Innovative Sensor Technologies
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Significant progress has been made toward developing novel sensor technologies designed to optimize the performance, connectivity, and energy efficiency of embedded systems used for mechanical wave sensing. Key activities include: The design of customized filters using Photonic Integrated Circuits for improved wave detection. The development of an Optical Time Stretch (OTS) measurement system, enhancing high-speed sensing capabilities. The modeling of triboelectric nanogenerators (TENGs), contributing to self-powered sensor systems. The wireless characterization of embedded sensors, offering potential for low-energy, low-maintenance monitoring solutions.
Advanced Imaging Using Mechanical Waves
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Advanced imaging methods have been developed to detect and visualize previously undetectable damage. This includes: The implementation of a Full Waveform Imaging (FWI) setup using open-source tools, now applied to concrete structures. The validation of a passive seismic imaging workflow for subsurface monitoring with optical fiber, accommodating environmental noise and variability. Identification and refinement of critical measurement parameters within nonlinear acoustics experimental setups, allowing improved understanding. These contributions have produced reproducible and clearly documented setups, which were previously unavailable in the field.
Smart and Robust Structures and Materials
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Work has focused on enhancing the robustness and reliability of SHM systems for diverse real-world conditions and materials. Key advances include: The development of a temperature compensation technique derived from MWCS, tested on concrete specimens and currently being validated in operational tunnel environments. Experimental exploration of Environmental and Operational Condition (EOC) effects on guided wave propagation, supporting improved compensation algorithms for aeronautics applications. The creation of quality assessment methods for SHM data across multiple sensor types (fiber optic and inductive), increasing the trustworthiness of monitoring results.