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[Articles In Press]
Parametric Assessment of Hull Geometry Effects on the Coupled Dynamics of Semi-Submersible Floating Wind Turbines
P. 1-19
Abstract
(781 Views) |
Full-Text (PDF)
(164 Downloads)
| Graphical Abstract
| Highlights
Highlights
| Audio file of the article abstract [MP3] (41 Download)
- A systematic parametric numerical study was conducted to examine the coupled dynamics of a semi-submersible floating wind turbine platform.
- A two-stage workflow combining linear screening and nonlinear time-domain simulations was employed to provide a more realistic response assessment.
- Surge, heave, and pitch were identified as the dominant motions, while sway, roll, and yaw remained negligible in the investigated cases.
- Platform performance was governed by interacting design variables, including heave-plate geometry, offset-column configuration, mass distribution, and mooring characteristics.
- The results indicate a favorable and stable design range, supporting a robust design envelope rather than a single unique optimum.
P. 20-30
Abstract
(152 Views) |
Full-Text (PDF)
(46 Downloads)
| Graphical Abstract
| Highlights
Highlights
1. Critical Role of Stern Tube Monitoring, ensuring safe and reliable ship operation requires continuous monitoring of the stern tube as a key marine component.
2. AI-Driven Oil Analysis, the study integrates real oil analysis data with advanced AI algorithms, achieving about 85% accuracy.
3. Real-World Validation, the proposed method was successfully validated under actual sea operating conditions.
4. Early Fault Detection, potential failures were identified up to six months before dry docking, enabling timely maintenance and risk reduction.
5. Enhanced Reliability and Sustainability, combining tribology with data-driven analytics improve stern tube reliability and supports sustainable maritime operation.
| Audio file of the article abstract [MP3] (7 Download)
1. Critical Role of Stern Tube Monitoring, ensuring safe and reliable ship operation requires continuous monitoring of the stern tube as a key marine component.
2. AI-Driven Oil Analysis, the study integrates real oil analysis data with advanced AI algorithms, achieving about 85% accuracy.
3. Real-World Validation, the proposed method was successfully validated under actual sea operating conditions.
4. Early Fault Detection, potential failures were identified up to six months before dry docking, enabling timely maintenance and risk reduction.
5. Enhanced Reliability and Sustainability, combining tribology with data-driven analytics improve stern tube reliability and supports sustainable maritime operation.
Numerical Modeling of the Sedimentation in the Chabahar Bay Area under the Influence of Shahid Beheshti Port Development
P. 31-41
Abstract
(84 Views) |
Full-Text (PDF)
(36 Downloads)
| Graphical Abstract
| Highlights
Highlights
A calibrated MIKE21 model successfully simulated wave, current, and sediment dynamics in Chabahar Bay.
Port development reduced wave energy, modified hydrodynamic circulation, and altered sediment transport pathways, increasing deposition between Shahid Beheshti and Shahid Kalantari Ports while identifying erosion-prone coastal zones.
The results provide a reliable tool for sustainable port development and coastal management.
| Audio file of the article abstract [MP3] (8 Download)
A calibrated MIKE21 model successfully simulated wave, current, and sediment dynamics in Chabahar Bay.
Port development reduced wave energy, modified hydrodynamic circulation, and altered sediment transport pathways, increasing deposition between Shahid Beheshti and Shahid Kalantari Ports while identifying erosion-prone coastal zones.
The results provide a reliable tool for sustainable port development and coastal management.
