A Structural Reliability Analysis Method Considering Multiple Correlation Features
The paper analyzes the correlation features between stress strength, multiple failure mechanisms, and multiple components. It investigates the effects of different correlation features on reliability and proposes a method for structural reliability analysis that considers the joint effects of multip...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-03-01
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| Series: | Machines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-1702/12/3/210 |
| _version_ | 1797240236516835328 |
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| author | Xiaoning Bai Yonghua Li Dongxu Zhang Zhiyang Zhang |
| author_facet | Xiaoning Bai Yonghua Li Dongxu Zhang Zhiyang Zhang |
| author_sort | Xiaoning Bai |
| collection | DOAJ |
| description | The paper analyzes the correlation features between stress strength, multiple failure mechanisms, and multiple components. It investigates the effects of different correlation features on reliability and proposes a method for structural reliability analysis that considers the joint effects of multiple correlation features. To portray the stress–strength correlation structure, the Copula function is utilized and the influence of the correlation degree parameter on reliability is clarified. The text describes the introduction of time-varying characteristics of structural strength and correlation parameters. A time-varying Copula is then constructed to calculate the structural reliability under the stress–strength correlation characteristics. Additionally, a time-varying hybrid Copula is constructed to characterize the intricate and correlation features of multiple failure mechanisms and components. The article proposes the variational adaptive sparrow search algorithm (VASSA) to obtain optimal parameters for the time-varying hybrid Copula. The effectiveness and accuracy of the proposed method are verified through actual cases. The results indicate that multiple correlation features significantly influence structural reliability. Incorporating multiple correlation features into the solution of structural reliability yields safer results that align with engineering practice. |
| first_indexed | 2024-04-24T18:04:13Z |
| format | Article |
| id | doaj.art-dd7d36bb8866421d86c58880819eafa7 |
| institution | Directory Open Access Journal |
| issn | 2075-1702 |
| language | English |
| last_indexed | 2024-04-24T18:04:13Z |
| publishDate | 2024-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Machines |
| spelling | doaj.art-dd7d36bb8866421d86c58880819eafa72024-03-27T13:51:55ZengMDPI AGMachines2075-17022024-03-0112321010.3390/machines12030210A Structural Reliability Analysis Method Considering Multiple Correlation FeaturesXiaoning Bai0Yonghua Li1Dongxu Zhang2Zhiyang Zhang3School of Mechanical Engineering, Dalian Jiaotong University, Dalian 116028, ChinaCollege of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University, Dalian 116028, ChinaCollege of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University, Dalian 116028, ChinaCollege of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University, Dalian 116028, ChinaThe paper analyzes the correlation features between stress strength, multiple failure mechanisms, and multiple components. It investigates the effects of different correlation features on reliability and proposes a method for structural reliability analysis that considers the joint effects of multiple correlation features. To portray the stress–strength correlation structure, the Copula function is utilized and the influence of the correlation degree parameter on reliability is clarified. The text describes the introduction of time-varying characteristics of structural strength and correlation parameters. A time-varying Copula is then constructed to calculate the structural reliability under the stress–strength correlation characteristics. Additionally, a time-varying hybrid Copula is constructed to characterize the intricate and correlation features of multiple failure mechanisms and components. The article proposes the variational adaptive sparrow search algorithm (VASSA) to obtain optimal parameters for the time-varying hybrid Copula. The effectiveness and accuracy of the proposed method are verified through actual cases. The results indicate that multiple correlation features significantly influence structural reliability. Incorporating multiple correlation features into the solution of structural reliability yields safer results that align with engineering practice.https://www.mdpi.com/2075-1702/12/3/210correlationmultiple failure mechanismsstructural reliabilitytime-varying hybrid copulaVASSA |
| spellingShingle | Xiaoning Bai Yonghua Li Dongxu Zhang Zhiyang Zhang A Structural Reliability Analysis Method Considering Multiple Correlation Features Machines correlation multiple failure mechanisms structural reliability time-varying hybrid copula VASSA |
| title | A Structural Reliability Analysis Method Considering Multiple Correlation Features |
| title_full | A Structural Reliability Analysis Method Considering Multiple Correlation Features |
| title_fullStr | A Structural Reliability Analysis Method Considering Multiple Correlation Features |
| title_full_unstemmed | A Structural Reliability Analysis Method Considering Multiple Correlation Features |
| title_short | A Structural Reliability Analysis Method Considering Multiple Correlation Features |
| title_sort | structural reliability analysis method considering multiple correlation features |
| topic | correlation multiple failure mechanisms structural reliability time-varying hybrid copula VASSA |
| url | https://www.mdpi.com/2075-1702/12/3/210 |
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