Integrated testing and modelling of substructures using full-field imaging and data fusion

A new integrated testing and modelling paradigm based on full-field imaging and finite element (FE) analysis that utilises full-field data fusion is proposed for structural evaluation and model validation at substructure level. The approach is developed for the assessment of a composite wind turbine blade (WTB) substructure subjected to multiaxial loading, mimicking in-service conditions, using a new reconfigurable loading rig. A steel mock-up equivalent to the WTB substructure was used to demonstrate the new experimental, numerical, full-field imaging, and data fusion approaches. Digital Image Correlation (DIC) and Thermoelastic Stress Analysis (TSA) were used to obtain the complex load response of the substructure. Strains and displacements derived from DIC were fused with numerical predictions obtained using a FE-based stereo-DIC simulator, which provided unparalleled like-for-like data comparisons. A numerical FEA solution for TSA was also obtained that accounts for heat transfer and allowed an independent means of structural evaluation. The challenges of deploying full-field imaging on the substructure scale are highlighted alongside procedures for mitigating multiple deleterious effects that are concatenated in large structures testing. It is demonstrated that high quality and fidelity experimental data can be obtained and fused with numerical models to provide a comprehensive and quantitative structural assessment at the substructure scale. It is shown that the proposed full-field data fusion efficiently reveals uncertainties in both the models and experiments. The work provides important steps to support virtual testing at higher length scales and their integration into the design, development, and certification programs of next generation, high-performance structures. • A new UK national facility for multiaxial, data-rich testing of substructures is introduced. • The effectiveness of Digital Image Correlation and Thermoelastic Stress Analysis for large structures testing is demonstrated. • Full-field imaging and data fusion techniques reveal discrepancies between the model and the experiment. • A comprehensive, quantitative, full-field, like-for-like comparison between model and experimental data is achieved. • An integrated physical and virtual testing paradigm for next-generation, high performance, sustainable structures is presented.

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Publication Details

Journal
Engineering Structures
Published
2024-11-28
DOI
https://doi.org/10.1016/j.engstruct.2024.119338
Citations
3
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
0.78

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Integrated testing and modelling of substructures using full-field imaging and data fusion

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article

Integrated testing and modelling of substructures using full-field imaging and data fusion

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article en
3 citations

Abstract

A new integrated testing and modelling paradigm based on full-field imaging and finite element (FE) analysis that utilises full-field data fusion is proposed for structural evaluation and model validation at substructure level. The approach is developed for the assessment of a composite wind turbine blade (WTB) substructure subjected to multiaxial loading, mimicking in-service conditions, using a new reconfigurable loading rig. A steel mock-up equivalent to the WTB substructure was used to demonstrate the new experimental, numerical, full-field imaging, and data fusion approaches. Digital Image Correlation (DIC) and Thermoelastic Stress Analysis (TSA) were used to obtain the complex load response of the substructure. Strains and displacements derived from DIC were fused with numerical predictions obtained using a FE-based stereo-DIC simulator, which provided unparalleled like-for-like data comparisons. A numerical FEA solution for TSA was also obtained that accounts for heat transfer and allowed an independent means of structural evaluation. The challenges of deploying full-field imaging on the substructure scale are highlighted alongside procedures for mitigating multiple deleterious effects that are concatenated in large structures testing. It is demonstrated that high quality and fidelity experimental data can be obtained and fused with numerical models to provide a comprehensive and quantitative structural assessment at the substructure scale. It is shown that the proposed full-field data fusion efficiently reveals uncertainties in both the models and experiments. The work provides important steps to support virtual testing at higher length scales and their integration into the design, development, and certification programs of next generation, high-performance structures. • A new UK national facility for multiaxial, data-rich testing of substructures is introduced. • The effectiveness of Digital Image Correlation and Thermoelastic Stress Analysis for large structures testing is demonstrated. • Full-field imaging and data fusion techniques reveal discrepancies between the model and the experiment. • A comprehensive, quantitative, full-field, like-for-like comparison between model and experimental data is achieved. • An integrated physical and virtual testing paradigm for next-generation, high performance, sustainable structures is presented.

Engineering StructuresVol. 324
Bangor University (GB), University of Bristol (GB), University of Southampton (GB)
Engineering and Physical Sciences Research Council
Industry, innovation and infrastructure
Openalex Percentile: Top 29%
Structural Health Monitoring Techniques
0.78
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