An analytical load identification based on the balancing principle for the ship stiffened panels subjected to grounding impact
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| Titel: | An analytical load identification based on the balancing principle for the ship stiffened panels subjected to grounding impact |
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| Autoren: | Zareei, Abdulkhaled, Zhou, Xueqian, Ringsberg, Jonas, 1971, Feng, Guoqing |
| Quelle: | Engineering Structures. 341 |
| Schlagwörter: | Regularization parameter choice, State-space method, Inverse problem, Regularization technique, Forward model calibration |
| Beschreibung: | The direct strength assessment of a ship subjected to the grounding incident is widely studied using Finite Element Analysis (FEA) to determine strains and stresses by assembling loads into a global load vector. As to the error-prone determination of loads through FEA, this paper presents the state-space load identification approach based on the balancing principle to address the complex challenges of imprecise load measurement, load inversion problem, and regularization techniques. In this respect, the proposed methodology facilitates the load identification, and minimizes the reliance on a priori knowledge of regularization parameter and the content of noise. Analysis of the results shows that the efficiency of the proposed algorithm for load identification is superior and the accuracy is also better than the L-curve criterion Tikhonov regularization. The final outcome may contribute to the load identification in marine engineering fields, improving rational design, and could have a great impact on the structural optimization of ships to minimize the uncertainties. |
| Dateibeschreibung: | electronic |
| Zugangs-URL: | https://research.chalmers.se/publication/547197 https://research.chalmers.se/publication/547513 https://research.chalmers.se/publication/547513/file/547513_Fulltext.pdf |
| Datenbank: | SwePub |
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Nájsť tento článok vo Web of Science | Abstract: | The direct strength assessment of a ship subjected to the grounding incident is widely studied using Finite Element Analysis (FEA) to determine strains and stresses by assembling loads into a global load vector. As to the error-prone determination of loads through FEA, this paper presents the state-space load identification approach based on the balancing principle to address the complex challenges of imprecise load measurement, load inversion problem, and regularization techniques. In this respect, the proposed methodology facilitates the load identification, and minimizes the reliance on a priori knowledge of regularization parameter and the content of noise. Analysis of the results shows that the efficiency of the proposed algorithm for load identification is superior and the accuracy is also better than the L-curve criterion Tikhonov regularization. The final outcome may contribute to the load identification in marine engineering fields, improving rational design, and could have a great impact on the structural optimization of ships to minimize the uncertainties. |
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| ISSN: | 18737323 01410296 |
| DOI: | 10.1016/j.engstruct.2025.120845 |