Ship Design Research Articles

Early Marine Systems' Design – Cracking the wicked problem - The case of a novel biomass harvesting vessel

Several IMDC contributions have argued for a better approach to capture stakeholders' expectations in vessel newbuilding projects' execution. The appropriate processes of requirements elucidation are, however, often forgotten or insufficiently handled in traditional ship design and customer-designer settings. Such situations most often reveal a situation in which both "tamed" and "wicked" problems are addressed and must be dealt with properly and effectively at the earliest stage of the process. This paper shows how such problems can be addressed by using the existing multidisciplinary methodology. A practical approach consisting of a set of methods, tools, and work processes integrated into the Accelerated Business Development (ABD) approach is applied to a specific use case, a next-generation factory stern trawler development. A detailed step-by-step story of the early vessel design process – requirements elucidation in parallel with concept design solution development – is outlined following a narrative approach. The process being described covers how necessary support information, stakeholders' expectations identification, business[1]related analyses, specific design layout, onboard comfort, and fish process handling and storage are dealt with effectively and efficiently. This case study exemplifies specific solutions to better handle particularly wicked problem situations, but also tamed problems are addressed systemically. The paper concludes by showing how a final ship design solution can look like and consequently be prepared for and to be built. The handover process and documentation from requirements capture and concept design solution development to further basic design activities are highlighted. The case vessel at hand won the prestigious “ship-of-the-year” award in Norway in 2023. The paper critically discusses what are likely to be the most important factors leading to this outcome.

Digital Twin-Enabled Response Function Analysis: A Synthetic Approach to Ship's Propulsion System Assessment

Analyzing the behavior of vessels in actual sea conditions is crucial for conceptual system design, safety and energy efficiency considerations. However, the essential seakeeping problem is reduced to the analysis of wave-hull interactions often neglecting consideration of the propulsion. But in the meantime, the synthetic consideration of wave–propulsion interactions is a key for safety and energy efficiency. Furthermore, safety evaluation of a ship's design with reduced propulsion power in adverse seas is vital for risk management. Response functions are commonly used to estimate propulsion system responses in incoming seaways. This paper proposes a synthetic approach using digital twin technology for rapid response function estimation. It introduces a companion linearized state-space model linked with the digital twin, enabling immediate retrieval of coefficients for response function analysis at the desired operating point. This integrated methodology provides a comprehensive representation of ship propulsion behavior in wave environments, offering a comprehensive framework for system performance assessment.

Educating for an unknown Future: How to prepare students of ship design for the propulsion of tomorrow

It is very likely that the students that we educate today will work with what we currently refer to as modern propulsion or alternative fuels in their career. As educators, the goal is to best prepare our students for their working life. This article looks into what a naval architecture student would need to know about these modern propulsion systems and fuels when they graduate. In this article, two types of knowledge are defined; adaptive knowledge, knowledge that spans multiple areas, and routine knowledge, that addresses a specific case. By identifying what competencies fall under the adaptive knowledge and which fall under routine knowledge, it is possible to advice on changes that should be made to the curriculum in order to best prepare students for the future.

Data models in ship design and construction – insights from 4D BIM

The lack of a cohesive understanding of a ship product data model, from design to operations, is currently a limiting factor in realizing more efficient ship lifecycle management and design processes. The paper sheds light on the history and gaps in realizing an integrated, interoperable, and multi-domain ship product data model. It also explores practices from BIM (Building Information Modelling) as an inspiration for solutions to overcome challenges related to information modeling, integrated design environment, and 4D engineering and planning.

Defining a framework for implementing the circular economy principles into ship design

This research addresses the importance of sustainability in shipping beyond fuel selection, stressing the need for responsible material usage in vessel construction and maintenance. Transitioning to a circular economy is crucial for sustainable waste management in the industry, yet current ship design neglects circularity considerations, prioritising functionality and cost. The research evaluates frameworks such as the butterfly diagram, Cradle-to-Cradle, 10R, and ReSOLVE to integrate circularity into ship design. Combining the 10R framework with the Material Circularity Indicator method, this study offers practical insights for circularity in ship design. Challenges include integrating these methods into standard design processes, which are mitigated by fusing 10R strategies with systems engineering. A case study on wheelhouse redesign demonstrates the effects of this approach, highlighting the importance of supplier collaboration for circularity enhancement.

