Developed economies depend on complex and extensive systems of infrastructure to maintain economic prosperity and quality of life. In recent years, the implementation of Structural Health Monitoring (SHM) systems on full-scale bridges has increased. The goal of these systems is to inform owners of the condition of structures, thereby supporting surveillance, maintenance and other management tasks.Data-driven methods, that involve tracking changes in signals only, are well-suited for analyzing measurements during continuous monitoring of structures. Also, information provided by the response of structures under moving loads is useful for assessment of condition. This paper discusses the application of data-driven methods on moving-load responses in order to detect the occurrence and the location of damage. First, an approach for using moving-load responses as time series data is proposed. The work focuses on two data-driven methodsMoving Principal Component Analysis (MPCA) and Robust Regression Analysis (RRA) -that have already been successful for damage detection during continuous monitoring. The performance of each method is assessed using data obtained by simulating the crossing of a point-load on a simple frame.

No abstract

No abstract

No abstract

No abstract

No abstract

<p> This paper focuses on the condition assessment and the early damage detection in bridges. The main objectives are to discuss the “in-service” behaviour of reinforced and prestressed concrete bridges under moving-loads and to assess the feasibility of detecting damage such as prestress- losses using moving-loads data. A reduced-scale laboratorial model of a reinforced and prestressed concrete frame was chosen as the case study. Firstly, the baseline condition, in which the structure is assumed to operate normally, is thoroughly characterized. The prestressing strands tensioning was monitored and the results are carefully analysed, and the structural response of the frame under moving-loads is discussed. Second, a 15% prestress loss has been prompted and the structural response recorded under moving-loads in this damaged condition is used to demonstrate the feasibility of detecting the structural condition change based on moving-loads data.</p>

No abstract