Data acquisition and scientific visualisation in structural and civil engineering

In collaboration with NI d.o.o. Sloveniascivis

 

 

 

 

 

Civil and structural engineering research relies heavily on results of numerical models and testing of mechanical models. Both of those data sets have different pros and cons and modern approach is to fuse them in a way to obtain the best properties from both. This introductory course teaches students of undergraduate and graduate studies to collect, interpret and display measured data using modern equipment. Along with data acquisition, this course focuses on big data visualization, especially the results of FEM numerical models, which are the base of numerical modeling in structural and civil engineering. This course plan is devised to help students in understanding the data, systems beyond the data and visualization plays an important role in that process.

Main topics:
•    Introduction to measurements of mechanical properties in civil engineering
•    Introduction to software for data acquisition and data visualization
•    Visualization techniques for acquired experimental data
•    Visualization techniques for numerical finite element models
Program structure:
•    5-day course in accordance with program plan
•    Practical work on project assignments
•    Final presentation of student work
•    Lecture notes will be distributed to the students
Program plan:
1.    Theoretical basis for measuring deformations, displacements and acceleration (3h), Theory of scientific visualization (3h)
2.    Introduction to National Instruments software and hardware (4h), practical work (2h)
3.    FEM and measurements (2h), Preparing data output for visualization – VTK toolkit (2h), practical work (2h)
4.    Scientific dana visualization (4h), practical work (2h)
5.    Individual projects (4h), project presentation (2h)

Target audience: MSc. And PhD. Students of civil or structural engineering
Maximum 7 groups with 2 students, total 14 students.

How to apply? or Apply now!

Students who successfully complete this course will be awarded 2 ECTS* credits. EQF level is 7.

*European Credit Transfer System