Multimodal Gaidai State‐of‐the‐Art Limit Hypersurface Methodology for Container Vessels With Multiple Failure Modes DOI Creative Commons
Yan Zhu, Oleg Gaidai,

Shao-Ping He

et al.

IET Intelligent Transport Systems, Journal Year: 2025, Volume and Issue: 19(1)

Published: Jan. 1, 2025

ABSTRACT This case study presents state‐of‐the‐art, multimodal structural reliability and risk evaluation methodology, particularly suitable for naval architecture, transportation marine engineering applications. Existing methods do not easily tackle systems with a number of critical components higher than 2, while the advocated methodology has no limitations on system's dimensions, parts or components. The 4400 TEU container vessel's onboard measured deck panel stresses raw data, collected during numerous trans‐Atlantic crossings, was analysed. Risk ship hull damage caused by excessive whipping (slamming springing) wave loads, representing types highly nonlinear wave‐induced vibrations, are among primary safety concerns contemporary industry. It is often challenging to accurately forecast hot‐spot stresses, possessing complex nonlinear, nonstationary properties. proposed hypersurface method fully accounts large components, as well dynamic nonlinearities. Lab testing may be disputed, obtained measurements will depend biased incident properties model scales. As result, dataset, from particular cargo ship, operating in North Atlantic provides especially valuable insights into an overall vessel durability reliability. investigation aimed at providing generic state‐of‐the‐art enabling accurate extraction pertinent information about dynamics, e.g., derived sensor‐recorded time histories. Utilising failure, hazard risks effectively yet forecasted, based spatially distributed stresses. presented hazards systems, having virtually unlimited numbers principal/key made use full scale kindly provided Det Norske Veritas, Oslo, Norway (DNV), which commercially its own.

Language: Английский

Experimental Gaidai multi-modal risk assessment approach for wind energy harvesters DOI Creative Commons
Oleg Gaidai,

Jinlu Sheng,

Alia Ashraf

et al.

Applications in Engineering Science, Journal Year: 2025, Volume and Issue: unknown, P. 100209 - 100209

Published: Feb. 1, 2025

Language: Английский

Citations

3
Multi-variate structural reliability assessment for wind energy harvester by Gaidai risk assessment method DOI
Oleg Gaidai,

Shao-Ping He,

Jinlu Sheng

et al.

Mechanics Based Design of Structures and Machines, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 14

Published: April 10, 2025

Language: Английский

Citations

0
Multimodal Gaidai State‐of‐the‐Art Limit Hypersurface Methodology for Container Vessels With Multiple Failure Modes DOI Creative Commons
Yan Zhu, Oleg Gaidai,

Shao-Ping He

et al.

IET Intelligent Transport Systems, Journal Year: 2025, Volume and Issue: 19(1)

Published: Jan. 1, 2025

ABSTRACT This case study presents state‐of‐the‐art, multimodal structural reliability and risk evaluation methodology, particularly suitable for naval architecture, transportation marine engineering applications. Existing methods do not easily tackle systems with a number of critical components higher than 2, while the advocated methodology has no limitations on system's dimensions, parts or components. The 4400 TEU container vessel's onboard measured deck panel stresses raw data, collected during numerous trans‐Atlantic crossings, was analysed. Risk ship hull damage caused by excessive whipping (slamming springing) wave loads, representing types highly nonlinear wave‐induced vibrations, are among primary safety concerns contemporary industry. It is often challenging to accurately forecast hot‐spot stresses, possessing complex nonlinear, nonstationary properties. proposed hypersurface method fully accounts large components, as well dynamic nonlinearities. Lab testing may be disputed, obtained measurements will depend biased incident properties model scales. As result, dataset, from particular cargo ship, operating in North Atlantic provides especially valuable insights into an overall vessel durability reliability. investigation aimed at providing generic state‐of‐the‐art enabling accurate extraction pertinent information about dynamics, e.g., derived sensor‐recorded time histories. Utilising failure, hazard risks effectively yet forecasted, based spatially distributed stresses. presented hazards systems, having virtually unlimited numbers principal/key made use full scale kindly provided Det Norske Veritas, Oslo, Norway (DNV), which commercially its own.

Language: Английский

Citations

0