Spatial Probabilistic Modeling of Deterioration and Inspection

Abstract

Every experienced engineer who is concerned with analyses of deteriorating structures in-service is aware that the planning and interpretation of inspection and measurements must account for the spatial variability in the deterioration process. The number of inspection samples required depends on it, as well as the significance of their results for the overall structure. In addition, the optimal selection of maintenance actions requires knowledge of the spatial distribution of the damages caused by deterioration.

This special session aims to bring together
(a) researchers that are working on spatial probabilistic models of deterioration, including corrosion of reinforcement in RC structures, corrosion of steel in process systems, pipelines and steel structures, fatigue and other localized damages in large structural systems;
(b) researchers and practitioners working on optimizing inspections in spatially distributed systems.
The goal of this session is to provide an overview of the state-of-the-art in available probabilistic models for these applications, and to raise the discussion on what future developments are required.

Organizers

Daniel Straub, Daniel Straub, TU München, Germany, (straub@era.bv.tum.de)
Mark G. Stewart, The University of Newcastle, New South Wales, Australia