A Fast Wavelet-Based Bridge Condition Assessment Approach Using Only Moving Vehicle Measurements

Recently, the ‘drive-by’ or vehicle scanning technique has attracted increasing attention over last decade for purpose of bridge health monitoring. The feasibility this been demonstrated by many field tests. In comparison to conventional SHM, concept drive-by shows advantages in terms efficiency, economy, convenience, and mobility. It verified that wavelet transforms can successfully identify damage its location using responses a moving vehicle. However, validity method is challenged road roughness. This paper proposes wavelet-based approach detect defects energy. addition, index based on component energy developed localize damage. A numerical simulation modeled verify proposed approach, result performs well even when considering roughness interaction. Moreover, effects surface profile, velocity, mass, noise signal, different severity are investigated. great potential application monitoring indirect measurements from