As a part of vital infrastructure and transportation networks, bridge structures must function safely at alltimes. However, due to heavier and faster moving vehicular loads and function adjustment, such asBusway accommodation, many bridges are now operating at an overload beyond their design capacity.Additionally, the huge renovation and replacement costs always make the infrastructure ownersdifficult to undertake. Structural health monitoring (SHM) is set to assess condition and foreseeprobable failures of designated bridge(s), so as to monitor the structural health of the bridges. TheSHM systems proposed recently are incorporated with Vibration-Based Damage Detection (VBDD)techniques, Statistical Methods and Signal processing techniques and have been regarded as efficientand economical ways to solve the problem. The recent development in damage detection andcondition assessment techniques based on VBDD and statistical methods are reviewed. The VBDDmethods based on changes in natural frequencies, curvature/strain modes, modal strain energy (MSE)dynamic flexibility, artificial neural networks (ANN) before and after damage and other signalprocessing methods like Wavelet techniques and empirical mode decomposition (EMD) / Hilbertspectrum methods are discussed here
As a part of vital infrastructure and transportation networks, bridge structures must function safely at alltimes. However, due to heavier and faster moving vehicular loads and function adjustment, such asBusway accommodation, many bridges are now operating at an overload beyond their design capacity.Additionally, the huge renovation and replacement costs always make the infrastructure ownersdifficult to undertake. Structural health monitoring (SHM) is set to assess condition and foreseeprobable failures of designated bridge(s), so as to monitor the structural health of the bridges. TheSHM systems proposed recently are incorporated with Vibration-Based Damage Detection (VBDD)techniques, Statistical Methods and Signal processing techniques and have been regarded as efficientand economical ways to solve the problem. The recent development in damage detection andcondition assessment techniques based on VBDD and statistical methods are reviewed. The VBDDmethods based on changes in natural frequencies, curvature/strain modes, modal strain energy (MSE)dynamic flexibility, artificial neural networks (ANN) before and after damage and other signalprocessing methods like Wavelet techniques and empirical mode decomposition (EMD) / Hilbertspectrum methods are discussed here