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Progressive Damage Analysis and Structural Optimization of Composite Laminates under Probabilistic Uncertainty.

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Τίτλος: Progressive Damage Analysis and Structural Optimization of Composite Laminates under Probabilistic Uncertainty.
Συγγραφείς: Peng, Wei1 (AUTHOR), Chen, Zhipeng2 (AUTHOR), Liao, Dan1 (AUTHOR), Wang, Hao2 (AUTHOR), Zhang, Xiaoling2 (AUTHOR) xiaolingzh@uestc.edu.cn
Πηγή: Quality & Reliability Engineering International. Oct2026, Vol. 42 Issue 6, p2930-2947. 18p.
Θεματικοί όροι: *Structural optimization, *Damage models, *Polynomial chaos, *Sensitivity analysis, *Uncertainty (Information theory), *Fiber orientation, *Laminated materials, *Mechanical behavior of materials
Περίληψη: Accurate assessment of composite laminate strength and ultimate load‐bearing capacity is essential for engineering safety, yet structural performance involves a complex coupled process of degradation and damage evolution subject to multiple uncertainties arising from material properties, ply architecture, and loading conditions. This study develops an integrated structural optimization framework combining a novel progressive damage model with uncertainty propagation analysis. Using sparse Polynomial Chaos Expansion (PCE), the coupled degradation‐damage model quantifies the impact of uncertainties in material properties and ply architecture, while global sensitivity analysis identifies and ranks key uncertainty sources. The framework is applied to optimize the ultimate bearing capacity of laminates, with predictions validated through experiments and numerical simulations. The proposed method offers an effective technical approach for enhancing composite system reliability. [ABSTRACT FROM AUTHOR]
Βάση Δεδομένων: Academic Search Index
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  – Url: https://resolver.ebsco.com/c/fiv2js/result?sid=EBSCO:asx&genre=article&issn=07488017&ISBN=&volume=42&issue=6&date=20261001&spage=2930&pages=2930-2947&title=Quality & Reliability Engineering International&atitle=Progressive%20Damage%20Analysis%20and%20Structural%20Optimization%20of%20Composite%20Laminates%20under%20Probabilistic%20Uncertainty.&aulast=Peng%2C%20Wei&id=DOI:10.1002/qre.70273
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  Label: Title
  Group: Ti
  Data: Progressive Damage Analysis and Structural Optimization of Composite Laminates under Probabilistic Uncertainty.
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  Data: <searchLink fieldCode="AR" term="%22Peng%2C+Wei%22">Peng, Wei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Zhipeng%22">Chen, Zhipeng</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liao%2C+Dan%22">Liao, Dan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Hao%22">Wang, Hao</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Xiaoling%22">Zhang, Xiaoling</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> xiaolingzh@uestc.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Quality+%26+Reliability+Engineering+International%22">Quality & Reliability Engineering International</searchLink>. Oct2026, Vol. 42 Issue 6, p2930-2947. 18p.
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  Data: *<searchLink fieldCode="DE" term="%22Structural+optimization%22">Structural optimization</searchLink><br />*<searchLink fieldCode="DE" term="%22Damage+models%22">Damage models</searchLink><br />*<searchLink fieldCode="DE" term="%22Polynomial+chaos%22">Polynomial chaos</searchLink><br />*<searchLink fieldCode="DE" term="%22Sensitivity+analysis%22">Sensitivity analysis</searchLink><br />*<searchLink fieldCode="DE" term="%22Uncertainty+%28Information+theory%29%22">Uncertainty (Information theory)</searchLink><br />*<searchLink fieldCode="DE" term="%22Fiber+orientation%22">Fiber orientation</searchLink><br />*<searchLink fieldCode="DE" term="%22Laminated+materials%22">Laminated materials</searchLink><br />*<searchLink fieldCode="DE" term="%22Mechanical+behavior+of+materials%22">Mechanical behavior of materials</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Accurate assessment of composite laminate strength and ultimate load‐bearing capacity is essential for engineering safety, yet structural performance involves a complex coupled process of degradation and damage evolution subject to multiple uncertainties arising from material properties, ply architecture, and loading conditions. This study develops an integrated structural optimization framework combining a novel progressive damage model with uncertainty propagation analysis. Using sparse Polynomial Chaos Expansion (PCE), the coupled degradation‐damage model quantifies the impact of uncertainties in material properties and ply architecture, while global sensitivity analysis identifies and ranks key uncertainty sources. The framework is applied to optimize the ultimate bearing capacity of laminates, with predictions validated through experiments and numerical simulations. The proposed method offers an effective technical approach for enhancing composite system reliability. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1002/qre.70273
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 18
        StartPage: 2930
    Subjects:
      – SubjectFull: Structural optimization
        Type: general
      – SubjectFull: Damage models
        Type: general
      – SubjectFull: Polynomial chaos
        Type: general
      – SubjectFull: Sensitivity analysis
        Type: general
      – SubjectFull: Uncertainty (Information theory)
        Type: general
      – SubjectFull: Fiber orientation
        Type: general
      – SubjectFull: Laminated materials
        Type: general
      – SubjectFull: Mechanical behavior of materials
        Type: general
    Titles:
      – TitleFull: Progressive Damage Analysis and Structural Optimization of Composite Laminates under Probabilistic Uncertainty.
        Type: main
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            NameFull: Peng, Wei
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            NameFull: Chen, Zhipeng
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            NameFull: Liao, Dan
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            NameFull: Wang, Hao
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            NameFull: Zhang, Xiaoling
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          Dates:
            – D: 01
              M: 10
              Text: Oct2026
              Type: published
              Y: 2026
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              Value: 42
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              Value: 6
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            – TitleFull: Quality & Reliability Engineering International
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