BEASY Software and Services


BEASY will once again be presenting at this year’s CORROSION conference in April.

Unfortunately there is no exhibition this year but if you wish to find out more about the capabilities of BEASY simulation products, or how BEASY modelling services can provide the solutions you need, please This email address is being protected from spambots. You need JavaScript enabled to view it..


Supporting Integrity Management with a CP Digital Twin

Cristina Peratta will be presenting a new approach to corrosion integrity management where inspection data is integrated with a CP simulation model to enable the creation of a “digital twin” of the structure which can be used to predict the present and future protection provided to all parts of the structure.

Actual performance of a CP system will vary to some extent from predictions, due to a range of aspects such as divergence in coating degradation relative to values advised in standards and recommended practices; progressive change in environmental conditions; ‘as-built’ variations; and subsequent implementation of retrofits and modifications. Integrating CP data collected during routine inspection surveys with a CP simulation model enables a ‘digital twin’ of the structure to be created by adjusting the model to be effectively aligned to the measured inspection data. In this way, the simulation digital twin captures the behaviour of the structure and its associated CP systems, at the times the surveys were performed. The model then provides a baseline which can then be further exploited to, for example, predict current and future levels of protection across the complete existing structure, and to inform decision making on subsequent interventions and mitigations.


See Cristina Peratta present
Friday 23rd April @ 8:30 (EDT, USA Time); 13:30 (UK Time)

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Using a Computational Galvanic Model in a Fracture Mechanics Framework to Improve Material Degradation Prediction

Tom Curtin will be presenting some recent work on the combined effects of corrosion and crack growth on the integrity of structures. Although development of computational methods has been undertaken to predict corrosion and fatigue crack growth rates for metallic structures, challenges remain in the implementation of a methodology that considers the combined effects.

In this work the output from a galvanic model is used to determine the spatial distribution of corrosion damage; providing a guide for the location of discrete corrosion damage features that can be analyzed using stress fields from structural models. In order to build confidence in this approach the galvanic models are validated by comparing predicted results to surface damage measurements from test specimens subject to ambient atmospheric exposure.


See Tom Curtin present
Monday 26th April @ 8:30 (EDT, USA Time); 13:30 (UK Time)

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