Uncertainty quantification of semi-destructive testing for chloride content assessment for a concrete bridge in maritime environment

Frontiers in Built Environment

Built Environment

Alan John O’Conor¹  Franck Schoefs²  Stephanie Bonnet²  Keita Awa Zahui Raissa³ 

[1] Department of Civil, Structural and Environmental Engineering, Trinity College Dublin, Dublin, Ireland;Nantes Université, École Centrale Nantes, French National Centre for Scientific Research (CNRS), Research Institute in Civil and Mechanical Engineering (GeM), Nantes, France;Nantes Université, École Centrale Nantes, French National Centre for Scientific Research (CNRS), Research Institute in Civil and Mechanical Engineering (GeM), Nantes, France;Unité Mixte de Recherche et d’Innovation en Génie Civil, Géosciences et Sciences Géographiques, Institut National Polytechnique Houphouët Boigny, Yamoussoukro, Côte d’Ivoire;

关键词: coastal;    infrastructures;    concrete;    chloride;    inspection;    maintenance;    uncertainty;    modeling;   

DOI  :  10.3389/fbuil.2023.1130066

 received in 2022-12-22, accepted in 2023-03-30,  发布年份 2023

来源: Frontiers

【 摘 要 】

Reinforced concrete (RC) structures in harbors are designed for long life (50–70 years) and are subjected to chloride-induced corrosion. Diagnosis of these structures usually relies on inspections which consist of ponding salt in the concrete cover with semi-destructive testing (SDT). Uncertainties in inspection result in bad diagnosis, and consequently in bad decisions. This study aims at developing a methodology for quantifying the uncertainty of measurements taken on-site where the random properties of concrete play a role. This assessment was performed through multiple measurements by three operators from two laboratories on the same cores extracted from a 27-year-old existing bridge located in Ireland. A total of 566 measurements are available. The effect of the operator, laboratory, and protocols are highlighted and then modeled. It is shown that the error of assessment is a function of the chloride content and follows a student distribution. The standard deviation of this error reached approximately 15% of the chloride content. This error is further propagated through the Fick law parameters for measuring its effect on the diagnosis: a 17% change of the probability of corrosion initiation is shown. This is the first study of this type with in situ inspections and the work is partly transferable to other coastal or offshore structures.

【 授权许可】

Unknown   
Copyright © 2023 Schoefs, Awa Zahui Raissa, Bonnet and O’Conor.