IMU724 - COMPUTATIONAL INELASTICITY

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
COMPUTATIONAL INELASTICITY IMU724 Any Semester/Year 3 0 3 10
PrequisitesThere are no prerequisites.
Course languageEnglish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
 
Instructor (s)To be determined by the department.  
Course objectiveModeling of nonelastic deformations in computer environment. 
Learning outcomes
  1. Modeling with Fortran
Course ContentProgramming, Tensor Mathematics 
References1. Simo, J.C. and Hughes, T.J.R. (1998): Computational Inelasticity, Springer Verlag, New York, Inc. Library Call No: QA931.S576
2. Neto, E.A. de Souza, Peri, D., and Owen, D.R.J. (2008): Computational Methods for Plasticity: Theory and Applications, Wiley & Sons Ltd. Library Call No: TA418.14.N48
3. Dunne, F. and Petrinic, N. (2005): Introduction to Computational Plasticity, Oxford University Press Inc, New York. Library Call No: TA418.14.D85 

Course outline weekly

WeeksTopics
Week 1Overview
Week 2Introduction to Tensor Algebra and Tensor Calculus
Week 3Introduction to Tensor Algebra and Tensor Calculus
Week 4Thermomechanics of the Three-Dimensional Continuum
Week 5Thermomechanics of the Three-Dimensional Continuum
Week 6Midterm
Week 7Finite Element Discretization of Non-linear Boundary-Value Problems
Week 8Finite Element Discretization of Non-linear Boundary-Value Problems
Week 9Linear and Non-linear Isotropic Elasticity
Week 10Linear and Non-linear Isotropic Elasticity
Week 11Midterm
Week 12Linear and Nonlinear Elasticity 1
Week 13Viscoelasticity: Formulation and Numerical Implementation
Week 14Viscoelasticity: Formulation and Numerical Implementation
Week 15Rate-Independent and Rate-Dependent Elastoplasticity
Week 16Final exam

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments310
Presentation110
Project00
Seminar00
Midterms240
Final exam140
Total100
Percentage of semester activities contributing grade succes260
Percentage of final exam contributing grade succes140
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)14342
Presentation / Seminar Preparation13030
Project000
Homework assignment31030
Midterms (Study duration)21836
Final Exam (Study duration) 11818
Total Workload3582198

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Ability to use theoretical and applied knowledge in mathematics, science, and Civil Engineering fields in solving complex engineering problems.    X
2. Ability to identify, formulate and solve complex civil engineering problems.    X
3. Ability to design a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions; can apply modern design methods.  X  
4. Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications; can use information technologies effectively.  X  
5. Ability to design, conduct experiments, collects data, analyze and interpret results for the study of complex engineering problems or research topics specific to Civil Engineering.X    
6. Ability to work individually and as a team in both intra and interdisciplinary.   X 
7. Ability to communicate effectively, verbally and in writing; knows at least one foreign language, especially English; writes effective reports and understands written reports, can prepare design and production reports, make effective presentations, gives and receives clear and understandable instructions.    X
8. Awareness of the necessity of lifelong learning; can access information, follow the developments in science and technology and constantly renew yourself.   X 
9. Acts in accordance with ethical principles, has knowledge of professional and ethical responsibility and standards used in engineering practices. X   
10. Knowledge of business practices such as project management, risk management, and change management; awareness of entrepreneurship, and innovation; information about sustainable development.  X  
11. Knowledge of the effects of engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering; awareness of the legal consequences of engineering solutions.  X  

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest