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XML Adapting Semi-Empirical Ship Vibration Analysis: A Hybrid ML Approach to Generalized Vibration Prediction
P. 1-10
Kimia Nazarizadeh , Hashem Nowruzi *
Abstract (631 Views) | Full-Text (PDF) (139 Downloads)   |   Graphical Abstract   |   Highlights

Highlights
  1. Hybrid ML model (RF + LR) predicts ship vibrations with high accuracy.
  2. Achieves R²=0.9938 & near-zero MSE for key parameter α on 373 ships.
  3. Validated on 34 ship types; <3% error in natural frequency prediction.
  4. Length, displacement, block coefficient are top predictors (>60% importance).
  5. Enables cost-effective design optimization & predictive maintenance for safety.

 
| Audio file of the article abstract [MP3]  (27 Download)

XML Integrating Systems Thinking into Resilient Infrastructure Design: A Case Study on the Shahid Rajaee Port Explosion
P. 11-34
Seyed morteza Marashian , Ruhollah Amirabadi * , Mehdi Adjami
Abstract (556 Views) | Full-Text (PDF) (183 Downloads)   |   Graphical Abstract   |   Highlights

Highlights:
  • True resilience requires "intelligent redundancy" harmonizing inherent ecological adaptability, correlation-centric dependency mapping, and stakeholder-driven self-organization. 
  • Evidence from Shahid Beheshti port confirms proportional capacity distribution and hazard-diversified risk management are essential across port networks. 
  • Operationalizing resilience demands converting policies into technical metrics (e.g., chaos-theoretic capacity dispersion), embedding modular flexibility, and institutionalizing distributed adaptive control nuclei.
  • Integrated correlation-aware redundancy—not isolated backups—aligns socio-economic-environmental performance with sustainability across hazard cycles.

| Audio file of the article abstract [MP3]  (23 Download)

XML Performance Analysis of Ports Based on the Concepts of Risk, Resilience, Reliability, and Sustainability with a Special Focus on Shahid Rajaee Port
P. 35-45
YASAMIN HASANI ASYABDAREH * , Hassan Akbari
Abstract (408 Views) | Full-Text (PDF) (144 Downloads)   |   Graphical Abstract   |   Highlights

Highlights

1- Focus on the key concepts of port management and planning, emphasizing the differences, similarities, and requirements for the realization of each concept.
2- Case study of Shahid Rajaee Port, addressing current issues, identifying problems and shortcomings, and providing practical solutions to prevent similar incidents and enhance sustainability.
3- Examination of internal and external opportunities and threats of Shahid Rajaee Port and proposing various strategies to leverage capacities and mitigate threats.
| Audio file of the article abstract [MP3]  (17 Download)

XML Hydrodynamic Performance Analysis of Modular Chain-Type Floating Docks for High-Speed Boat Operations in Semi-Enclosed Port Basins: A Multi-Body Simulation Approach using ANSYS AQWA
P. 46-60
Seyed Reza Samaei , Mohammad Asadian Ghahfarokhi *
Abstract (411 Views) | Full-Text (PDF) (70 Downloads)   |   Graphical Abstract   |   Highlights

Highlights

· Comprehensive hydrodynamic analysis of modular, chain-type floating docks optimized for high-speed vessel operations in semi-enclosed basins.
· Multi-body simulations in ANSYS AQWA under varying wave angles reveal optimal design configurations with improved stability.
· Multi-body systems significantly reduce vertical displacement, enhancing load distribution and structural performance.
· Elastic mooring systems improve adaptability, minimize environmental impact, and ensure robust stabilization.
· Findings provide sustainable solutions for defense and commercial ports, contributing to resilient and cost-effective coastal infrastructure.
 
| Audio file of the article abstract [MP3]  (20 Download)

XML A comprehensive review of air purification technologies in submarine atmospheres
P. 61-71
Kianoosh Salek , Tahere Taghizade Firozjaee *
Abstract (100 Views) | Full-Text (PDF) (37 Downloads)   |   Graphical Abstract   |   Highlights

Highlights

  • A comprehensive review of anthropogenic and natural sources of marine noise pollution

  • Analysis of the physiological and behavioral effects of noise on marine mammals and fish

  • Highlighting consequences such as hearing impairment, migration route disruption, and population decline

  • Examination of species’ hearing sensitivity across different frequency ranges

  • Identification of the limitations of previous studies in the field of marine noise


| Audio file of the article abstract [MP3]  (6 Download)

XML Development of a Deep Neural Network Model for Predicting Operational Parameters in Plate Forming via Line Heating
P. 72-79
Ali Tasbihi * , Ashkan Babazadeh , Seyed Mohsen Moosavi
Abstract (50 Views) | Full-Text (PDF) (19 Downloads)   |   Graphical Abstract   |   Highlights

Highlights 
  • The study focuses on developing a Deep Neural Network (DNN) to predict optimal parameters for forming steel plates using line heating in shipbuilding.
  • A thermo-mechanical finite element model was created with ANSYS to simulate deformations from various heating configurations, generating the data to train the DNN.
  • The trained DNN model can predict the necessary heat source speed, heat input, and the number of heating passes to achieve a desired plate shape.
  • The model achieved an average predictive accuracy of 49.92%, with over 80% accuracy for cases with distinct deformation patterns.
  • This integration of simulation and AI serves as a decision-support tool to enhance efficiency, consistency, and automation in shipbuilding.

| Audio file of the article abstract [MP3]  (2 Download)

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