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Simulation of Slip-Oxidation Process by Mesh Adaptivity in a Cohesive Zone Framework
Michal Sedlak Mosesson1, Bo Alfredsson1, Pål Efsing1,2
1Department of Engineering Mechanics, Royal Institute of Technology KTH, SE-100 44 Stockholm, Sweden.
Materials (Basel, Switzerland)
|July 2, 2021
Summary
A new multi-physics model simulates intergranular stress corrosion cracking (IGSCC) in boiling water reactors (BWR) by adaptively modeling oxide thickness. This approach accurately replicates IGSCC cyclic processes and validates experimental data.
Area of Science:
- Materials Science
- Nuclear Engineering
- Computational Mechanics
Background:
- Intergranular stress corrosion cracking (IGSCC) is a critical failure mechanism in boiling water reactors (BWRs).
- Accurate modeling of oxide layer behavior is essential for predicting IGSCC progression.
- Existing models may not fully capture the coupled physics of oxide growth and fracture.
Purpose of the Study:
- To develop a cohesive element-based multi-physics model that incorporates adaptive oxide thickness.
- To simulate the complex phenomena of IGSCC in BWR environments.
- To couple fracture properties with evolving oxide layers.
Main Methods:
- A multi-physics model was developed using cohesive elements.
- A slip-oxidation and diffusion model was integrated to simulate oxide behavior.
- Oxide thickness was adaptively updated within structural iterations, representing the cohesive element's physical length.
- The cyclic process of oxide film growth, rupture, and re-passivation was modeled.
Main Results:
- The model successfully simulated the cyclic physics of slip-oxidation.
- Adaptive oxide thickness was effectively coupled with cohesive element fracture properties.
- Model predictions showed good agreement with experimental data for stress intensity factor, cold work effects, and environmental factors (conductivity, corrosion potential).
Conclusions:
- The developed multi-physics model provides a robust framework for simulating IGSCC in BWRs.
- Adaptive oxide thickness is a crucial factor in accurately predicting IGSCC behavior.
- The model's validation against experimental results demonstrates its potential for engineering applications.
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