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Course Catalog 2010-2011
TME-2306 Finite Element Method, 6 cr |
Person responsible
Sami Pajunen
Lessons
Study type | P1 | P2 | P3 | P4 | Summer | Implementations | Lecture times and places |
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Requirements
Exercises, personal exercises and a written examination.
Completion parts must belong to the same implementation
Principles and baselines related to teaching and learning
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Learning outcomes
Student knows how to apply finite element method to structural mechanis problems. Student is able to analyse linear static problems of trusses, beams, disks, plates and shells using computer programmes.
Content
Content | Core content | Complementary knowledge | Specialist knowledge |
1. | Basic concepts of finite element method of Strength of Materials. Concept of spatial discretation of material domain. Interpolation functions and numerical integration. Different types of elements. Applications to different linear structural problems. | Use of computer programs (ANSYS, ABAQUS, etc) |
Evaluation criteria for the course
Passed written examination or written intermediate examinations and accepted exercises.
Assessment scale:
Numerical evaluation scale (1-5) will be used on the course
Partial passing:
Study material
Type | Name | Author | ISBN | URL | Edition, availability, ... | Examination material | Language |
Book | Introduction to Finite Elements in Engineering | T., R., Chandrupatla, and A., D., Belegundu | 2 nd Edition. Prentice-Hall, 1997. | English |
Prerequisite relations (Requires logging in to POP)
Correspondence of content
Course | Corresponds course | Description |
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Vastaavuus 1 = 1 |
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More precise information per implementation
Implementation | Description | Methods of instruction | Implementation |
Introduction to the theory and practical aspects of the Finite Element Method. The main focus is on linear static FEM-analysis of structures (trusses, frames, plates and solids). FEM-program ANSYS is utilized in the practical works of the course. | Lectures Excercises Practical works |
Contact teaching: 60 % Distance learning: 0 % Self-directed learning: 40 % |