Year-end Sale % OFF 
Abstract
Optimization of maintenance and design of coastal steel infrastructure needs for long-term predictive degradation models. The phenomenon of corrosion in the offshore and coastal environment is very complex due to the stochastic and changing nature of the environment (temperature, water chemical properties) and the multiple involved processes in competition. In the GEROM French project, the objective was to build a database of the residual thickness measured from ultrasonic measurements on sheet piles and piles carried out during 40 years in commercial and military harbors along the French coast. A total amount of 35,460 measurements were gathered. After a detailed analysis of the data and statistical modeling, a probabilistic model of corrosion is proposed for sheet piles. It relies on a piecewise description of the process with the depth depending on the exposed zone and a time-dependent evolution of parameters of the gamma probability density function.
Highlights
Corrosion of steel fixed or moving marine structures has focused attention on research since the beginning of the last century
Humble for sheet piles in North Carolina (1949) [24], Edwards for coupons in eight locations in the USA (1963) [25], Songa for harbors in Great Brittany and the Netherlands (1981) [26], and Memet for harbors in France [6], all share the same point of view, as illustrated by Figure 6 [24]: the corrosion profile is varying non-linearly with depth, with ratios up to three between losses of thickness in different zones
The spatial variability of steel corrosion in marine environments cannot be objectively modeled in a quantitative way by deterministic models
Summary
Corrosion of steel fixed or moving marine structures has focused attention on research since the beginning of the last century. It was required to design ships, piles, sheet piles by adding sacrificial thickness or by computing the required cathodic protection. Two types of uncertain outputs are proposed: the residual thickness (or the corroded thickness) and the corrosion rate. The latter requires an assumption of the evolution of the rate of time. The design lifetime is fixed and known; an average corrosion rate along the life-time is, usually provided. By focusing on inspection and maintenance optimization, the decision time (inspection/repair) is varying and a time-variant model of the residual thickness is needed
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
