MBS vehicle–crossing modelforfor crossing structural health health monitoring monitoring

Abstract

This paper presents the development of a multi-body system (MBS) vehicle–crossing model Abstract: This paper presents the development of a multi-body system (MBS) vehicle–crossing and its application in the structural health monitoring (SHM) of railway crossings. The vehicle and model and its application in the structural health monitoring (SHM) of railway crossings. The track configurations in the model were adjusted to best match the real-life situation. By using the vehicle and track configurations in the model were adjusted to best match the real-life situation. By measurement results obtained from an instrumented crossing and the simulation results from a finite using the measurement results obtained from an instrumented crossing and the simulation results element (FE) model, the MBS model was validated and verified. The results showed that the main from a finite element (FE) model, the MBS model was validated and verified. The results showed outputs of the MBS model correlated reasonably well with those from both the measurements and that the main outputs of the MBS model correlated reasonably well with those from both the the FE model. The MBS and FE models formed the basis of an integrated analysis tool, which can be measurements and the FE model. The MBS and FE models formed the basis of an integrated analysis applied to thoroughly study the performance of railway crossings. As part of the SHM system for tool, which can be applied to thoroughly study the performance of railway crossings. As part of the railway crossings developed at Delft University of Technology, the MBS model was applied to identify SHM system for railway crossings developed at Delft University of Technology, the MBS model the condition stage of a monitored railway crossing. The numerical results confirmed the highly was applied to identify the condition stage of a monitored railway crossing. The numerical results degraded crossing condition. By using the measured degradation as the input in the MBS model, confirmed the highly degraded crossing condition. By using the measured degradation as the input the primary damage sources were further verified. Through identifying the crossing condition stage in the MBS model, the primary damage sources were further verified. Through identifying the and verifying the damage source, necessary and timely maintenance can be planned. These actions crossing condition stage and verifying the damage source, necessary and timely maintenance can will help to avoid crossing failure and unexpected traffic interruptions, which will ultimately lead to be planned. These actions will help to avoid crossing failure and unexpected traffic interruptions, sustainable railway infrastructure. which will ultimately lead to sustainable railway infrastructure.