2019 CSCE Annual Conference - Laval (Greater Montreal) Conference
Dr. Farzad Ghodoosi , Concordia University
Dr. Ashutosh Bagchi, Concordia University, Montreal, Canada
Dr. Luis E Amador-Jimenez , Concordia University
North America’s bridges are aging and deteriorating. According to the Canada’s infrastructure report, around 40% of the existing bridges are in fair and below condition state, which increases their risk of failure and requires further attention. Furthermore, Canada’s infrastructure deficit is estimated between $110 billion to $270 billion and is annually increasing by $2 billion. Given the tight municipal operating budgets coupled with the pressure of maintaining an acceptable level of service, efficient utilization of the maintenance expenditures is becoming of paramount important not only for bridges, but for all the deteriorating assets. Even though, several scholars developed bridge management systems to schedule the maintenance of the bridge concrete deck. Yet, scholars have not considered the spatial proximity between the concrete structure and the asphalt surface. In the lights of those issues, this paper proposes an integrated bridge super-structure and asphalt deck scheduling and optimization framework to ensure proper expenditures utilization, while maintaining the super-structure condition and asphalt level of service. The framework revolves through five core models: (1) bridges’ inventory that contains information about the bridge components, condition state, etc., (2) condition deterioration and future prediction model that simulates the super-structure deterioration across the planning horizon; (3) level of service model that calculates the degradation of the asphalt, represented by the international roughness index; (4) bridge super-structure assessment model that computes a bridges’ super-structure combined index for both the concrete deck’s condition and the asphalt’s level of service; and (5) optimization model that relies on evolutionary algorithms and integer programming using genetic algorithms optimization engine to schedule the corridor interventions across the planning horizon. To demonstrate the framework’s functionality, it will be applied to a bridge across 50 years planning horizon. The results resulted in an extension of 45 years in the service life as opposed to the no repair scenario. The bridge superstructure experienced three major rehabilitation and three minor repairs for the concrete superstructure. The age of the bridge superstructure was 78 years, which is 3 years more than the expected design life according to the code. Furthermore, it resulted in an average IRI of 140 in/mi. For the costs, the EUAC of the structural actions was $18,175. However, the EUAC of the asphalt deck IRI enhancement actions was $7,765, which is 40% of the structural actions. The overall EUAC of the combined superstructure was $25,940.