Status: Running
General Objective: The main objective of the training program «»Vibration-Based Structural Health Monitoring»» is to provide participants with comprehensive training in the theoretical and practical foundations of structural health monitoring (SHM) systems. based on vibrations. At the end of the course, students should be able to develop and evaluate the performance of their own structural damage diagnosis algorithms based on vibration signals.
Specific goal:
- Understanding Structural Health Monitoring Systems: The program will focus on providing participants with a solid understanding of the fundamental concepts, principles, and techniques used in structural health monitoring systems. Participants would gain knowledge about the advantages, limitations and applications of these systems.
- Master vibration data acquisition techniques: The program would include training on vibration data acquisition in dynamic systems. Participants would learn to make accurate measurements on different types of structures.
- Develop modeling and diagnostic skills: Non-parametric and parametric modeling techniques of linear and time-invariant systems will be taught. Participants would learn to use advanced tools and algorithms to analyze and diagnose structural behavior from vibration data.
- Algorithm Performance Evaluation: Students will learn to evaluate and compare the performance of damage diagnosis algorithms. They will be taught methods and metrics to measure the effectiveness of algorithms in detecting and classifying possible damage to structures.
- Application of knowledge in real cases: The course will provide case studies and practical examples based on real situations of health monitoring of structures. Students will have the opportunity to apply the knowledge acquired and develop their own damage diagnosis algorithms to solve specific problems.
- Promote practical application and decision making: In the program design, activities will be carried out that link theoretical knowledge with practical application in the health monitoring of structures. Participants will learn to interpret monitoring results, assess the severity of damage, and make informed decisions about necessary maintenance and repairs.
- Encouraging creativity and innovation: Students will be encouraged to explore new ideas and approaches in developing damage diagnosis algorithms. They will be given the space to experiment, propose improvements and adapt the algorithms to different types of structures and monitoring situations.
Participants: ESPOL, UPS, UCSG
Project Director: Christian Javier Tutivén Gálvez
Researchers:
- René Vinicio Sánchez Loja
- Edwin Fernando Palacios Meléndez
Awarded budget: $6.400
