Bayesian Network Enhanced with Structural Reliability Methods: Methodology

by   Daniel Straub, et al.

We combine Bayesian networks (BNs) and structural reliability methods (SRMs) to create a new computational framework, termed enhanced Bayesian network (eBN), for reliability and risk analysis of engineering structures and infrastructure. BNs are efficient in representing and evaluating complex probabilistic dependence structures, as present in infrastructure and structural systems, and they facilitate Bayesian updating of the model when new information becomes available. On the other hand, SRMs enable accurate assessment of probabilities of rare events represented by computationally demanding, physically-based models. By combining the two methods, the eBN framework provides a unified and powerful tool for efficiently computing probabilities of rare events in complex structural and infrastructure systems in which information evolves in time. Strategies for modeling and efficiently analyzing the eBN are described by way of several conceptual examples. The companion paper applies the eBN methodology to example structural and infrastructure systems.


Representing Bayesian Networks within Probabilistic Horn Abduction

This paper presents a simple framework for Horn clause abduction, with p...

Reliability updating with equality information

In many instances, information on engineering systems can be obtained th...

Optimal monitoring location for risk tracking of geotechnical systems: theory and application to tunneling excavation risks

The maturity of structural health monitoring technology brings ever-incr...

Value of information from vibration-based structural health monitoring extracted via Bayesian model updating

Quantifying the value of the information extracted from a structural hea...

Adaptive network reliability analysis: Methodology and applications to power grid

Flow network models can capture the underlying physics and operational c...

Quantitative system risk assessment from incomplete data with belief networks and pairwise comparison elicitation

A method for conducting Bayesian elicitation and learning in risk assess...

Bayesian Networks for Dependability Analysis: an Application to Digital Control Reliability

Bayesian Networks (BN) provide robust probabilistic methods of reasoning...