Discontinuous Galerkin Method with Conservation Constraint to Improve CFL Condition for Solving Conservation Laws.一种具有守恒约束的新型龙格 - 库塔间断伽辽金方法,用于改善求解守恒律的CFL条件。
J Comput Phys. 2014 Dec 1;278:348-377. doi: 10.1016/j.jcp.2014.08.042.
3
A unified discontinuous Galerkin framework for time integration.一种用于时间积分的统一间断伽辽金框架。
Math Methods Appl Sci. 2014 May 15;37(7):1042-1071. doi: 10.1002/mma.2863.
4
Structure aware Runge-Kutta time stepping for spacetime tents.用于时空帐篷的结构感知龙格 - 库塔时间步长法。
SN Partial Differ Equ Appl. 2020;1(4):19. doi: 10.1007/s42985-020-00020-4. Epub 2020 Jul 28.
5
Numerical Method of Characteristics for One-Dimensional Blood Flow.一维血流的特征数值方法。
J Comput Phys. 2015 Aug 1;294:96-109. doi: 10.1016/j.jcp.2015.03.045.
6
A one-dimensional computational model for blood flow in an elastic blood vessel with a rigid catheter.一个用于有刚性导管的弹性血管中血流的一维计算模型。
Int J Numer Method Biomed Eng. 2024 Jul;40(7):e3834. doi: 10.1002/cnm.3834. Epub 2024 May 12.
7
Full Discretisations for Nonlinear Evolutionary Inequalities Based on Stiffly Accurate Runge-Kutta and -Finite Element Methods.基于刚性精确龙格-库塔和有限元方法的非线性演化不等式的全离散化
Found Comut Math. 2014;14(5):913-949. doi: 10.1007/s10208-013-9179-3. Epub 2013 Nov 13.
8
Room acoustics modelling in the time-domain with the nodal discontinuous Galerkin method.基于节点间断伽辽金方法的时域室内声学建模
J Acoust Soc Am. 2019 Apr;145(4):2650. doi: 10.1121/1.5096154.
9
Stability analysis of a hyperbolic stochastic Galerkin formulation for the Aw-Rascle-Zhang model with relaxation.具有松弛项的Aw-Rascle-Zhang模型的双曲随机伽辽金公式的稳定性分析
Math Biosci Eng. 2021 May 20;18(4):4372-4389. doi: 10.3934/mbe.2021220.
10
Analysis of dual solution for MHD flow of Williamson fluid with slippage.考虑滑移的威廉姆森流体磁流体动力学流动的双解分析。
Heliyon. 2019 Mar 18;5(3):e01345. doi: 10.1016/j.heliyon.2019.e01345. eCollection 2019 Mar.

引用本文的文献

1
1D thermoembolization model using CT imaging data for porcine liver.使用猪肝脏CT成像数据的一维热栓塞模型。
Sci Rep. 2025 Jul 1;15(1):20552. doi: 10.1038/s41598-025-06079-6.
2
1D Thermoembolization Model Using CT Imaging Data for Porcine Liver.使用猪肝脏CT成像数据的一维热栓塞模型
ArXiv. 2024 Sep 10:arXiv:2409.06811v1.
3
[Angiodynamic and optical coupling analysis of skin tissue model under finite pressure].有限压力下皮肤组织模型的血管动力学与光学耦合分析

本文引用的文献

1
The dicrotic notch analyzed by a numerical model.通过数值模型分析的重搏切迹。
Comput Biol Med. 2016 May 1;72:54-64. doi: 10.1016/j.compbiomed.2016.03.005. Epub 2016 Mar 14.
2
Development of a Numerical Method for Patient-Specific Cerebral Circulation Using 1D-0D Simulation of the Entire Cardiovascular System with SPECT Data.利用带有单光子发射计算机断层扫描(SPECT)数据的全心血管系统一维零维模拟开发针对特定患者脑循环的数值方法。
Ann Biomed Eng. 2016 Aug;44(8):2351-2363. doi: 10.1007/s10439-015-1544-8. Epub 2015 Dec 31.
3
An advanced computational bioheat transfer model for a human body with an embedded systemic circulation.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2022 Jun 25;39(3):527-536. doi: 10.7507/1001-5515.202106039.
一种用于具有嵌入式体循环的人体的先进计算生物传热模型。
Biomech Model Mechanobiol. 2016 Oct;15(5):1173-90. doi: 10.1007/s10237-015-0751-4. Epub 2015 Dec 26.
4
A high-order local time stepping finite volume solver for one-dimensional blood flow simulations: application to the ADAN model.用于一维血流模拟的高阶局部时间步长有限体积求解器:在ADAN模型中的应用。
Int J Numer Method Biomed Eng. 2016 Oct;32(10). doi: 10.1002/cnm.2761. Epub 2016 Jan 26.
5
A benchmark study of numerical schemes for one-dimensional arterial blood flow modelling.一维动脉血流建模数值格式的基准研究。
Int J Numer Method Biomed Eng. 2015 Oct;31(10). doi: 10.1002/cnm.2732. Epub 2015 Jul 3.
6
Numerical Method of Characteristics for One-Dimensional Blood Flow.一维血流的特征数值方法。
J Comput Phys. 2015 Aug 1;294:96-109. doi: 10.1016/j.jcp.2015.03.045.
7
Verification and comparison of four numerical schemes for a 1D viscoelastic blood flow model.一维粘弹性血流模型的四种数值格式的验证与比较
Comput Methods Biomech Biomed Engin. 2015;18(15):1704-25. doi: 10.1080/10255842.2014.948428. Epub 2014 Aug 22.
8
A systematic comparison between 1-D and 3-D hemodynamics in compliant arterial models.顺应性动脉模型中一维与三维血流动力学的系统比较。
Int J Numer Method Biomed Eng. 2014 Feb;30(2):204-31. doi: 10.1002/cnm.2598. Epub 2013 Sep 24.
9
Well-balanced high-order solver for blood flow in networks of vessels with variable properties.具有可变特性的血管网络中血流的平衡高阶求解器。
Int J Numer Method Biomed Eng. 2013 Dec;29(12):1388-411. doi: 10.1002/cnm.2580. Epub 2013 Jul 31.
10
On the potentialities of 3D-1D coupled models in hemodynamics simulations.论三维-一维耦合模型在血流动力学模拟中的潜力
J Biomech. 2009 May 11;42(7):919-30. doi: 10.1016/j.jbiomech.2009.01.034. Epub 2009 Mar 9.