Model Verification and Error Sensitivity of Turbulence-Related Tensor Characteristics in Pulsatile Blood Flow Simulations
Model verification, validation, and uncertainty quantification are essential procedures to estimate errors within cardiovascular flow modeling, where acceptable confidence levels are needed for clinical reliability. While more turbulent-like studies are frequently observed within the biofluid commun...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-12-01
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| Series: | Fluids |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2311-5521/6/1/11 |
| _version_ | 1797543030683598848 |
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| author | Magnus Andersson Matts Karlsson |
| author_facet | Magnus Andersson Matts Karlsson |
| author_sort | Magnus Andersson |
| collection | DOAJ |
| description | Model verification, validation, and uncertainty quantification are essential procedures to estimate errors within cardiovascular flow modeling, where acceptable confidence levels are needed for clinical reliability. While more turbulent-like studies are frequently observed within the biofluid community, practical modeling guidelines are scarce. Verification procedures determine the agreement between the conceptual model and its numerical solution by comparing for example, discretization and phase-averaging-related errors of specific output parameters. This computational fluid dynamics (CFD) study presents a comprehensive and practical verification approach for pulsatile turbulent-like blood flow predictions by considering the amplitude and shape of the turbulence-related tensor field using anisotropic invariant mapping. These procedures were demonstrated by investigating the Reynolds stress tensor characteristics in a patient-specific aortic coarctation model, focusing on modeling-related errors associated with the spatiotemporal resolution and phase-averaging sampling size. Findings in this work suggest that attention should also be put on reducing phase-averaging related errors, as these could easily outweigh the errors associated with the spatiotemporal resolution when including too few cardiac cycles. Also, substantially more cycles are likely needed than typically reported for these flow regimes to sufficiently converge the phase-instant tensor characteristics. Here, higher degrees of active fluctuating directions, especially of lower amplitudes, appeared to be the most sensitive turbulence characteristics. |
| first_indexed | 2024-03-10T13:39:52Z |
| format | Article |
| id | doaj.art-934e3116d2974ff29bf1d2a10d5d7df7 |
| institution | Directory Open Access Journal |
| issn | 2311-5521 |
| language | English |
| last_indexed | 2024-03-10T13:39:52Z |
| publishDate | 2020-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Fluids |
| spelling | doaj.art-934e3116d2974ff29bf1d2a10d5d7df72023-11-21T03:10:40ZengMDPI AGFluids2311-55212020-12-01611110.3390/fluids6010011Model Verification and Error Sensitivity of Turbulence-Related Tensor Characteristics in Pulsatile Blood Flow SimulationsMagnus Andersson0Matts Karlsson1Department of Management and Engineering, Linköping University, SE-581 83 Linköping, SwedenDepartment of Management and Engineering, Linköping University, SE-581 83 Linköping, SwedenModel verification, validation, and uncertainty quantification are essential procedures to estimate errors within cardiovascular flow modeling, where acceptable confidence levels are needed for clinical reliability. While more turbulent-like studies are frequently observed within the biofluid community, practical modeling guidelines are scarce. Verification procedures determine the agreement between the conceptual model and its numerical solution by comparing for example, discretization and phase-averaging-related errors of specific output parameters. This computational fluid dynamics (CFD) study presents a comprehensive and practical verification approach for pulsatile turbulent-like blood flow predictions by considering the amplitude and shape of the turbulence-related tensor field using anisotropic invariant mapping. These procedures were demonstrated by investigating the Reynolds stress tensor characteristics in a patient-specific aortic coarctation model, focusing on modeling-related errors associated with the spatiotemporal resolution and phase-averaging sampling size. Findings in this work suggest that attention should also be put on reducing phase-averaging related errors, as these could easily outweigh the errors associated with the spatiotemporal resolution when including too few cardiac cycles. Also, substantially more cycles are likely needed than typically reported for these flow regimes to sufficiently converge the phase-instant tensor characteristics. Here, higher degrees of active fluctuating directions, especially of lower amplitudes, appeared to be the most sensitive turbulence characteristics.https://www.mdpi.com/2311-5521/6/1/11barycentric anisotropy invariant mapturbulence componentalityepistemic modeling errorspatient-specific computational hemodynamicslarge eddy simulationsimage-based cardiovascular flow modeling |
| spellingShingle | Magnus Andersson Matts Karlsson Model Verification and Error Sensitivity of Turbulence-Related Tensor Characteristics in Pulsatile Blood Flow Simulations Fluids barycentric anisotropy invariant map turbulence componentality epistemic modeling errors patient-specific computational hemodynamics large eddy simulations image-based cardiovascular flow modeling |
| title | Model Verification and Error Sensitivity of Turbulence-Related Tensor Characteristics in Pulsatile Blood Flow Simulations |
| title_full | Model Verification and Error Sensitivity of Turbulence-Related Tensor Characteristics in Pulsatile Blood Flow Simulations |
| title_fullStr | Model Verification and Error Sensitivity of Turbulence-Related Tensor Characteristics in Pulsatile Blood Flow Simulations |
| title_full_unstemmed | Model Verification and Error Sensitivity of Turbulence-Related Tensor Characteristics in Pulsatile Blood Flow Simulations |
| title_short | Model Verification and Error Sensitivity of Turbulence-Related Tensor Characteristics in Pulsatile Blood Flow Simulations |
| title_sort | model verification and error sensitivity of turbulence related tensor characteristics in pulsatile blood flow simulations |
| topic | barycentric anisotropy invariant map turbulence componentality epistemic modeling errors patient-specific computational hemodynamics large eddy simulations image-based cardiovascular flow modeling |
| url | https://www.mdpi.com/2311-5521/6/1/11 |
| work_keys_str_mv | AT magnusandersson modelverificationanderrorsensitivityofturbulencerelatedtensorcharacteristicsinpulsatilebloodflowsimulations AT mattskarlsson modelverificationanderrorsensitivityofturbulencerelatedtensorcharacteristicsinpulsatilebloodflowsimulations |