Recent advances in Discrete-Module-Beam-based hydroelasticity method as an efficient tool approach for continuous very large floating structures
Abstract Very Large Floating Structures (VLFS) have gained significant attention due to their vast potential for utilising ocean space, contributing to reduced carbon emissions and supporting the Net Zero Emission scenario. Over the last decade, the urbanisation problem has led to an increase in global energy consumption and climate change. Despite the continued studies and […]
Effect of plate-stiffener combination modelling uncertainty on ship’s hull girder ultimate strength reliability in vertical bending
Abstract Vertical bending moment, resulting from uneven weight distribution, buoyancy, and dynamic wave forces, is a primary load component influencing ship hull structures. In extreme conditions, excessive bending can exceed a hull girder's ultimate strength, potentially causing catastrophic failure, commonly referred to as "breaking of its back." Assessing the ultimate capacity of ship hull girders […]
Effect of Cracks on the Compressive Ultimate Strength of Plate and Stiffened Panel under Biaxial Loads: A Finite Element Analysis
Abstract Crack damage can significantly reduce the ultimate strength of marine structures, potentially leading to progressive collapse. This study employs finite element analysis to investigate how cracks affect the strength of plates and stiffened panels under uniaxial and biaxial compression, providing insights essential for robust structural design. The effects of crack size and orientation are […]
Analytical Framework for Liquid Hydrogen Storage Tanks in UAVs: Thermal Performance Validation and Structural Integrity Assessment
Abstract The aviation industry faces increasing pressure to transition to environmentally friendly propulsion systems, with hydrogen emerging as a promising solution for unmanned aerial vehicles (UAVs). This study presents a comprehensive analytical framework integrating thermal, structural, fatigue, and impact analyses to evaluate liquid hydrogen storage tanks for UAV applications, addressing the complex challenges in maintaining both thermal performance and structural […]
Comprehensive analysis of optimal operation conditions for alkaline water electrolysis focusing on efficiency and hydrogen purity using numerical modeling
Abstract As renewable energy capacity increases globally, seasonal energy imbalances have become more pronounced. Hydrogen production through water electrolysis enables monthly energy storage and can address the energy imbalance of renewable energy. In this study, numerical model of a 10 kW (20 cell) alkaline water electrolysis (AWE) system is developed using AMESim®. The model includes the stack, […]
4E(Energetic, Exergetic, Economic, and Exergoeconomic) analysis and optimization of fuel utilization in a methane-fueled cascade SOFC system with a fuel regenerator
Abstract This study aims to evaluate the performance of a novel cascade solid oxide fuel cell (SOFC) system that integrates a fuel regenerator and features a parallel stack configuration for emergency stability and to enhance operational flexibility and independent stack control. At 80 % fuel utilization for both stacks, the system achieves a maximum electrical efficiency […]
Decarbonizing cement production via tail-end integration of solid oxide electrolysis for CO2 reduction
Abstract The calcination process in cement production plants (CPPs) accounts for over 60 % of carbon dioxide (CO2) emissions; therefore, carbon capture processes is essential for reducing greenhouse gases. Additionally, high-purity CO serves as a reactant in chemical industries and as an energy storage medium, due to its lower energy requirements for storage and transportation compared […]
Effective Data Augmentation for Active Sonar Classification Using Attention-Based Complementary Learning With Uncertainty Measure
Abstract We enhance the performance of active sonar classification by integrating a validated attention-based complementary learning model (ABCL) with an active learning (AL) framework, following modifications to adapt the model for AL. Acoustic data from active sonar systems strongly depend on ocean environmental conditions and deep learning (DL) models trained on limited active sonar data […]
Search Method for Ship Regulations Based on Semantic Similarity Using Natural Language Processing
Abstract We proposed a ship regulation search method based on semantic similarities using natural language processing (NLP) technology. First, we proposed a data preprocessing algorithm to convert ship regulations in the PDF format into a dataset for search purposes. We extracted basic elements from ship regulations, removed elements that hindered search accuracy, and generated a […]
