Risk-based optimization of pipe inspections in large underground networks with imprecise information
Research output: Contribution to journal › Article › Scientific › peer-review
- Aramis S.r.l.
- Inria Université Paris-Saclay
- Polytechnic University of Milan
In this paper, we present a novel risk-based methodology for optimizing the inspections of large underground infrastructure networks in the presence of incomplete information about the network features and parameters. The methodology employs Multi Attribute Value Theory to assess the risk of each pipe in the network, whereafter the optimal inspection campaign is built with Portfolio Decision Analysis (PDA). Specifically, Robust Portfolio Modeling (RPM) is employed to identify Pareto-optimal portfolios of pipe inspections. The proposed methodology is illustrated by reporting a real case study on the large-scale maintenance optimization of the sewerage network in Espoo, Finland.
|Number of pages||11|
|Journal||Reliability Engineering and System Safety|
|Publication status||Published - 1 Aug 2016|
|MoE publication type||A1 Journal article-refereed|
- Imprecise information, Portfolio decision analysis, Risk-based inspection