Understanding the impact of temperature variations on bridge vibration properties is crucial for the effective maintenance and safety of bridge structures. This course delves into the relationship between temperature-induced changes and structural dynamics, emphasizing their implications for damage detection and structural health monitoring. By integrating theoretical insights with experimental data, participants will gain a comprehensive understanding of how environmental factors, particularly temperature, influence vibration properties and modal variability.

Key highlights of the course include exploring state-of-the-art damage detection methods such as machine learning, Bayesian inference, and optimization algorithms. Through case studies and practical examples, attendees will learn how to distinguish between temperature-induced changes and structural damage to enhance accuracy in monitoring and diagnostics.

• Understand the role of temperature in influencing vibration properties and modal dynamics.
• Explore advanced damage detection techniques for bridges under varying environmental conditions.