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Prediction method for inherent frequency decrease of composite unidirectional laminates under narrow-band random vibration load.

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Title: Prediction method for inherent frequency decrease of composite unidirectional laminates under narrow-band random vibration load.
Authors: Xie, Xiang1 (AUTHOR), Wu, Tao2 (AUTHOR) taowu017@nuaa.edu.cn, Yao, Weixing3 (AUTHOR), Tao, Yuan1 (AUTHOR)
Source: Journal of Composite Materials. Jun2026, Vol. 60 Issue 13, p1175-1184. 10p.
Subjects: Random vibration, Stiffness (Engineering), Glass-reinforced plastics, Laminated materials, Finite element method, Fatigue cracks, Fatigue testing machines
Abstract: When composite laminates are subjected to random vibration loads, internal fatigue damage alters the material properties, which in turn affects the stress-strain response of the laminates. This forms an evolving process where response, damage, and material properties interact with each other. In this paper, a method is proposed to simulate the fatigue process of composite laminates under random vibration loads. The method quantifies the fatigue damage induced by random vibrations through stiffness degradation. Starting from the initial stage, damage accumulation (i.e., stiffness degradation) is performed periodically, and the response is recalculated after each update. This iterative process continues until the entire stiffness and inherent frequency degradation throughout the fatigue life under random vibration is predicted. The method is implemented through a Python-based secondary development of ABAQUS. Constant-amplitude fatigue tests and random vibration fatigue tests were conducted on 2D woven glass fiber reinforced polymer composite laminates. The experimental results confirm the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Composite Materials is the property of Sage Publications, Ltd. 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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DbLabel: Engineering Source
An: 192851445
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Prediction method for inherent frequency decrease of composite unidirectional laminates under narrow-band random vibration load.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Composite+Materials%22">Journal of Composite Materials</searchLink>. Jun2026, Vol. 60 Issue 13, p1175-1184. 10p.
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  Data: <searchLink fieldCode="DE" term="%22Random+vibration%22">Random vibration</searchLink><br /><searchLink fieldCode="DE" term="%22Stiffness+%28Engineering%29%22">Stiffness (Engineering)</searchLink><br /><searchLink fieldCode="DE" term="%22Glass-reinforced+plastics%22">Glass-reinforced plastics</searchLink><br /><searchLink fieldCode="DE" term="%22Laminated+materials%22">Laminated materials</searchLink><br /><searchLink fieldCode="DE" term="%22Finite+element+method%22">Finite element method</searchLink><br /><searchLink fieldCode="DE" term="%22Fatigue+cracks%22">Fatigue cracks</searchLink><br /><searchLink fieldCode="DE" term="%22Fatigue+testing+machines%22">Fatigue testing machines</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: When composite laminates are subjected to random vibration loads, internal fatigue damage alters the material properties, which in turn affects the stress-strain response of the laminates. This forms an evolving process where response, damage, and material properties interact with each other. In this paper, a method is proposed to simulate the fatigue process of composite laminates under random vibration loads. The method quantifies the fatigue damage induced by random vibrations through stiffness degradation. Starting from the initial stage, damage accumulation (i.e., stiffness degradation) is performed periodically, and the response is recalculated after each update. This iterative process continues until the entire stiffness and inherent frequency degradation throughout the fatigue life under random vibration is predicted. The method is implemented through a Python-based secondary development of ABAQUS. Constant-amplitude fatigue tests and random vibration fatigue tests were conducted on 2D woven glass fiber reinforced polymer composite laminates. The experimental results confirm the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Composite Materials is the property of Sage Publications, Ltd. 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:
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    Identifiers:
      – Type: doi
        Value: 10.1177/00219983251379932
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 10
        StartPage: 1175
    Subjects:
      – SubjectFull: Random vibration
        Type: general
      – SubjectFull: Stiffness (Engineering)
        Type: general
      – SubjectFull: Glass-reinforced plastics
        Type: general
      – SubjectFull: Laminated materials
        Type: general
      – SubjectFull: Finite element method
        Type: general
      – SubjectFull: Fatigue cracks
        Type: general
      – SubjectFull: Fatigue testing machines
        Type: general
    Titles:
      – TitleFull: Prediction method for inherent frequency decrease of composite unidirectional laminates under narrow-band random vibration load.
        Type: main
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          Name:
            NameFull: Xie, Xiang
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            NameFull: Wu, Tao
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          Name:
            NameFull: Yao, Weixing
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            NameFull: Tao, Yuan
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          Dates:
            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 00219983
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              Value: 60
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              Value: 13
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            – TitleFull: Journal of Composite Materials
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