Structural modelling of the cardiovascular system.
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| Title: | Structural modelling of the cardiovascular system. |
|---|---|
| Authors: | Owen, Benjamin1 benjamin.owen@manchester.ac.uk, Bojdo, Nicholas1, Jivkov, Andrey1, Keavney, Bernard2, Revell, Alistair1 |
| Source: | Biomechanics & Modeling in Mechanobiology. Oct2018, Vol. 17 Issue 5, p1217-1242. 26p. |
| Subjects: | Cardiovascular system physiology, Biomechanics, Biochemistry, Fluid dynamics, Structural models |
| Abstract: | Computational modelling of the cardiovascular system offers much promise, but represents a truly interdisciplinary challenge, requiring knowledge of physiology, mechanics of materials, fluid dynamics and biochemistry. This paper aims to provide a summary of the recent advances in cardiovascular structural modelling, including the numerical methods, main constitutive models and modelling procedures developed to represent cardiovascular structures and pathologies across a broad range of length and timescales; serving as an accessible point of reference to newcomers to the field. The class of so-called hyperelastic materials provides the theoretical foundation for the modelling of how these materials deform under load, and so an overview of these models is provided; comparing classical to application-specific phenomenological models. The physiology is split into components and pathologies of the cardiovascular system and linked back to constitutive modelling developments, identifying current state of the art in modelling procedures from both clinical and engineering sources. Models which have originally been derived for one application and scale are shown to be used for an increasing range and for similar applications. The trend for such approaches is discussed in the context of increasing availability of high performance computing resources, where in some cases computer hardware can impact the choice of modelling approach used. [ABSTRACT FROM AUTHOR] |
| Copyright of Biomechanics & Modeling in Mechanobiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 131797894 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Structural modelling of the cardiovascular system. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Owen%2C+Benjamin%22">Owen, Benjamin</searchLink><relatesTo>1</relatesTo><i> benjamin.owen@manchester.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Bojdo%2C+Nicholas%22">Bojdo, Nicholas</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Jivkov%2C+Andrey%22">Jivkov, Andrey</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Keavney%2C+Bernard%22">Keavney, Bernard</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Revell%2C+Alistair%22">Revell, Alistair</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Biomechanics+%26+Modeling+in+Mechanobiology%22">Biomechanics & Modeling in Mechanobiology</searchLink>. Oct2018, Vol. 17 Issue 5, p1217-1242. 26p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Cardiovascular+system+physiology%22">Cardiovascular system physiology</searchLink><br /><searchLink fieldCode="DE" term="%22Biomechanics%22">Biomechanics</searchLink><br /><searchLink fieldCode="DE" term="%22Biochemistry%22">Biochemistry</searchLink><br /><searchLink fieldCode="DE" term="%22Fluid+dynamics%22">Fluid dynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+models%22">Structural models</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Computational modelling of the cardiovascular system offers much promise, but represents a truly interdisciplinary challenge, requiring knowledge of physiology, mechanics of materials, fluid dynamics and biochemistry. This paper aims to provide a summary of the recent advances in cardiovascular structural modelling, including the numerical methods, main constitutive models and modelling procedures developed to represent cardiovascular structures and pathologies across a broad range of length and timescales; serving as an accessible point of reference to newcomers to the field. The class of so-called hyperelastic materials provides the theoretical foundation for the modelling of how these materials deform under load, and so an overview of these models is provided; comparing classical to application-specific phenomenological models. The physiology is split into components and pathologies of the cardiovascular system and linked back to constitutive modelling developments, identifying current state of the art in modelling procedures from both clinical and engineering sources. Models which have originally been derived for one application and scale are shown to be used for an increasing range and for similar applications. The trend for such approaches is discussed in the context of increasing availability of high performance computing resources, where in some cases computer hardware can impact the choice of modelling approach used. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Biomechanics & Modeling in Mechanobiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=131797894 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10237-018-1024-9 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 26 StartPage: 1217 Subjects: – SubjectFull: Cardiovascular system physiology Type: general – SubjectFull: Biomechanics Type: general – SubjectFull: Biochemistry Type: general – SubjectFull: Fluid dynamics Type: general – SubjectFull: Structural models Type: general Titles: – TitleFull: Structural modelling of the cardiovascular system. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Owen, Benjamin – PersonEntity: Name: NameFull: Bojdo, Nicholas – PersonEntity: Name: NameFull: Jivkov, Andrey – PersonEntity: Name: NameFull: Keavney, Bernard – PersonEntity: Name: NameFull: Revell, Alistair IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2018 Type: published Y: 2018 Identifiers: – Type: issn-print Value: 16177959 Numbering: – Type: volume Value: 17 – Type: issue Value: 5 Titles: – TitleFull: Biomechanics & Modeling in Mechanobiology Type: main |
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