Identification of material parameters of the Rousselier model by non-linear optimization
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| Title: | Identification of material parameters of the Rousselier model by non-linear optimization |
|---|---|
| Authors: | Springmann, M., Kuna, M.1 |
| Source: | Computational Materials Science. Jan2003, Vol. 26 Issue 1-4, p202. 8p. |
| Subjects: | Fracture mechanics, Finite element method |
| Abstract: | This work is concerned with identification of material parameters for inelastic deformation laws. In this context, non-linear boundary and initial value problems are solved using the developmental finite element code SPC-PMHP for parallel computers. The ductile damage model of Rousselier for large elasto-plastic strains is implemented as a system of non-linear differential and algebraic equations. For solving the inverse problem, the solution of the direct problem is embedded in a gradient based method. This way, material parameters could be identified analysing inhomogeneous two-dimensional displacement fields. Deterministic optimization procedures are used to identify parameters by means of a least-squares functional. A semi-analytical sensitivity analysis was adopted to calculate the gradient of the objective function. Numerical experiments with synthetically generated displacement fields were carried out to check the algorithm. The identification procedure was successful when one material parameter is allowed to vary. Experiments with two or more unknown parameters were less successful, because in some cases only a local minimum was found. [Copyright &y& Elsevier] |
| Copyright of Computational Materials Science is the property of Elsevier B.V. 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 | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 9155474 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Identification of material parameters of the Rousselier model by non-linear optimization – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Springmann%2C+M%2E%22">Springmann, M.</searchLink><br /><searchLink fieldCode="AR" term="%22Kuna%2C+M%2E%22">Kuna, M.</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Computational+Materials+Science%22">Computational Materials Science</searchLink>. Jan2003, Vol. 26 Issue 1-4, p202. 8p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Fracture+mechanics%22">Fracture mechanics</searchLink><br /><searchLink fieldCode="DE" term="%22Finite+element+method%22">Finite element method</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This work is concerned with identification of material parameters for inelastic deformation laws. In this context, non-linear boundary and initial value problems are solved using the developmental finite element code SPC-PMHP for parallel computers. The ductile damage model of Rousselier for large elasto-plastic strains is implemented as a system of non-linear differential and algebraic equations. For solving the inverse problem, the solution of the direct problem is embedded in a gradient based method. This way, material parameters could be identified analysing inhomogeneous two-dimensional displacement fields. Deterministic optimization procedures are used to identify parameters by means of a least-squares functional. A semi-analytical sensitivity analysis was adopted to calculate the gradient of the objective function. Numerical experiments with synthetically generated displacement fields were carried out to check the algorithm. The identification procedure was successful when one material parameter is allowed to vary. Experiments with two or more unknown parameters were less successful, because in some cases only a local minimum was found. [Copyright &y& Elsevier] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Computational Materials Science is the property of Elsevier B.V. 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.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/S0927-0256(02)00400-7 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 202 Subjects: – SubjectFull: Fracture mechanics Type: general – SubjectFull: Finite element method Type: general Titles: – TitleFull: Identification of material parameters of the Rousselier model by non-linear optimization Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Springmann, M. – PersonEntity: Name: NameFull: Kuna, M. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2003 Type: published Y: 2003 Identifiers: – Type: issn-print Value: 09270256 Numbering: – Type: volume Value: 26 – Type: issue Value: 1-4 Titles: – TitleFull: Computational Materials Science Type: main |
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