PENG9620 Smarte byer for en bærekraftig energifremtid – fra design til praksis Emneplan

The course teaches advanced topics in finite element modelling and simulation of structures such as reinforced concrete, steel and timber structures. The course will also expose students to some of the recent trends and research areas in FEM.

All physical structures exhibit nonlinear behaviour to some extent, and the assumptions of linearity are often simplistic and inadequate for real-life structures. In such cases, linear analysis is only an approximation that makes the analysis of structures more tractable. The analysis of a structure undergoing some form of nonlinear behaviour will be much more accurate if a nonlinear finite element analysis is carried out. Nonlinearities can be caused by changes in geometry or by nonlinear material behaviour. This is an advanced course which follows up on linear FEM and is based on the extension of formulation of the FE equilibrium equations to the nonlinear domain, covering both types of nonlinearities.

The course will be offered once a year, provided 3 or more students sign up for the course. If less than 3 students sign up for a course, the course will be cancelled for that year.

Introduction to the theoretical foundation for nonlinear finite element analysis of civil engineering structures. Classification of nonlinearities (geometrical, material and boundary conditions). Strain and stress measures for large displacements/deformations. Mathematical models for elastic and elastoplastic materials like reinforced concrete (RC), steel,etc. Geometrical stiffness and linearised buckling. Numerical integration of dynamically excited systems. Implicit/explicit time integration. Incremental-iterative solution methods for nonlinear static and dynamic problems. Modelling of nonlinear boundary conditions. The course will also expose students to recent trends and research areas in FEM.

None.

The student is expected to have the following outcomes on completion of the course:

Knowledge:

On successful completion of the course, the student:

• has advanced knowledge of the research process.
• has advanced knowledge of data collection techniques relative to engineering sciences.
• can critically assess the usefulness of using qualitative, quantitative, and mixed methodologies in the engineering sciences.
• has a high-level command of qualitative and quantitative methods of analysis relative to his/her field of study.

Skills:

On successful completion of the course, the student can:

• construct a problem statement or research question and evaluate its soundness.
• create technically and scientifically sound research proposals.
• select a methodology to address a research problem.

General competence:

On successful completion of the course, the student can:

• distinguish and formulate research problems.
• develop and critically assess the components of a research proposal.
• critically reflect on the nature of research, scientific practice and knowledge

The course is divided into three modules.

The first module covers lectures on economic interactions for the energy market, focusing mainly on applications such as demand response management (DRM), and vehicle-to-grid (V2G), etc.

The second module consists of lectures on current and emerging approaches such as machine learning and blockchain for energy intelligence and network security.

The third module will be a seminar which will include a hands-on session on tools such as optimisation and machine learning for solving specific problems in future energy information networks, and will conclude with a project assignment to be submitted by a given deadline.

Seminars, exercises, project assignment (scholarly work), scientific report and oral presentation.

The following required coursework must be approved before the student can take the exam:

Compulsory assignments. Obligatory attendance at practical training.

A project assignment and oral presentation.

Both exams must be passed in order to pass the course.

The oral exam cannot be appealed.

All support material is allowed.

One internal examiner. External examiner is used periodically.

Two internal examiners. External examiner is used periodically.