Uncertainty quantification of the lifetime of self-healing thermal barrier coatings based on surrogate modelling of thermal cyclic fracture and healing
Computationally-efficient surrogate models based on a Polynomial Chaos Expansion (PCE) are developed to quantify the uncertainties in the fracture behavior and lifetime of a self-healing thermal barrier coating system (SH-TBC) and a benchmark conventional TBC system. The surrogate models are built u...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-09-01
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| Series: | Materials & Design |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0264127522005950 |
| _version_ | 1818496526252507136 |
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| author | Anuj Kumthekar Sathiskumar A. Ponnusami Sybrand van der Zwaag Sergio Turteltaub |
| author_facet | Anuj Kumthekar Sathiskumar A. Ponnusami Sybrand van der Zwaag Sergio Turteltaub |
| author_sort | Anuj Kumthekar |
| collection | DOAJ |
| description | Computationally-efficient surrogate models based on a Polynomial Chaos Expansion (PCE) are developed to quantify the uncertainties in the fracture behavior and lifetime of a self-healing thermal barrier coating system (SH-TBC) and a benchmark conventional TBC system. The surrogate models are built using deterministic information from micromechanical finite element simulations of thermal cycling of the systems, which are conducted until failure by spallation. Fracture and healing events are simulated using a cohesive-zone based crack healing model. The thermally-grown oxide layer (TGO) interface amplitude and its growth rate, the diameter and volume fraction of healing particles, and the mean distance of particles from the interface are used as training variables. Statistical characteristics and sensitivity indices are obtained from the trained models. It is found that the interface amplitude is the most significant contributor to the variance in the TBC lifetime, with other parameters displaying a relatively minor influence. Healing particles extend the expected value of TBC lifetime, however they also increase the uncertainty of thermal fatigue life. The analysis of self-healing TBCs exemplifies how PCE-based surrogate models can serve as a powerful tool for deriving design insights in complex material systems. |
| first_indexed | 2024-12-10T18:34:01Z |
| format | Article |
| id | doaj.art-f1285481234646e3a040084ee37098a0 |
| institution | Directory Open Access Journal |
| issn | 0264-1275 |
| language | English |
| last_indexed | 2024-12-10T18:34:01Z |
| publishDate | 2022-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Materials & Design |
| spelling | doaj.art-f1285481234646e3a040084ee37098a02022-12-22T01:37:52ZengElsevierMaterials & Design0264-12752022-09-01221110973Uncertainty quantification of the lifetime of self-healing thermal barrier coatings based on surrogate modelling of thermal cyclic fracture and healingAnuj Kumthekar0Sathiskumar A. Ponnusami1Sybrand van der Zwaag2Sergio Turteltaub3Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS Delft, the NetherlandsDepartment of Mechanical Engineering and Aeronautics, City, University of London, Northampton Square, EC1V 0HB London, United KingdomFaculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS Delft, the NetherlandsFaculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS Delft, the Netherlands; Corresponding author.Computationally-efficient surrogate models based on a Polynomial Chaos Expansion (PCE) are developed to quantify the uncertainties in the fracture behavior and lifetime of a self-healing thermal barrier coating system (SH-TBC) and a benchmark conventional TBC system. The surrogate models are built using deterministic information from micromechanical finite element simulations of thermal cycling of the systems, which are conducted until failure by spallation. Fracture and healing events are simulated using a cohesive-zone based crack healing model. The thermally-grown oxide layer (TGO) interface amplitude and its growth rate, the diameter and volume fraction of healing particles, and the mean distance of particles from the interface are used as training variables. Statistical characteristics and sensitivity indices are obtained from the trained models. It is found that the interface amplitude is the most significant contributor to the variance in the TBC lifetime, with other parameters displaying a relatively minor influence. Healing particles extend the expected value of TBC lifetime, however they also increase the uncertainty of thermal fatigue life. The analysis of self-healing TBCs exemplifies how PCE-based surrogate models can serve as a powerful tool for deriving design insights in complex material systems.http://www.sciencedirect.com/science/article/pii/S0264127522005950Surrogate modellingUncertainty quantificationSelf-healing TBCLifetime prediction |
| spellingShingle | Anuj Kumthekar Sathiskumar A. Ponnusami Sybrand van der Zwaag Sergio Turteltaub Uncertainty quantification of the lifetime of self-healing thermal barrier coatings based on surrogate modelling of thermal cyclic fracture and healing Materials & Design Surrogate modelling Uncertainty quantification Self-healing TBC Lifetime prediction |
| title | Uncertainty quantification of the lifetime of self-healing thermal barrier coatings based on surrogate modelling of thermal cyclic fracture and healing |
| title_full | Uncertainty quantification of the lifetime of self-healing thermal barrier coatings based on surrogate modelling of thermal cyclic fracture and healing |
| title_fullStr | Uncertainty quantification of the lifetime of self-healing thermal barrier coatings based on surrogate modelling of thermal cyclic fracture and healing |
| title_full_unstemmed | Uncertainty quantification of the lifetime of self-healing thermal barrier coatings based on surrogate modelling of thermal cyclic fracture and healing |
| title_short | Uncertainty quantification of the lifetime of self-healing thermal barrier coatings based on surrogate modelling of thermal cyclic fracture and healing |
| title_sort | uncertainty quantification of the lifetime of self healing thermal barrier coatings based on surrogate modelling of thermal cyclic fracture and healing |
| topic | Surrogate modelling Uncertainty quantification Self-healing TBC Lifetime prediction |
| url | http://www.sciencedirect.com/science/article/pii/S0264127522005950 |
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