PENG9200 Vitenskapelige forskningsmetoder og dataanalyse i ingeniørvitenskap Emneplan

No formal requirements over and above the admission requirements. The course is based on knowledge and skills within solid mechanics, statics, design of reinforced concrete and steel structures as well knowledge in finite element method (FEM) in structural analysis and design.

The course is based on knowledge and skills within solid mechanics, statics, design of reinforced concrete and steel structures as well knowledge in finite element method (FEM) in structural analysis and design.

Knowledge

On successful completion of the course, the student:

• is at the forefront of knowledge about smart energy systems, both at the system level and at the specific component/application level.
• understands what different technologies can be used at what level in energy generation, transmission, distribution and consumption networks.
• knows about communication technologies and their performance limits for enabling energy intelligence in smart energy systems.

Skills

On successful completion of the course, the student can:

• solve resource optimisation problems for the energy information network.
• apply optimisation techniques and machine learning-based approaches for residential demand response management and vehicle-to-grid.

General competence

On successful completion of the course, the student can:

• communicate and collaborate with experts from other disciplines on larger interdisciplinary and multidisciplinary research projects.
• Recognise and assess a project's potential and value
• participate in debates and communicate results through recognised international channels, such as academic conferences.
• can construct and develop relevant models and discuss the model's validity.
• Disseminate knowledge to broader audiences

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

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.

This course can feature lectures and practical work to provide both theoretical and hands-on content. The students will supplement the lectures and group work with their own reading.

None.

The results for the project assignment, process description, and the code will be assessed by the course leader. The exam can be appealed.

A project assignment and oral presentation.

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

The oral exam cannot be appealed.

Pass or fail.

One internal examiner. External examiner is used periodically.