Life cycle (cost) analysis
Bijgewerkt op: 3 dagen geleden
Burak Karabulut from the Katholieke Universiteit (KU) Leuven has been working on generating corrosion data from different algorithms and risk models developed. Burak uses the algorithms and models as prediction tools for corrosion under a given set of environmental parameters. Implementing an algorithm and predicting corrosion risk in the real world requires training of these models with real-world data. The tests and measurements are carried out in both laboratory and field environments where real life scenarios are represented.
Burak is employing the corrosion data in feasibility studies and business cases where life cycle analysis (LCCA and LCA) can be performed. The analysis will highlight the economic influence of preventive actions against corrosion as well as the environmental impacts due to misinterpretation/ignorance of corrosion.
In the SOCORRO project, Burak has achieved very interesting results. His research concerns quantifying the economic and environmental gains by means of a smart corrosion management system and leads to pathways to tackle corrosion problem in a smarter way.
Figure 1(a) corroded state of a harbour steel sheet pile; (b) economic and environmental gain by use of the Smart SOCORRO system compared to the conventional approach.