Software

Rational-RC is a practical life cycle deterioration modelling framework. It utilizes the field survey data and provides probabilistic predictions of the RC structure deterioration through different stages of the service life cycle. It covers various deterioration mechanisms such as membrane deterioration, concrete carbonation and chloride penetration, corrosion and cracking.

This research project developed software using probabilistic life-cycle deterioration models for RC structures. It assesses current conditions and predicts future performance using field data, enabling effective scheduling of maintenance or repairs to extend the asset’s life. The software evaluates various deterioration stages, enhancing asset management.

A customized Python module for interactive curving fitting in Jupyter Notebook environment right in the browser such as Chrome. It allows users to interactively fit Butler-Volmer equations and its variations to potentiodynamic scan curves. The optimization process is powered by non-linear least squares algorithms from Scipy. It features a user-friendly plotting GUI with Jupyter Notebook widgets. This current release provides options for interactive data range selection, linear/log axis switching, auto-zoomed plotting, and post-IR compensation. The fitted results include corrosion parameters such as corrosion potential, corrosion current, Tafel slopes, polarization resistance, and goodness of fit (R2 score and Chi2 score).

The model initially operates in “open circuit mode” to determine the Open Circuit Potential (OCP). In “scan mode,” it modifies the rebar electrode potential in small steps, within specified scan range bounds, based on the OCP. This potentiodynamic scan process, coded in Python and solved numerically using Scipy’s iterative optimization, improves accuracy by using previous solutions as initial guesses for subsequent steps.