MMO5004 Maritime Computational Fluid Dynamics

Contents and structure

The students attending successful the course acquire an advanced understanding of the conceptual design of models in the field of maritime sciences. The way is shown to a suitable modeling strategy of a complex maritime system. Special emphasis will be placed on a broad introduction of the scientific term modeling. The most relevant scientific modeling concepts will be introduced both from engineering and economic points of view.

Learning Outcome

Knowledge:

Theory of complex systems with regard to maritime sciences

• Introduction to systems theory with a special focus on applications in maritime sciences Teaching of a fundamental scientific model building theory regardless of the field of specialisation:
• basic knowledge on the need and availability of appropriate measurement techniques for the understanding of involved processes and the steering, calibration and verification of models

 

• basic knowledge on maritime measurement techniques in laboratory and nature

 

• basic knowledge about collecting data via market-/opinion research

 

• basic knowledge on the intended application of a broad range of different types of mathematical models in the maritime sciences: assistance ¿Which model is useful when¿?¿ ¿ a guide from the feasibility of cellular automata  in traffic simulation to the performance of computational fluid dynamics for the design of sailing systems or offshore structures.

 

 

Close links to applied maritime topics:

 

• specific scope on translating the parameters of complex maritime business processes into stochastic models. Possible example for exercises: aspects of insurance mathematics with regard to georisks for vessels and maritime structures

 

• scope on special engineering applications such as the theory of similarity. Possible example for exercises: opportunities and limits of generating solutions on the basis of fluid dynamic scale models for the hulls of vessels or marine processes such as sediment transport in waterways

 

 

Quality management of modeling results

 

• knowledge on limitations of mathematical models, risk of empirical approaches included in mathematical models

 

• limits of accuracy of different modeling concepts

 

• error propagation along a model chain for the description of a complex maritime system

 

Skills:

Students

• can indicate the truly relevant processes of complex maritime systems
• can create measurement campaigns for understanding the identified processes in a targeted manner
• can design a modeling concept for understanding a complex system including empirical and mathematical models

General Qualifications:

 Students

• can plan, conduct and evaluate smaller investigations of complex problems on the basis of models
• can supervise the quality of ordered investigations on the basis of models

Entry requirements

None.

Recommended previous knowledge

Basic knowledge in engineering science such as mathematics, statistics, informatics, engineering mechanics, fluid dynamics, working in research projects.

Teaching methods

The course contains lectures, project-oriented conceptual exercises in the lecture room and comprehensive computational and experimental lab exercises. Lecturers and students will collaborate and communicate in the special labs for project-oriented learning in the Center for Modeling and Simulation at the campus Leer of the University of Applied Science Emden/Leer.

Compulsory learning activities

Yes, (will be specified in the course plan by semester start).

Assessment

Portfolio, 100%.

Examination support material

Will be declared during the lectures.

More about examination support material