A Probabilistic Framework for Performance-Based Durability Engineering: Application to Corrosion in Reinforced Concrete

A proposed probabilistic framework for performance-based durability engineering is motivated by the successful implementation of the Pacific Earthquake Engineering Research Center's framework for performance-based earthquake engineering. Both approaches combine several stages of analysis linked through a limited set of “pinch point” variables, which allows modeling flexibility. The analysis extends to the computation of information useful to decision makers, and can also provide sensitivity analysis of the modeling stages to be used to direct future research. The major stages, variables, datasets, and models to be used are outlined with corrosion in reinforced concrete as the cause of deterioration.

[1]  Ronald O. Hamburger,et al.  THE ATC-58 PROJECT: DEVELOPMENT OF NEXT- GENERATION PERFORMANCE-BASED EARTHQUAKE ENGINEERING DESIGN CRITERIA FOR BUILDINGS , 2006 .

[2]  R. Melchers,et al.  Phenomenological Modeling of Reinforcement Corrosion in Marine Environments , 2006 .

[3]  Michael Havbro Faber,et al.  fib Bulletin 34. Model Code for Service Life Design , 2006 .

[4]  G. Meschke,et al.  Modeling of Chloride and CO2 transport in intact and cracked concrete in the context of corrosion predictions of RC structures , 2010 .

[5]  Michael D. Lepech,et al.  Probabilistic design framework for sustainable repari and rehabilitation of civil infrastructure , 2011 .

[6]  Sarah L. Billington,et al.  IMPLEMENTATION OF MULTISCALE MODELS IN A PROBABILISTIC FRAMEWORK FOR PERFORMANCE-BASED DURABILITY ENGINEERING , 2011 .

[7]  Joseph A Guerre,et al.  Framework for Using Pontis Bridge Management System to Support Development of Bridge Programs , 2007 .

[8]  Ueli Angst,et al.  Critical Chloride Content in Reinforced Concrete: A Review , 2009 .

[9]  Samuel Labi,et al.  Multi-Objective Optimization for Bridge Management Systems , 2007 .

[10]  Carmen Andrade,et al.  Chloride penetration into concrete structures in the marine atmosphere zone – Relationship between deposition of chlorides on the wet candle and chlorides accumulated into concrete , 2007 .

[11]  Paul D Thompson,et al.  Markovian bridge deterioration: developing models from historical data , 2005 .

[12]  P. Moonen.  Contiuous-discontinuous modelling of hygrothermal damage processes in porous media. , 2009 .

[13]  A.J.M. Siemes,et al.  Duracrete: Service life design for concrete structures , 1999 .

[14]  Michael P. Enright,et al.  Probabilistic analysis of resistance degradation of reinforced concrete bridge beams under corrosion , 1998 .

[15]  P. Moonen.  Continuous-Discontinuous Modelling of Hygrothermal Damage Processes in Porous Media (Continue-discontinue modellering van hygrothermische schadeprocessen in poreuze media) , 2009 .

[16]  G. K. Rutledge,et al.  NOMADS A Climate and Weather Model Archive at the National Oceanic and Atmospheric Administration , 2006 .

[17]  Anders Lindvall,et al.  Chloride ingress data from field and laboratory exposure – Influence of salinity and temperature , 2007 .

[18]  M. Geiker,et al.  Numerical modelling of reinforcement corrosion, influence of steel fibres and moisture content on resistivity and corrosion current density , 2009 .

[19]  Mark G. Stewart,et al.  Predicting the Likelihood and Extent of Reinforced Concrete Corrosion-Induced Cracking , 2005 .

[20]  Palle Thoft-Christensen,et al.  Assessment of the Reliability Profiles for Concrete Bridges , 1998 .

[21]  Andrzej S. Nowak,et al.  Effect of Reinforcing Steel Area Loss on Flexural Behavior of Reinforced Concrete Beams , 1991 .

[22]  Koichi Maekawa,et al.  Multi-scale modeling of structural concrete , 2008 .

[23]  Chun-Qing Li,et al.  Time dependent reliability analysis of corrosion induced concrete cracking , 2005 .