Abstract
Moving load and structural damage assessment has always been a crucial topic in bridge health monitoring, as it helps analyze the daily operating status of bridges and provides fundamental information for bridge safety evaluation. However, most studies and research consider these issues as two separate problems. In practice, unknown moving loads and damage usually coexist and influence the bridge vibration synergically. This paper proposes an innovative synchronized assessment method that determines structural damages and moving forces simultaneously. The method firstly improves the virtual distortion method, which shifts the structural damage into external virtual forces and hence transforms the damage assessment as well as the moving force identification to a multi-force reconstruction problem. Secondly, a truncated load shape function (TLSF) technique is developed to solve the forces in the time domain. As the technique smoothens the pulse function via a limited number of TLSF, the singularity and dimension of the system matrix in the force reconstruction is largely reduced. A continuous beam and a three-dimensional truss bridge are simulated as examples. Case studies show that the method can effectively identify various speeds and numbers of moving loads, as well as different levels of structural damages. The calculation efficiency and robustness to white noise are also impressive.
Highlights
Accurate statistics regarding moving loads and structural damage are two very significant factors for bridge health monitoring
Most of the previous studies consider the two problems separately: either the structural damage is determined with the load characteristic to be known, or the moving load is identified on a bridge with complete structural condition
It is apparent that most of the reviewed moving force identification (MFI) methods require determined structure information to establish the correspondence between moving force and structural response, while the signal-based structural damage identification (SDI) methods need a similar excitation in order to guarantee the response variation solely caused by structural damage
Summary
Accurate statistics regarding moving loads and structural damage are two very significant factors for bridge health monitoring. It is apparent that most of the reviewed MFI methods require determined structure information to establish the correspondence between moving force and structural response, while the signal-based SDI methods need a similar excitation in order to guarantee the response variation solely caused by structural damage. These methods could be difficult to practice on bridges where unknown moving forces and structural damage coexist. Various cases that consider the influence of force, velocity, number, damage severity, location, sensor position, and noise measurement to the identification accuracy and efficiency have been studied
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