Challenge

The project, led by Deighton's implementation team, included pavement and bridge staff from Brampton. They began with loading over 300 bridges the City is responsible for and then developed the OSIM parameters to be used for the element and component bridge analysis as part of the bridge management system BMS). During the development of the BMS, two addional performance metrics were added: risk and asset value.

The challenge was to compare benefits between the two asset classes.

Solution

For each of pavements and bridges, Brampton developed a Probability of Failure (PoF) and a Consequence of Failure (CoF) matrix that when combined produced a Risk Score. The PoF included factors such as the condion of the pavement or bridge asset, the quality of the construcon, any known design or human errors, and the asset's vulnerability to natural and non-natural hazards. The CoF included factors such as aributes of the asset such as size, type, traffic volume, potenal user delays if asset is out of commission, interoperability, social and environmental consequence.

During the analysis, dTIMS mulplies the PoF and the CoF to get a risk score for every strategy for every asset. The risk score for pavement and bridge is out of 25 with 1 represenng very low risk. The risk score for both assets can be compared equitably such that it can be used as an objecve funcon in the dTIMS optimization and cross-asset analysis.

Results

New performance metrics were developed that could be used to equitably compare pavements and bridges. Risk and asset value were computed.