Closing the gap between early and detailed ship design models

Conventionally, ship design and engineering are segregated activities, carried out with different software packages that thus each have their own place, qualities and tools. And consequently, a different data model. As a report on ongoing work to bridge that gap, this paper first explores existing neutral data models and standards employed or considered in maritime applications and concludes that none of these is directly applicable. It continues with describing the requirements and derived abstract data model of the SEUS project and its design and engineering applications. A graph database is identified as a potentially useful tool for SEUS data modelling, and a hands-on experiment confirms this presumption.

C-ShipGen: a conditional guided diffusion model for parametric ship hull design

Ship design is a complex design process that may take a team of naval architects many years to complete. Improving the ship design process can lead to significant cost savings, while still delivering high-quality designs to customers. A new technology for ship hull design is diffusion models, a type of generative artificial intelligence. Prior work with diffusion models for ship hull design created high-quality ship hulls with reduced drag and larger displaced volumes. However, the work could not generate hulls that meet specific design constraints. This paper proposes a conditional diffusion model that generates hull designs given specific constraints, such as the desired principal dimensions of the hull. In addition, this diffusion model leverages the gradients from a total resistance regression model to create low-resistance designs. Five design test cases compared the diffusion model to a design optimization algorithm to create hull designs with low resistance. In all five test cases, the diffusion model was shown to create diverse designs with a total resistance less than the optimized hull, having resistance reductions over 25%. The diffusion model also generated these designs without retraining. This work can significantly reduce the design cycle time of ships by creating high-quality hulls that meet user requirements with a data-driven approach.

Concept Design of Typhoon Power Generation Ship Using System Simulation

A concept of a typhoon power generation ship for utilizing enormous typhoon energy is proposed. This paper developed a system simulator for evaluating and designing the concept of a typhoon power generation ship using typhoon track history. A developed simulator was applied to the case study to design a typhoon power generation ship ship that operated near Japan. The case study showed that the annual power generation of the typhoon power generation ship tends to saturate and become constant earlier when the number of typhoons is small, in contrast to the improvement of power storage capacity. This result indicates that the appropriate size of the typhoon power generation ship exists at the current technology level.

Ammonia bunker vessel: ship design for energy transition

This paper presents the basic design of a coastal ammonia carrier, intended to facilitate the energy transition by providing small-scale bunkering services to ferries in the South Baltic Sea. Due to the size and the purpose of the ship, a classic design process which builds on the experience and benefits from the prototype ships cannot be implemented in a straightforward manner. It follows that the energy transition may have a substantial impact on the design of otherwise conventional ship types, and that a hybrid approach to ship design comprising traditional design methodologies, advanced CAD tools, and experimentation is needed.

A Service Blueprint Approach in Ship Building Activity Mapping

In the evolving landscape of shipbuilding, the confluence of innovative methodologies and advanced technologies is reshaping paradigms in ship design and production. The industry's quest for multidisciplinary methods that elaborate representing diverse ship building activities and boost efficiency in managing these activities has unveiled the potential of the service blueprint, a tool used in service design, which addresses design of activities and determining who does what activities when in collaboration with whom. Our proposition centres on the structured activity mapping representation, a novel activity map that utilizes service blueprint with detailed description of activities with rich and structured representation of context. The framework offers a comprehensive perspective, illuminating intricate processes such as concept design, detailed design and production stages as well as service and operation stages. This mapping would ensure alignment of each activity with overarching project objectives, encapsulating values, interactions, collaborations. This paper illustrates the approach of service blueprint in representing ship building activities with discussion on improvement potential of current activity mapping through the service blueprint approach as being conducted in the SEUS EU Horizon project.

