2019 CSCE Annual Conference - Laval (Greater Montreal)

2019 CSCE Annual Conference - Laval (Greater Montreal) Conference


Title
RESILIENCE-BASED ASSET MANAGEMENT FRAMEWORK AND ITS APPLICATION ON PAVEMENT NETWORKS


Author(s)
Mr. Ahmed Mohammed, Concordia University (Presenter)
Dr. Soliman Abu-Samra, KPMG Canada
Dr. Ashutosh Bagchi, Concordia University, Canada
Dr. Fuzhan Nasiri, Concordia University
Dr. Tarek Zayed, The Hong Kong Polytechnic University
Abstract

Infrastructure systems play a pivotal role in the development of economy and public services, which positively affects the quality of life of the communities. Ability to sustain extreme events and recover after form the general resilience concept. Nevertheless, resilience has been defined through many divergent interpretations according to both the method and domain of application. Thus, this paper introduces a resilience definition integrating both resilience and asset management concepts. It is important to mention that the average age of the core infrastructure in Canada (i.e. bridges, roads, water, wastewater, etc) was about 14.7 years in year 2013, according to Canada infrastructure report 2016. Still, those infrastructure’s resilience state is inferior due to the backlog in investment needs, aging, deterioration, severe weather conditions and previous disruption events effects. Accordingly, this paper aims at developing a resilience-based asset management framework for pavement networks maintenance and rehabilitation. This was carried out through development of five components; 1) a central database of asset inventory and network data, 2) a pavement condition and level of service (LOS) assessment model using asset based resilience indicators, 3) a simulation model of the effect of Freeze-Thaw on pavement network using disruption based indicators, 4) a financial and temporal models incorporating recovery based indicators, and 5) an optimization model to formulate the mathematical denotation for the proposed resilience assessment approach and integrate the above components (to be solved by meta-heuristic rules and genetic algorithms). This framework was applied into a 3.75 KM residential road network stretch located in Kelowna city, British Columbia province, Canada. Finally, the overall weighted average IRI falls within the acceptable ranges, reaching 122.35 in/mile. Besides, the overall pavements condition is rated good with an overall weighted average pavement condition index (PCI) of 81.45% through a lifecycle of 20 years. Furthermore, the model results were promising in terms of maintaining the pavement resilience and selecting a near optimal intervention plan that meets the municipality limitations in terms of condition, LOS, and cost. This pavement resilience assessment framework is beneficial for asset management decision making where the intervention plans would not only target enhancing or restoring pavement condition or LOS, but also incorporate the implementation of proper recovery strategies for both regular and/or extreme events.