Academic Journal
A statistical damage constitutive model for the uniaxial mechanical behavior of wood based on the Poisson distribution.
| Τίτλος: | A statistical damage constitutive model for the uniaxial mechanical behavior of wood based on the Poisson distribution. |
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| Συγγραφείς: | Li, Weijun, Bai, Yashuang, Xu, Guolin, Li, Na |
| Πηγή: | Nordic Pulp & Paper Research Journal; Mar2026, Vol. 41 Issue 1, p107-120, 14p |
| Θεματικοί όροι: | Poisson distribution, Damage models, Finite element method, Subroutines (Computer programs), Mechanical behavior of materials, Stress-strain curves, Mechanics (Physics) |
| Περίληψη: | The constitutive model of materials is fundamental for analyzing the nonlinear behavior of structures. For brittle and quasi-brittle materials, statistical damage constitutive models based on probability density functions offer high computational accuracy. However, existing statistical damage models for wood often show low accuracy, particularly under compressive loading, where discrepancies appear in the softening descending branch of the stress–strain curve. To address this issue, this study proposes establishing a statistical damage constitutive model, takes Yunnan pine and ash wood as examples and proposes a uniaxial statistical damage constitutive model for wood in the longitudinal direction. The model is constructed using the Poisson distribution function, principles of continuum mechanics, and the geometric features of deformation–failure curves. It was implemented as a user-defined material subroutine in the finite element software Abaqus. Numerical simulation results are compared with experimental data to assess the model's performance. The results indicate that the Poisson distribution-based model can accurately simulate the mechanical behavior of wood, especially under compression and tension. Finite element predictions of stress–strain behavior show strong agreement with test results, with minimal differences in the nonlinear response. This confirms the feasibility and accuracy of applying the Poisson distribution in constitutive modeling of wood. [ABSTRACT FROM AUTHOR] |
| Copyright of Nordic Pulp & Paper Research Journal is the property of De Gruyter 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.) | |
| Βάση Δεδομένων: | Complementary Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edb DbLabel: Complementary Index An: 191633364 RelevancyScore: 1061 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 1060.7568359375 |
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| Items | – Name: Title Label: Title Group: Ti Data: A statistical damage constitutive model for the uniaxial mechanical behavior of wood based on the Poisson distribution. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Li%2C+Weijun%22">Li, Weijun</searchLink><br /><searchLink fieldCode="AR" term="%22Bai%2C+Yashuang%22">Bai, Yashuang</searchLink><br /><searchLink fieldCode="AR" term="%22Xu%2C+Guolin%22">Xu, Guolin</searchLink><br /><searchLink fieldCode="AR" term="%22Li%2C+Na%22">Li, Na</searchLink> – Name: TitleSource Label: Source Group: Src Data: Nordic Pulp & Paper Research Journal; Mar2026, Vol. 41 Issue 1, p107-120, 14p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Poisson+distribution%22">Poisson distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Damage+models%22">Damage models</searchLink><br /><searchLink fieldCode="DE" term="%22Finite+element+method%22">Finite element method</searchLink><br /><searchLink fieldCode="DE" term="%22Subroutines+%28Computer+programs%29%22">Subroutines (Computer programs)</searchLink><br /><searchLink fieldCode="DE" term="%22Mechanical+behavior+of+materials%22">Mechanical behavior of materials</searchLink><br /><searchLink fieldCode="DE" term="%22Stress-strain+curves%22">Stress-strain curves</searchLink><br /><searchLink fieldCode="DE" term="%22Mechanics+%28Physics%29%22">Mechanics (Physics)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The constitutive model of materials is fundamental for analyzing the nonlinear behavior of structures. For brittle and quasi-brittle materials, statistical damage constitutive models based on probability density functions offer high computational accuracy. However, existing statistical damage models for wood often show low accuracy, particularly under compressive loading, where discrepancies appear in the softening descending branch of the stress–strain curve. To address this issue, this study proposes establishing a statistical damage constitutive model, takes Yunnan pine and ash wood as examples and proposes a uniaxial statistical damage constitutive model for wood in the longitudinal direction. The model is constructed using the Poisson distribution function, principles of continuum mechanics, and the geometric features of deformation–failure curves. It was implemented as a user-defined material subroutine in the finite element software Abaqus. Numerical simulation results are compared with experimental data to assess the model's performance. The results indicate that the Poisson distribution-based model can accurately simulate the mechanical behavior of wood, especially under compression and tension. Finite element predictions of stress–strain behavior show strong agreement with test results, with minimal differences in the nonlinear response. This confirms the feasibility and accuracy of applying the Poisson distribution in constitutive modeling of wood. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Nordic Pulp & Paper Research Journal is the property of De Gruyter 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: 10.1515/npprj-2025-0050 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 107 Subjects: – SubjectFull: Poisson distribution Type: general – SubjectFull: Damage models Type: general – SubjectFull: Finite element method Type: general – SubjectFull: Subroutines (Computer programs) Type: general – SubjectFull: Mechanical behavior of materials Type: general – SubjectFull: Stress-strain curves Type: general – SubjectFull: Mechanics (Physics) Type: general Titles: – TitleFull: A statistical damage constitutive model for the uniaxial mechanical behavior of wood based on the Poisson distribution. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Li, Weijun – PersonEntity: Name: NameFull: Bai, Yashuang – PersonEntity: Name: NameFull: Xu, Guolin – PersonEntity: Name: NameFull: Li, Na IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 02832631 Numbering: – Type: volume Value: 41 – Type: issue Value: 1 Titles: – TitleFull: Nordic Pulp & Paper Research Journal Type: main |
| ResultId | 1 |