These kinds of measurement are quite important for safety and maintenance purposes in order to verify the loading conditions of a wide population of vehicles using a limited number of WIM devices distributed on the rail network.

The evaluation of axle loading conditions is quite important especially for freight wagons, more subjected to the risk of unbalanced loads which may be extremely dangerous both for vehicle safety and infrastructure maintenance costs.

Also some typical defects of rolling surfaces such as wheel flat should be identified especially by considering frequency and time domain analysis or mixed or hybrid approaches as wavelet transformations.

In this paper a simplified finite element model of the vehicle-rail interaction is used to investigate potential performance and robustness of proposed WIM algorithms against disturbances, bandwidth or resolution limitations and sensors and estimators bias errors.

purchase the full-text of this paper (price £20)

go to the previous paper
go to the next paper
return to the table of contents
return to the book description
purchase this book (price £110 +P&P)