A De-Nesting Hybrid Reliability Analysis Method and Its Application in Marine Structure
In recent years, marine structures have been widely used in the world, making significant contributions to the utilization of marine resources. In the design of marine structures, there is a hybrid reliability problem arising from aleatory uncertainty and epistemic uncertainty. In many cases, episte...
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| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Journal of Marine Science and Engineering |
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| Online Access: | https://www.mdpi.com/2077-1312/12/12/2221 |
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| author | Chenfeng Li Tenglong Jin Zequan Chen Guanchen Wei |
| author_facet | Chenfeng Li Tenglong Jin Zequan Chen Guanchen Wei |
| author_sort | Chenfeng Li |
| collection | DOAJ |
| description | In recent years, marine structures have been widely used in the world, making significant contributions to the utilization of marine resources. In the design of marine structures, there is a hybrid reliability problem arising from aleatory uncertainty and epistemic uncertainty. In many cases, epistemic uncertainty is estimated by interval parameters. Traditional methods for hybrid reliability analysis usually require a nested optimization framework, which will lead to too many calls to the limit state function (LSF) and result in poor computational efficiency. In response to this problem, this paper proposes a de-nesting hybrid reliability analysis method creatively. Firstly, it uses the p-box model to describe the epistemic uncertainty variables, and then the linear approximation (LA) model and the two-point adaptive nonlinear approximation (TANA) model are combined to approximate the upper and lower bounds of LSF with epistemic uncertainty. Based on the first-order reliability method (FORM), an iterative operation is used to obtain the interval of the non-probability hybrid reliability index. The traditional nested optimization structure is effectively eliminated by the above approximation method, which efficiently reduces the times of LSF calls and increases the calculation speed while preserving sufficient accuracy. Finally, one numerical example and two engineering examples are provided to show the greater effectiveness of this method than the traditional nested optimization method. |
| format | Article |
| id | doaj-art-c390b995a02145caab0c67a20b117185 |
| institution | Kabale University |
| issn | 2077-1312 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj-art-c390b995a02145caab0c67a20b1171852024-12-27T14:33:17ZengMDPI AGJournal of Marine Science and Engineering2077-13122024-12-011212222110.3390/jmse12122221A De-Nesting Hybrid Reliability Analysis Method and Its Application in Marine StructureChenfeng Li0Tenglong Jin1Zequan Chen2Guanchen Wei3College of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001, ChinaCollege of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001, ChinaCollege of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001, ChinaCollege of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001, ChinaIn recent years, marine structures have been widely used in the world, making significant contributions to the utilization of marine resources. In the design of marine structures, there is a hybrid reliability problem arising from aleatory uncertainty and epistemic uncertainty. In many cases, epistemic uncertainty is estimated by interval parameters. Traditional methods for hybrid reliability analysis usually require a nested optimization framework, which will lead to too many calls to the limit state function (LSF) and result in poor computational efficiency. In response to this problem, this paper proposes a de-nesting hybrid reliability analysis method creatively. Firstly, it uses the p-box model to describe the epistemic uncertainty variables, and then the linear approximation (LA) model and the two-point adaptive nonlinear approximation (TANA) model are combined to approximate the upper and lower bounds of LSF with epistemic uncertainty. Based on the first-order reliability method (FORM), an iterative operation is used to obtain the interval of the non-probability hybrid reliability index. The traditional nested optimization structure is effectively eliminated by the above approximation method, which efficiently reduces the times of LSF calls and increases the calculation speed while preserving sufficient accuracy. Finally, one numerical example and two engineering examples are provided to show the greater effectiveness of this method than the traditional nested optimization method.https://www.mdpi.com/2077-1312/12/12/2221structural reliabilityFORMapproximation modelde-nestingmarine structure |
| spellingShingle | Chenfeng Li Tenglong Jin Zequan Chen Guanchen Wei A De-Nesting Hybrid Reliability Analysis Method and Its Application in Marine Structure Journal of Marine Science and Engineering structural reliability FORM approximation model de-nesting marine structure |
| title | A De-Nesting Hybrid Reliability Analysis Method and Its Application in Marine Structure |
| title_full | A De-Nesting Hybrid Reliability Analysis Method and Its Application in Marine Structure |
| title_fullStr | A De-Nesting Hybrid Reliability Analysis Method and Its Application in Marine Structure |
| title_full_unstemmed | A De-Nesting Hybrid Reliability Analysis Method and Its Application in Marine Structure |
| title_short | A De-Nesting Hybrid Reliability Analysis Method and Its Application in Marine Structure |
| title_sort | de nesting hybrid reliability analysis method and its application in marine structure |
| topic | structural reliability FORM approximation model de-nesting marine structure |
| url | https://www.mdpi.com/2077-1312/12/12/2221 |
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