“Are You Sure About That?”: Handling Uncertainty in an Early-Stage Ship Design Process

UCL teaches ship design at postgraduate and undergraduate level, using a combination of spreadsheets and commercial computer aided ship design tools. These tools produce single values for a given input and so uncertainty is only incorporated via margins. Experience has shown that students do not develop an effective understanding of engineering uncertainty using the current tools and approaches. This paper describes ongoing work to develop an “add on” to the existing UCL toolset to allow the representation of various ship parameters as uncertainty distributions. This is with the aim of better understanding of uncertainty in ship design, primarily for ship design education but with broader applications for concept design tasks.

Ship Design in the Era of Digital Transition

The evolution of ship design from a manual toward a computer-aided, digital approach has been drastic after the 1970s, with the explosive development of computer hardware and software systems. In today’s era of smart digitalization in the frame of Industry 4.0, recently introduced digital/software tools and systems increase the efficiency and quality of the life-cycle ship design process, but also the operational complexity and the demand for proper training of users of software platforms. Parametric optimisation and simulation-driven design, product lifecycle management, digital twins and artificial intelligence are nowadays frequently used by the maritime industry during the commissioning/quality control activities and in the various phases of ship design, ship operation and ship production. This paper presents an overview of notable developments in the above areas and the way ahead to respond to present and future challenges of the maritime industry.

Modular Ship Design

In this paper, we introduce a modular approach to ship design, utilizing design modules to streamline the initial design phases. Ships are conceived as combinations of a primary 'ship module' and various 'design modules' tailored for specific spaces. These modules encompass predefined geometries, layouts, and equipment configurations. We introduce an optimization model that integrates decision variables for ship attributes and configuration variables for module selection. Through this framework, we aim to simplify design complexities, accelerate the production of detailed drawings, and foster innovation in ship design methodologies.

Exploring the Opportunities of Generative Artificial Intelligence in Concept Ship Design

Designing vessels is a complex process requiring the consideration of numerous aspects to develop a successful design. Ship and submarine design often requires the designer to approximate, make assumptions, consider scenarios and imagine how the vessel may be used in operation. Having the ability to consult for feedback or request additional information may be a welcome aid. The onset of Generative AI (GENAI) presents a new opportunity to integrate this resource into the workflows of the concept ship design process. Augmenting the design process could have a positive impact on the outcome of the design, further improving various qualities such as performance, sustainability, equality, diversity and inclusion. Aspects associated with weight groups, payload catalogues, technical analysis and layout set out will be explored to investigate whether GENAI could add value to the design process. A case study will be used to facilitate this investigation, taking note of GENAI’s content throughout the process.

Ship Operation Analysis and Optimization via Mobile Application

This paper is devoted to studying the structure and prospects of ship operations analysis and optimization via mobile applications, focusing on integrating multiple existing onboard monitoring and control systems. The main parts of the paper describe the current state of the most essential components of future overall shipping and ship design optimization using onboard and cloud-based monitoring systems from a dual transition point of view. Special attention is paid to the ship’s and its equipment’s efficiency improvements, fuel consumption and emissions reduction, cost-effectiveness enhancement, metrological accuracy, and compliance with current regulations. Timely development and deployment of the proposed onboard monitoring systems, in combination with up-to-date mobile applications and cloud computing, should play a crucial role in promoting sustainable and environmentally friendly shipping practices, improving operational performance, and reducing risks to human life at sea and the environmental impact of shipping. Another objective of this research is to review the current state of infrastructure used for fuel control, focusing on measurement systems and related analytics using appropriate mobile applications. The recommendations for integrating new and adopting existing monitoring systems and equipment for promising alternative fuels must be given to meet current regulations and provide required safety levels and measurement quality.

Integration of the Power Corridor Concept in the Early-Phase Design of Electric Naval Ships using Mathematical Design Models

The aim of this paper is to illustrate the process of identifying the ‘best compromise’ solution for an all-electric destroyer at the concept design level. The design strategy reflects a paradigm shift from a sequential approach towards a holistic multicriterial approach. The destroyer is required for an extensive range and endurance, fully operable in rough sea states. A mathematical design model (MDM) that includes a set of metamodels, is implemented to evaluate the overall performance of feasible, then non-dominated designs. The power corridor concept is integrated into the MDM to optimize the location and functionality of the individual units of the power train. The fuzzy sets theory is used for normalizing and weighing incommensurable properties of candidate designs, so resolving many of the ill-defined requirements and criteria. The final result of this study is a top-level specification for the destroyer with enhanced performance and reduced power demand.

