EPICentre Seminars - Disaster Resilience Analysis of Civil Eng. Systems Using Bayesian Network

The resilience of the modern society heavily depends on various types of civil engineering systems (e.g. transportation networks, structural systems and utility distribution networks), which underlines the importance of securing their performance against external threats (e.g. natural disasters, human-made hazards, and deteriorations). However, such task remains challenging due to the complexity and large-scale of these systems; and moreover, the uncertainties arising from various sources necessitate a probabilistic approach. To this end, Bayesian network (BN) can be employed effectively, which facilitates formulating real-world systems by graphically representing the corresponding probability distributions. To demonstrate the utility of BN for the resilience analysis of real-world systems, this talk illustrates the underlying theory and applications of BN. Advanced techniques and remaining challenges are also discussed, which would provide insights on the direction of future research.

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Please note that the session may be recorded and retained as per UCL’s retention schedule.
Photo Credit: RMJM