Gaidai multivariate risk assessment method for cargo ship dynamics
ABSTRACTContemporary cargo vessel transport constitutes a vital part of the global trade and economy. Thus, it is of primary engineering and design importance to further develop more efficient novel risk analysis and risk assessment methods for large cargo ships. Classical risk assessment and risk a...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
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| Series: | Urban, Planning and Transport Research |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/21650020.2024.2327362 |
| _version_ | 1797266084961714176 |
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| author | Oleg Gaidai Jinlu Sheng Yu Cao Fuxi Zhang Yan Zhu Zirui Liu |
| author_facet | Oleg Gaidai Jinlu Sheng Yu Cao Fuxi Zhang Yan Zhu Zirui Liu |
| author_sort | Oleg Gaidai |
| collection | DOAJ |
| description | ABSTRACTContemporary cargo vessel transport constitutes a vital part of the global trade and economy. Thus, it is of primary engineering and design importance to further develop more efficient novel risk analysis and risk assessment methods for large cargo ships. Classical risk assessment and risk analysis methodsmay not always have advantages of efficiently dealing with dynamic system’s high dimensionality along with cross-correlations between various critical dimensions. Current study benchmarks state-of-art Gaidai spatiotemporal structural risk assessment method, suitable for multivariate structural dynamic systems versus a well-established bivariate risk assessment method. As an example, for this risk assessment study, an operating container vessel has been selected. The vessel hull had been subjected to large deck panel stresses and accelerations during cross-Atlantic sailing. Risks of losing cargo containers are caused by extreme dynamics being one of the primary concerns for vessel cargo transport. Gaidai multivariate risk assessment methodology, advocated here, opens up new possibilities of predicting efficiently, yet simply potential structural damage/failure risks for nonstationary, nonlinear, multivariate cargo ship dynamic systems, as a whole. Note that advocated novel multivariate risk assessment method may be applied to a wide range of complex marine and offshore engineering systems. |
| first_indexed | 2024-04-25T00:55:04Z |
| format | Article |
| id | doaj.art-7b1933fea6004a759e823c71571f03b9 |
| institution | Directory Open Access Journal |
| issn | 2165-0020 |
| language | English |
| last_indexed | 2024-04-25T00:55:04Z |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Urban, Planning and Transport Research |
| spelling | doaj.art-7b1933fea6004a759e823c71571f03b92024-03-11T11:35:43ZengTaylor & Francis GroupUrban, Planning and Transport Research2165-00202024-12-0112110.1080/21650020.2024.2327362Gaidai multivariate risk assessment method for cargo ship dynamicsOleg Gaidai0Jinlu Sheng1Yu Cao2Fuxi Zhang3Yan Zhu4Zirui Liu5College of Engineering Science and Technology, Shanghai Ocean University, Shanghai, ChinaSchool of Shipping and Naval Architecture, Chongqing Jiao Tong University, Chongqing, ChinaCollege of Engineering Science and Technology, Shanghai Ocean University, Shanghai, ChinaCollege of Engineering Science and Technology, Shanghai Ocean University, Shanghai, ChinaSchool of Naval Architecture and Ocean Engineering, Jiangsu University of Science and Technology, Zhenjiang, ChinaCollege of Engineering Science and Technology, Shanghai Ocean University, Shanghai, ChinaABSTRACTContemporary cargo vessel transport constitutes a vital part of the global trade and economy. Thus, it is of primary engineering and design importance to further develop more efficient novel risk analysis and risk assessment methods for large cargo ships. Classical risk assessment and risk analysis methodsmay not always have advantages of efficiently dealing with dynamic system’s high dimensionality along with cross-correlations between various critical dimensions. Current study benchmarks state-of-art Gaidai spatiotemporal structural risk assessment method, suitable for multivariate structural dynamic systems versus a well-established bivariate risk assessment method. As an example, for this risk assessment study, an operating container vessel has been selected. The vessel hull had been subjected to large deck panel stresses and accelerations during cross-Atlantic sailing. Risks of losing cargo containers are caused by extreme dynamics being one of the primary concerns for vessel cargo transport. Gaidai multivariate risk assessment methodology, advocated here, opens up new possibilities of predicting efficiently, yet simply potential structural damage/failure risks for nonstationary, nonlinear, multivariate cargo ship dynamic systems, as a whole. Note that advocated novel multivariate risk assessment method may be applied to a wide range of complex marine and offshore engineering systems.https://www.tandfonline.com/doi/10.1080/21650020.2024.2327362Container shiptradeAIship motionsdynamic systemtransportation |
| spellingShingle | Oleg Gaidai Jinlu Sheng Yu Cao Fuxi Zhang Yan Zhu Zirui Liu Gaidai multivariate risk assessment method for cargo ship dynamics Urban, Planning and Transport Research Container ship trade AI ship motions dynamic system transportation |
| title | Gaidai multivariate risk assessment method for cargo ship dynamics |
| title_full | Gaidai multivariate risk assessment method for cargo ship dynamics |
| title_fullStr | Gaidai multivariate risk assessment method for cargo ship dynamics |
| title_full_unstemmed | Gaidai multivariate risk assessment method for cargo ship dynamics |
| title_short | Gaidai multivariate risk assessment method for cargo ship dynamics |
| title_sort | gaidai multivariate risk assessment method for cargo ship dynamics |
| topic | Container ship trade AI ship motions dynamic system transportation |
| url | https://www.tandfonline.com/doi/10.1080/21650020.2024.2327362 |
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