Analysis of the Risk Path of the Pipeline Corridor Based on System Dynamics

Abstract

Under the background of China’s continuous promotion of urbanization, urban underground integrated pipeline corridor has become an inevitable trend of future urban integrated management. After the completion of the pipeline corridor, how to effectively manage its risks in operation and maintenance management has become a topic at this stage. In this paper, through the combination of the classical AHP method and DSM method, based on a large number of literature studies, the risk relationship system of the integrated pipe corridor is constructed. AnyLogic software is applied to simulate the system dynamics, analyze the impact of dynamic changes of each risk factor on the risk accident of the integrated pipe corridor, carry out uncertainty reasoning from multiple perspectives, and realize the evaluation and analysis of the accident risk of the integrated pipe corridor. The results of the study could provide targeted support tools for integrated pipeline corridor risk operation and maintenance management.

Risk Evaluation of Urban Integrated Pipe Corridor Operation and Maintenance Based on Improved AHP‐CIM Model

“…Other related risk rating studies: as early as 2011, Rita and Herbert proposed a method to systematically assess and manage tunnel-related risks by combining a geological prediction model with a construction strategy decision model to predict the geology prior to tunnel construction to select the least risky construction strategy among different construction strategies [23]; Golam et al proposed a Bayesian belief network for assessing the risk of failure of metal water pipes model that can rank water supply trunk pipes in distribution networks to identify vulnerable and sensitive pipes for rational water supply management [24]; Zhang et al proposed a method for tunnel fire safety risk analysis based on fuzzy Bayesian networks [25]; Khwaja Mateen et al proposed a new public-private partnership based on fuzzy integral infrastructure project (PPP project) risk assessment method to help stakeholders make risk management decisions [26]; Wu et al developed a cloud model-based risk assessment model for metro tunnel shield construction, which effectively addressed the stochastic uncertainty and fuzzy uncertainty of indicator factors [27]; in addition to these, Kang, Marian et al Martinka et al have also implemented dynamic analysis of risks in underground tunnels, sub-sea tunnels, and cables, respectively [28][29][30]. Han et al through the combination of the classical AHP method and DSM method effectively manage its risks in operation and maintenance management [31].…”

Analytical Model of Interaction of an Oil Pipeline with a Support of an Overpass Built in a Mountainous Area

“…[17][18][19][20]. The demand for such research regularly arises in such areas as the construction and operation of oil and gas wells [21,22], the design of pipelines in karst zones [23] and areas of increased seismic activity [24], the construction of support columns [25], the sinking of construction piles [26], rational design of anti-vibration, and damping devices for long-dimension objects [27,28], etc.…”