What question did this study set out to answer?

To develop efficient procedures using Python for finite element analysis (FEA) to assess thermal fatigue damage in large-scale specimens.

March 26, 2026Open Access

Simplified Evaluation of Thermal Fatigue Test Using an Open Source CAE Salome-Meca

Key Points

To develop efficient procedures using Python for finite element analysis (FEA) to assess thermal fatigue damage in large-scale specimens.
Developed Python scripts for conducting finite element analysis (FEA)
Created organized procedures for processing FEA results
Validated assessment methods with simplified evaluations of low cycle fatigue.
Established a systematic approach for thermal fatigue evaluation
Reduced time and costs associated with traditional analytical methods
Provided a reliable validation framework despite limited experimental data.

Abstract

In thermal and nuclear plants, thermal fatigue damages are sometimes generated. Analytical evaluation of thermal fatigues is generally costly and time consuming for the complexity of the assessment procedures. In addition, experimental data available for the validation of thermal fatigue analysis are limited for the large scale specimen and costly test apparatus needed. The purpose of this study was to develop systematically organized procedures using Python to perform FEA and process the results, and to validate the assessment procedures including a simplified method to evaluate low cycle fatigue damage from an elastic FEA.

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