Effect of temperature on the mechanical behavior of glass fiber reinforced with hollow glass particle-filled epoxy composites

The design of marine ships and aircraft components with hollow glass particle-filled fiber-reinforced composites demands an understanding of their performance under outdoor conditions. The continuous glass fiber-reinforced epoxy matrix filled with hollow glass particles in the range of 0–0.3 vol fraction was prepared by the compression molding machine. The influence of temperature exposure on the mechanical behavior of glass fiber-reinforced hollow glass particle composites was studied by conducting tensile and flexural tests. The temperature exposure varying from room temperature up to 60 °C was used to investigate the effect of service temperature on the hollow glass particle-filled fiber composite specimens. Differential scanning calorimetry (DSC) analysis was conducted to study the glass transition behavior of the composites. The incorporation of microspheres in the glass fiber composites gradually reduced the tensile and flexural strength, while their specific values increased as increasing the microspheres. The hollow glass particle-filled fiber composites tested at 60 °C exhibited a decrease in tensile and flexural strength compared with room temperature. As the température of the test spécimens was nearer to the glass transition value, the polymer chain was softened, leading to a reduction in strength. In contrast, the modulus values remain unaffected by increasing the temperature to 60 °C.

Hull form optimization research based on multi‐precision back‐propagation neural network approximation model

AbstractIn order to shorten the optimization cycle of ship design optimization and solve the time‐consuming problem of computational fluid dynamics (CFD) numerical calculation, this paper proposes a multi‐precision back‐propagation neural network (MP‐BP) approximation technology. Fewer high‐precision ship samples and more low‐precision ship samples were used to construct an approximate model, back‐propagation (BP) neural network was used to train multi‐precision samples. So that the approximate model is as close as possible to the real model, and achieving the effect of high‐precision approximation model. Subsequently, numerical verification and typical hull form verification are given. Based on CFD and Rankine theory, the multi‐objective design optimization framework for ship comprehensive navigation performance is constructed. The multi‐objective approximation model of KCS ship is constructed by MP‐BP approximation technology, and optimized by particle swarm optimization (PSO) algorithm. The results show that the multi‐objective optimization design framework using the MP‐BP approximation model can capture the global optimal solution and improve the efficiency of the entire hull form design optimization. It can provide a certain degree of technical support for green ship and low‐carbon shipping.

접이안 상황을 고려한 바지선 운동제어에 관한 연구

접이안 상황을 고려한 바지선 운동제어에 관한 연구

Integrating Computational Fluid Dynamics for Maneuverability Prediction in Dual Full Rotary Propulsion Ships: A 4-DOF Mathematical Model Approach

To predict the maneuverability of a dual full rotary propulsion ship quickly and accurately, the integrated computational fluid dynamics (CFD) and mathematical model approach is performed to simulate the ship turning and zigzag tests, which are then compared and validated against a full-scale trial carried out under actual sea conditions. Initially, the RANS equations are solved, employing the Volume of Fluid (VOF) method to capture the free water surface, while a numerical simulation of the captive model test is conducted using the rigid body motion module. Secondly, hydrodynamic derivatives for the MMG model are obtained from the CFD simulations and empirical formula. Lastly, a four-degree-of-freedom mathematical model group (MMG) maneuvering model is proposed for the dual full rotary propulsion ship, incorporating full-scale simulations of turning and zigzag tests followed by a full-scale trial for comparative validation. The results indicate that the proposed method has a high accuracy in predicting the maneuverability of dual full-rotary propulsion ships, with an average error of less than 10% from the full-scale trial data (and within 5% for the tactical diameters in particular) in spite of the influence of environmental factors such as wind and waves. It provides experience in predicting the maneuverability of a full-scale ship during the ship design stage.