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Computational Modelling – Hydraulic and Offshore Structures

Welcome to the Computational Modelling unit, a shared component of several courses within the Hydraulic and Offshore Structures track, as well as the Offshore and Dredging Engineering MSc program.


📚 Embedded Modules

This unit is part of all Module B courses in the Hydraulic and Offshore Structures track:

  • CIEM4210Marine Renewables
  • CIEM4220Dams, Dikes and Breakwaters
  • CIEM4230Floating and Submerged Structures

It is also shared with the course:

  • OE44185Numerical Methods for Offshore and Dredging Engineering (ODE MSc program)

🧠 Course Overview

The focus of this unit is the definition and analysis of numerical methods to solve Partial Differential Equations (PDEs) governing hydraulic and offshore systems.

It is assumed that students already have basic knowledge of the following topics, acquired through the MUDE program:

  • Basic numerical methods for Ordinary Differential Equations (ODEs) (explicit/implicit)
  • Basic understanding of the Finite Differences Method for static PDEs
  • Basic understanding of the Finite Element Method for static PDEs

⚠️ A short recap will be provided during the course to refresh these concepts.


🎯 Learning Objectives

Upon successful completion of this unit, students will be able to:

  • LO1: Construct conceptual models representing hydraulic/offshore systems using:

    • Point masses
    • Rigid bodies
    • Rods and Euler-Bernoulli beams
    • Geometrically non-linear rods
    • Simple 2D geometries
  • LO2: Apply suitable numerical methods to solve the equations of motion under typical environmental loads (e.g. wind, waves, currents).

  • LO3: Implement these numerical methods using tools like Matlab, Python, or others.

  • LO4: Analyze and interpret results by:

    • Validating against analytical or experimental data
    • Identifying the method’s range of applicability
    • Evaluating errors and convergence of the solution

👩‍🏫 Instructor and Contact

  • Oriol Colomés, [email protected]
  • For content-related questions, contact during lecture hours.

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