Description
The material properties of concrete and reinforcing steel in reinforced concrete structures vary spatially across the structural dimensions due to the inherent heterogeneous nature of concrete. The spatial variation is further affected by active deterioration mechanisms such as freeze thaw damage, alkali silica reactivity, and corrosion of the reinforcing steel as all of these mechanisms are random. The spatial variation of concrete mechanical properties (compressive strength, tensile strength, modulus of elasticity) and corrosion effect of reduced section loss influence the structural reliability, and hence, the structural risk. Random nonlinear finite element (RNFE) simulation has been recently employed to assess structures with spatially varying properties using reliability analysis.
The objective of this paper is to present a systematic framework for structural risk-based condition assessment of existing steel reinforced concrete structures by employing a new class of probabilistic structural analysis using RNFE simulation. The methodology of performing the analysis will be detailed followed by presenting lessons learned from its application in real-life condition assessment projects in Canada. The paper will provide readers with insight into the application of advanced methods of analysis in consulting work for risk-based condition assessment of critical infrastructure. Recommendations for future research and analysis refinements will be discussed.
