Abstract
Most municipal agencies are facing challenges regarding the deterioration of infrastructures due to the lack of available funds and available data. There is a need to perform infrastructure asset management for infrastructure assets in an integrated manner. This research proposes a decision making plan to help the agencies to perform integrated infrastructure asset management. This research presents a methodology that helps infrastructure managers conduct their short and long terms management plans. The proposed methodology is capable to assess the condition of three infrastructure asset types including, Water networks, Sewer networks, and Road networks. Also, it is capable to assess the risk and perform the life cycle cost analysis for the integrated infrastructure assets. Factors that affect the deterioration rates of the three considered infrastructure assets types have been concluded from analyzing the literature and from gathering the expert opinions through a questionnaire sent to them. Pair-wise technique has been used to produce weight of effect of each factor at the deterioration rate. Then, a deterioration model is developed using hierarchical fuzzy expert system (HFES) technique. Another risk model is developed for assets’ failure in order to evaluate the risk associated with each segment in the network for the three infrastructure types. Fuzzy Monte Carlo Simulation (FMCS) is used to model the probability of failure (POF) and developing the risk index distribution for each type of asset. In an effort to facilitate decision-making during the rehabilitation planning, multi-objective optimization is performed, considering four objective functions; overall risk index, infrastructure’s condition, assets’ level of service and life cycle cost. A case study is considered in order to demonstrate the features of the proposed methodology.
Highlights
Infrastructure asset management is the integrated, multidisciplinary set of strategies in sustaining public infrastructure assets such as water treatment facilities, sewer lines, roads, utility grids, bridges, and railways
The research methodology was based on developing condition assessment model, risk Assessment model and evaluation of performance measure
In order to develop the deterioration model, hierarchical fuzzy expert system (HFES) technique is used and verified to process the input data, which is the effect of deterioration factors to estimate the condition for each infrastructure
Summary
Infrastructure asset management is the integrated, multidisciplinary set of strategies in sustaining public infrastructure assets such as water treatment facilities, sewer lines, roads, utility grids, bridges, and railways. The InfraGuide report suggested a systematic integration approach for the renewal of municipal road, sewer and water systems[1] This approach consists of five tasks: Inventory, Investigation, Condition Assessment, Performance Evaluation, and Renewal Plan. Khan et al.[14] presents a study which uses artificial neural networks to investigate the importance and influence of certain characteristics of sewer pipes upon their structural performance, expressed in terms of condition rating. Cunningham et al.[16] Proposed a framework to manage the Risk of aging pavement infrastructure in New Brunswick by identifying the appropriate timing for the most effective and economical treatment based on long term, least life cycle costs to achieve optimal performance within annual budgets. A fuzzy based methodology is conducted to make a condition assessment of each infrastructure asset (water networks, sewer networks and roads networks). A case study is presented in order to demonstrate the feature of the proposed methodology
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Computational Intelligence Systems
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
