Abstract: A generic framework for stochastic modeling of deterioration processes is proposed, based on dynamic Bayesian networks. The framework facilitates computationally efficient and robust reliability analysis and, in particular, ...

Abstract: We present an adaptive importance sampling (IS) method to estimate the reliability of linear structures with parameter uncertainties that are subjected to Gaussian process excitation. Structural failure is defined as a ...

Abstract: Many parameters influencing corrosion degradation are time variant and the corrosion process is thus subject to temporal variability, the real characteristics of which are commonly neglected in ...

Abstract: Reliability and risk-based inspection planning (RBI) has been developed in the past for single structural details subject to fatigue, based on structural reliability analysis. This paper extends ...

Abstract: Different approaches to determine the acceptance criteria for fatigue induced failure of structural systems and components are discussed and compared. The considered approaches take basis in either ...

Abstract: A systematic approach to determining reliability-based acceptance criteria for deteriorating elements in structural systems is proposed as a basis for calibration of safety factors in codes and standards and for verifying ...

Abstract: The enhanced Bayesian network (eBN) methodology described in the companion paper facilitates the assessment of reliability and risk of engineering systems when information about the system evolves in time. We present the ...

Abstract: We combine Bayesian networks (BNs) and structural reliability methods (SRMs) to create a new computational framework, termed enhanced BN (eBN), for reliability and risk analysis of engineering structures and infrastructure. ...