Faculty of Technical Sciences

Subject: Experimental methods in mechanics (17.MIT003)

Native organizations units: No data
General information:
 
Category Professional-applicative
Scientific or art field Mechanics
Interdisciplinary Yes
ECTS 5
Educational goal:

To understand what should be measured and how it should be measured; to be able to perform data acquisition and data processing correctly; to apply computational procedures of system identification within frameworks of rheology and structural analysis.

Educational outcome:

Ability to work in laboratory; possibility to choose appropriate constitutive axioms for different materials and determine the numerical values of corresponding rheological parameters; skills to relate model predictions and recorded behaviour for the purpose of model validation.

Course content:

Rheological and structural experiments. Physical properties of materials. Force, stress, strain, displacement, velocity and acceleration measurements in controlled conditions. Experimental data acquisition and data processing. Descriptive and comparative statistics. Analysis of data obtained form video recording. Simulation of mechanical system behaviour in time domain and comparison with recorded one.

Teaching methods:

Lectures, presentations of real problems, laboratory work, exercises comprising Mathematica and Matlab tools. Homeworks chosen to check understanding of the introduced both notions and methods. Exam comprises theoretical, practical and computational part.

Literature:
Authors Title Year Publisher Language
Madhu Viswanathan Measurement error and research design 2005 Sage Publications English
A. P. Sage and J. L. Melsa System identification 1971 Academic press English
T. A. Polak and C. Pande Engineering measurements, methods and intrinsic errors 1999 Professional Engineering publishing English
Knowledge evaluation:
Course activity Pre-examination Obligations Number of points
Written part of the exam - tasks and theory No Yes 70.00
Lecture attendance Yes Yes 5.00
Test Yes Yes 10.00
Exercise attendance Yes Yes 5.00
Test Yes Yes 10.00
Lecturers:

vanr. prof. dr Grahovac Nenad

Associate Professor

Practical classes

vanr. prof. dr Žigić Miodrag

Associate Professor

Computational classes

prof. dr Spasić Dragan

Full Professor

Lectures

Faculty of Technical Sciences

© 2024. Faculty of Technical Sciences.

Contact:

Address: Trg Dositeja Obradovića 6, 21102 Novi Sad

Phone:  (+381) 21 450 810
(+381) 21 6350 413

Fax : (+381) 21 458 133
Emejl: ftndean@uns.ac.rs

© 2024. Faculty of Technical Sciences.