| KEYWORD |
ArtIStE Artificial Intelligence In Structural Eng http://www.civilml.polito.it/
Arduino and Raspberry Pi for Experimental Laboratory Structural Health Monitoring
keywords ARDUINO, DESIGN OF EXPERIMENTS, LABORATORY, PYTHON, PYTHON, GUI, TOOLKIT, FORM-BASED APPLICATION, RASPBERRY PI, STRUCTURAL HEALTH MONITORING
Reference persons GIUSEPPE CARLO MARANO
External reference persons Marco Martino Rosso marco.rosso@polito.it
Research Groups ArtIStE Artificial Intelligence In Structural Eng http://www.civilml.polito.it/
Thesis type CODING, EXPERIMENTAL ACTIVITY, EXPERIMENTAL AND NUMERICAL, EXPERIMENTAL AND SIMULATIONS, IMPLEMENTATION
Description Material: Aluminium
Typology: Truss bridge system
Excitation: Scaled train passages
Plans: Mount a sensing system based on low-cost acquisition systems ARDUINO or Raspberry Pi for vibration responses and acceleration data collection.
Various theses can be done on every aspect due to the multidisciplinary project, e.g. :
• Sensing system layout planning (ARDUINO and/or RASPBERRY PI) -> Especially oriented for Computer Science Students, Electronics, Mechatronics, etc.
• Experimental Laboratory Setup (Scaled train passage and collection of vibration data) -> Especially oriented for Civil Engineers, Mechanical Engineers, Computer Science Students, Electronics, Mechatronics, etc.
• Vibration data and Machine Learning analysis -> Especially oriented for Civil Engineers, Mechanical Engineers, Computer Science Students, Electronics, Mechatronics, etc.
See the attached presentation for more information.
See also 23_05_polito_diseg_marano_rosso_experimental_laboratory_bridge_arduino_raspberrypi.pdf
Deadline 11/11/2025
PROPONI LA TUA CANDIDATURA