Key research themes
1. How can real-time low-cost devices improve detection and monitoring of fatigue damage due to vibrations in engineering structures?
This research area focuses on developing practical, affordable systems that enable continuous monitoring of structural health by analyzing dynamic responses to vibrations. Real-time detection of fatigue damage is crucial for predictive maintenance, safety, and cost reduction in diverse industrial sectors, including civil infrastructure, automotive, aerospace, and renewable energy. The theme investigates hardware-software integration, algorithmic approaches for vibration signal processing, and validation through experiments, aiming to achieve accurate and computationally efficient fatigue damage estimation.
2. What is the impact of non-stationary and non-Gaussian characteristics of excitation loads on vibration-induced fatigue life prediction?
Fatigue analysis methods often presume stationary and Gaussian random loadings; however, real-world excitations can be non-stationary and non-Gaussian, affecting accuracy in fatigue life estimations. This theme addresses theoretical and experimental investigations quantifying excitation non-stationarity, introduces metrics (e.g., non-stationarity index), evaluates the applicability and limitations of spectral methods under these conditions, and proposes correction factors or enhanced models to improve fatigue life prediction accuracy for vibrating structures subjected to complex loadings.
3. What are the advancements and practical methodologies in frequency-domain and multiaxial fatigue damage estimation for vibrating structures?
Frequency-domain approaches to fatigue damage estimation leverage the power spectral density of stress responses to efficiently predict fatigue life, particularly under random vibration loading. This theme explores theoretical developments and pragmatic computational strategies for evaluating multiaxial fatigue damage using spectral moments and applying criteria like the Sines criterion formulated in the frequency domain. It also involves comparative analyses between time- and frequency-domain methods, incorporation of mean stress correction, and their application to complex structural components such as wind turbine towers and mechanical joints.