The use of a dynamic truck-trailer drive-by system to monitor bridge damping

Bridge structures are continuously subject to degradation due to the environment, ageing and excess loading. Periodic monitoring of bridges is therefore a key part of any maintenance strategy as it can give early warning if a bridge becomes unsafe. This article investigates an alternative method for the monitoring of bridge dynamic behaviour: a truck-trailer vehicle system, with accelerometers fitted to the axles of the trailer. The method aims to detect changes in the damping of a bridge, which may indicate the existence of damage. A simplified vehicle-bridge interaction model is used in theoretical simulations to assess the effectiveness of the method in detecting those changes. The influence of road profile roughness on the vehicle vibration is overcome by recording accelerations from both axles of a trailer and then analysing the spectra of the difference in the accelerations between the two axles. The effectiveness of the approach in detecting damage simulated as a loss in stiffness is also investigated. In addition, the sensitivity of the approach to the vehicle speed, road roughness class, bridge span length, changes in the equal axle properties and noise is investigated

Experimental validation of a drive-by stiffness identification method for bridge monitoring

 An experimental investigation is carried out to verify the feasibility of using an instrumented vehicle to detect and monitor bridge dynamic parameters. The low cost method consists of the use of a moving vehicle fitted with accelerometers on its axles. In the laboratory experiment, the vehicle-bridge interaction model consists of a scaled two-axle vehicle model crossing a simply supported steel beam. The bridge model also includes a scaled road surface profile. The effects of varying the vehicle model configuration and speed are investigated. A finite element beam model is calibrated using the experimental results and a novel algorithm for the identification of global bridge stiffness is validated. Using measured vehicle accelerations as input to the algorithm, the beam stiffness is identified with a reasonable degree of accuracy.European Commission - Seventh Framework Programme (FP7)Japanese Society for the Promotion of Science Postdoctoral Fellowship for North American and European ResearchersJapanese Society for the Promotion of Science Grant-in-Aid for Scientific Researc

Utilizing Moving Vehicles as Sensors for Bridge Condition Screening – A Laboratory Verification

Health condition monitoring of bridge structures is attracting considerable attention, conventionally relying on visual inspection, and measurement-based methods that involve sensors installed directly on bridges. In recent years, drive-by monitoring methods that treat moving vehicles as moving sensors have been proposed as alternatives; these methods aim to be lowcost, mobile, and target fast bridge condition screening. In this study, we address the current lack of sufficient experimental verification of such methods. Laboratory experiments were conducted using a test vehicle system equipped with accelerometers in order to verify the practical feasibility of three drive-by methods: (1) bridge-frequency extraction using the Fourier spectrum of a vehicle’s dynamic response, (2) damage detection using the change in a vehicle’s spectral distribution pattern, and (3) roadway surface profile identification

Early contractor and facility management team involvement in the BIM environment

Knowledge is the resource that contributes the most to an organisation’s competitiveness. Construction projects usually introduce project teams from different disciplines. Hence, knowledge in projects is complex and difficult to manage. To efficiently manage knowledge in projects, various strategies and tools have been applied over the years to support knowledge management (KM). Building information modelling (BIM) is a technology that has recently gained a lot of attention in the construction industry. The main feature of BIM is object-oriented and parametric modelling with the functions of dynamic visualisation, life cycle simulation, early analysis, coordination and collaborative working. Many studies have explored the functions of BIM mainly at the information level. However, only a few studies have considered the management of knowledge in a BIM environment. To fill this knowledge gap, this study explored the potential and expectation of a BIM-based system for early collaboration among contractor, facility management (FM) and design teams in the design stage. This study chose semi-structured interview as the main method to collect qualitative information. A total of 30 experts working in the construction industry were interviewed. On the basis of the analysis results of the collected information, a discussion was presented on how BIM can facilitate KM activities and relieve KM challenges. Therefore, the discussion focused on the requirements and expectations of the integrated KM system in a BIM environment that can facilitate the early involvement of construction contractors and the FM team into the design stage. This study also provides a new research direction for the transformation of research focus from BIM to building knowledge modelling. This paper is the revised version of the paper that has been published in the proceedings of the Creative Construction Conference 2018 (Wang et al., 2018)