On adaptive refinements in discrete probabilistic fracture models.
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| Title: | On adaptive refinements in discrete probabilistic fracture models. |
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| Authors: | Eliáš, J.1 elias.j@fce.vutbr.cz |
| Source: | Fracture & Structural Integrity. 2017, Issue 39, p1-6. 6p. |
| Subjects: | Discrete probability theory, Computational complexity, Random fields, Discretization methods, Feature extraction, Continuum mechanics |
| Abstract: | The possibility to adaptively change discretization density is a well acknowledged and used feature of many continuum models. It is employed to save computational time and increase solution accuracy. Recently, adaptivity has been introduced also for discrete particle models. This contribution applies adaptive technique in probabilistic discrete modelling where material properties are varying in space according to a random field. The random field discretization is adaptively refined hand in hand with the model geometry. [ABSTRACT FROM AUTHOR] |
| Copyright of Fracture & Structural Integrity is the property of Gruppo Italiano Frattura 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 |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 120424674 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: On adaptive refinements in discrete probabilistic fracture models. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Eliáš%2C+J%2E%22">Eliáš, J.</searchLink><relatesTo>1</relatesTo><i> elias.j@fce.vutbr.cz</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Fracture+%26+Structural+Integrity%22">Fracture & Structural Integrity</searchLink>. 2017, Issue 39, p1-6. 6p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Discrete+probability+theory%22">Discrete probability theory</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+complexity%22">Computational complexity</searchLink><br /><searchLink fieldCode="DE" term="%22Random+fields%22">Random fields</searchLink><br /><searchLink fieldCode="DE" term="%22Discretization+methods%22">Discretization methods</searchLink><br /><searchLink fieldCode="DE" term="%22Feature+extraction%22">Feature extraction</searchLink><br /><searchLink fieldCode="DE" term="%22Continuum+mechanics%22">Continuum mechanics</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The possibility to adaptively change discretization density is a well acknowledged and used feature of many continuum models. It is employed to save computational time and increase solution accuracy. Recently, adaptivity has been introduced also for discrete particle models. This contribution applies adaptive technique in probabilistic discrete modelling where material properties are varying in space according to a random field. The random field discretization is adaptively refined hand in hand with the model geometry. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Fracture & Structural Integrity is the property of Gruppo Italiano Frattura 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=120424674 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3221/IGF-ESIS.39.01 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 6 StartPage: 1 Subjects: – SubjectFull: Discrete probability theory Type: general – SubjectFull: Computational complexity Type: general – SubjectFull: Random fields Type: general – SubjectFull: Discretization methods Type: general – SubjectFull: Feature extraction Type: general – SubjectFull: Continuum mechanics Type: general Titles: – TitleFull: On adaptive refinements in discrete probabilistic fracture models. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Eliáš, J. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2017 Type: published Y: 2017 Identifiers: – Type: issn-print Value: 19718993 Numbering: – Type: issue Value: 39 Titles: – TitleFull: Fracture & Structural Integrity Type: main |
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