Optimum Design
Hull Form Optimization
We are studying an integrated method for hull form optimization to improve upon the existing method, which was time-consuming and underperformed.
– Representation of hull forms using an MLP (multilayer perceptron) architecture
– Self-updating surrogate model
– Hull form optimization based on the MLP architecture and the self-updating surrogate model
Arrangement Design Framework
We are studying a standardized framework for the arrangement design of ships and offshore structures. The proposed framework has been applied to various examples, including the compartment and equipment arrangement of naval ships, the equipment arrangement in ship engine rooms, and the arrangement of modules and equipment on the topside of offshore structures (FPSO).
– Data structures for storing arrangement design information
– Expert system for arrangement design
– Formulation of the arrangement optimization problem and optimization algorithms
– User interface
Automated Pipe Routing
We are studying an automated pipe routing method that accounts for past data of previous ships, expert knowledge, and ship-specific features. In particular, we are focusing on developing a practical method for use in actual shipyard operations.
– Utilizing deep learning to analyze past data of previous ships and create a database
– Developing an expert system that digitizes expert knowledge and experience
– Applying algorithms that account for ship-specific features for pipe routing
– Incorporating efficient pipe routing algorithms, such as an editing design function
Crew Manning Optimization
We are studying an optimization method for crew manning of smart naval ships. Specifically, we are studying how to optimize crew composition—that is, the number of crew members by department, job function, and rank—across various scenarios, while accounting for the operational characteristics of the naval ship.
– Determining initial crew composition using past data of previous ships
– Adjusting crew composition using an expert system
– Evaluating the performance of scenario-specific crew composition using Discrete Event Simulation (DEVS)
– Optimizing crew composition using global optimization algorithms
Mastic Rope Optimization
We are studying an optimization method to reduce the amount of mastic ropes used between the hull structure and the insulation panels inside LNG cargo tanks.
– In-house program for mastic rope arrangement
– Formulation of the optimization problem and optimization algorithms to minimize mastic rope usage
– Method for optimizing mastic rope patterns
Optimal Lug Arrangement
We are studying the optimal arrangement of the various lugs required to lift blocks using a crane in shipyards. The proposed method determines the minimum number and optimal positions of lugs to ensure safe lifting of blocks (preventing blocks from falling or shifting during lifting) by considering the block’s shape and center of gravity.
– Calculation of the block’s initial position based on lug arrangement
– Calculation of the block’s orientation and tension using multibody system dynamics
– Formulation of the optimization problem for lug arrangement and optimization algorithms