Research on Fatigue Characterization and Life Prediction of Composites Based on Guided Wave In-situ Detection
As composite materials are playing more important role in advanced aircraft structures,the change of mechanical properties of composites during service is of significant importance for the overall safety of the aircraft.In order to achieve the goal of fatigue evaluation and life prediction of compos...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Advances in Aeronautical Science and Engineering
2022-06-01
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| Series: | Hangkong gongcheng jinzhan |
| Subjects: | |
| Online Access: | http://hkgcjz.cnjournals.com/hkgcjz/article/abstract/2022075?st=article_issue |
| _version_ | 1811166438842433536 |
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| author | YAO Weixing ZHANG Chao HUANG Yuxiang TAO Chongcong QIU Jinhao MA Mingze |
| author_facet | YAO Weixing ZHANG Chao HUANG Yuxiang TAO Chongcong QIU Jinhao MA Mingze |
| author_sort | YAO Weixing |
| collection | DOAJ |
| description | As composite materials are playing more important role in advanced aircraft structures,the change of mechanical properties of composites during service is of significant importance for the overall safety of the aircraft.In order to achieve the goal of fatigue evaluation and life prediction of composite components of aircraft based on guided wave in-situ detection,firstly,the fatigue evolution law of composite materials is studied from the perspectives of macroscopic phenomenology and microscopic physics.Then,the potential of guided wave phase velocity and mode conversion phenomenon for fatigue characterization is discussed through analyzing the guided wave field.At the same time,a deep learning framework is constructed to extract fatigue evolution features from the guided wave field in a data-driven manner.Finally,a fatigue evolution model based on the Bayesian model averaging method is proposed to predict the residual fatigue life of the composite specimen.The results show that,by extracting and analyzing the guided wave propagating features,the fatigue state of composite materials can be accurately characterized.Combining the Bayesian model averaging method and the confidence interval criterion,the goal of residual life prediction before specimen fatigue failure is achieved. |
| first_indexed | 2024-04-10T15:52:22Z |
| format | Article |
| id | doaj.art-04808d32422e4efc8d6a2c9d0b82bd36 |
| institution | Directory Open Access Journal |
| issn | 1674-8190 |
| language | zho |
| last_indexed | 2024-04-10T15:52:22Z |
| publishDate | 2022-06-01 |
| publisher | Editorial Department of Advances in Aeronautical Science and Engineering |
| record_format | Article |
| series | Hangkong gongcheng jinzhan |
| spelling | doaj.art-04808d32422e4efc8d6a2c9d0b82bd362023-02-11T02:22:37ZzhoEditorial Department of Advances in Aeronautical Science and EngineeringHangkong gongcheng jinzhan1674-81902022-06-01133122210.16615/j.cnki.1674-8190.2022.03.0220220302Research on Fatigue Characterization and Life Prediction of Composites Based on Guided Wave In-situ DetectionYAO Weixing0ZHANG Chao1HUANG Yuxiang2TAO Chongcong3QIU Jinhao4MA Mingze5State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaState Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaState Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaState Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaState Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaState Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaAs composite materials are playing more important role in advanced aircraft structures,the change of mechanical properties of composites during service is of significant importance for the overall safety of the aircraft.In order to achieve the goal of fatigue evaluation and life prediction of composite components of aircraft based on guided wave in-situ detection,firstly,the fatigue evolution law of composite materials is studied from the perspectives of macroscopic phenomenology and microscopic physics.Then,the potential of guided wave phase velocity and mode conversion phenomenon for fatigue characterization is discussed through analyzing the guided wave field.At the same time,a deep learning framework is constructed to extract fatigue evolution features from the guided wave field in a data-driven manner.Finally,a fatigue evolution model based on the Bayesian model averaging method is proposed to predict the residual fatigue life of the composite specimen.The results show that,by extracting and analyzing the guided wave propagating features,the fatigue state of composite materials can be accurately characterized.Combining the Bayesian model averaging method and the confidence interval criterion,the goal of residual life prediction before specimen fatigue failure is achieved.http://hkgcjz.cnjournals.com/hkgcjz/article/abstract/2022075?st=article_issuecomposite materialsguided wavenon-destructive testinglife prediction |
| spellingShingle | YAO Weixing ZHANG Chao HUANG Yuxiang TAO Chongcong QIU Jinhao MA Mingze Research on Fatigue Characterization and Life Prediction of Composites Based on Guided Wave In-situ Detection Hangkong gongcheng jinzhan composite materials guided wave non-destructive testing life prediction |
| title | Research on Fatigue Characterization and Life Prediction of Composites Based on Guided Wave In-situ Detection |
| title_full | Research on Fatigue Characterization and Life Prediction of Composites Based on Guided Wave In-situ Detection |
| title_fullStr | Research on Fatigue Characterization and Life Prediction of Composites Based on Guided Wave In-situ Detection |
| title_full_unstemmed | Research on Fatigue Characterization and Life Prediction of Composites Based on Guided Wave In-situ Detection |
| title_short | Research on Fatigue Characterization and Life Prediction of Composites Based on Guided Wave In-situ Detection |
| title_sort | research on fatigue characterization and life prediction of composites based on guided wave in situ detection |
| topic | composite materials guided wave non-destructive testing life prediction |
| url | http://hkgcjz.cnjournals.com/hkgcjz/article/abstract/2022075?st=article_issue |
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