Determination of Maximum Accuracy of Concrete Textures as Natural Targets for Movement Tracking Through DIC
The use of natural targets is one of the obstacles to the extensive use of digital image cross-correlation for measuring movements in civil structures. Long distance measurement through image and without access to the structure itself, brings results in an improvement in accessibility, being the pro...
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Published in | Journal of nondestructive evaluation Vol. 42; no. 3 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
New York
Springer US
01.09.2023
Springer Nature B.V |
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Abstract | The use of natural targets is one of the obstacles to the extensive use of digital image cross-correlation for measuring movements in civil structures. Long distance measurement through image and without access to the structure itself, brings results in an improvement in accessibility, being the procedure cheaper and safer than common methods that require direct access to the measuring point. One of the most used materials in construction is concrete. Therefore, it is important to analyze its performance when using image cross-correlation. In this work, we have made a series of concrete probes with different production characteristics to have a representative variety of concrete surfaces. With them, we have studied their floor error in a cross-correlation procedure using different illumination and blur conditions, to evaluate the influence of those parameters on the results. All results are compared to those obtained using the conventional texture for image cross-correlation techniques, that is a pseudo-speckle target. All experiments are done in laboratory conditions to control all variables involved and to avoid the influence of other variables linked to open air conditions, such as atmospheric disturbances. As a result, we have determined the best conditions to use the natural concrete texture and we have quantified that using this texture leads to a decrease in the accuracy of the results from two to three times the one obtained with a typical pseudo-speckle texture. |
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AbstractList | The use of natural targets is one of the obstacles to the extensive use of digital image cross-correlation for measuring movements in civil structures. Long distance measurement through image and without access to the structure itself, brings results in an improvement in accessibility, being the procedure cheaper and safer than common methods that require direct access to the measuring point. One of the most used materials in construction is concrete. Therefore, it is important to analyze its performance when using image cross-correlation. In this work, we have made a series of concrete probes with different production characteristics to have a representative variety of concrete surfaces. With them, we have studied their floor error in a cross-correlation procedure using different illumination and blur conditions, to evaluate the influence of those parameters on the results. All results are compared to those obtained using the conventional texture for image cross-correlation techniques, that is a pseudo-speckle target. All experiments are done in laboratory conditions to control all variables involved and to avoid the influence of other variables linked to open air conditions, such as atmospheric disturbances. As a result, we have determined the best conditions to use the natural concrete texture and we have quantified that using this texture leads to a decrease in the accuracy of the results from two to three times the one obtained with a typical pseudo-speckle texture. Abstract The use of natural targets is one of the obstacles to the extensive use of digital image cross-correlation for measuring movements in civil structures. Long distance measurement through image and without access to the structure itself, brings results in an improvement in accessibility, being the procedure cheaper and safer than common methods that require direct access to the measuring point. One of the most used materials in construction is concrete. Therefore, it is important to analyze its performance when using image cross-correlation. In this work, we have made a series of concrete probes with different production characteristics to have a representative variety of concrete surfaces. With them, we have studied their floor error in a cross-correlation procedure using different illumination and blur conditions, to evaluate the influence of those parameters on the results. All results are compared to those obtained using the conventional texture for image cross-correlation techniques, that is a pseudo-speckle target. All experiments are done in laboratory conditions to control all variables involved and to avoid the influence of other variables linked to open air conditions, such as atmospheric disturbances. As a result, we have determined the best conditions to use the natural concrete texture and we have quantified that using this texture leads to a decrease in the accuracy of the results from two to three times the one obtained with a typical pseudo-speckle texture. |
ArticleNumber | 58 |
Author | Ferrer, B Tomás, M. B. Mas, D. |
Author_xml | – sequence: 1 givenname: B surname: Ferrer fullname: Ferrer, B email: belen.ferrer@ua.es organization: University Institute of Physics Applied to the Sciences and Technologies, University of Alicante – sequence: 2 givenname: M. B. surname: Tomás fullname: Tomás, M. B. organization: University Institute of Physics Applied to the Sciences and Technologies, University of Alicante – sequence: 3 givenname: D. surname: Mas fullname: Mas, D. organization: University Institute of Physics Applied to the Sciences and Technologies, University of Alicante |
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Keywords | Concrete texture DIC target Brightness and blur conditions Measurement accuracy |
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SubjectTerms | Characterization and Evaluation of Materials Classical Mechanics Control Cross correlation Digital imaging Distance measurement Dynamical Systems Engineering Error analysis Solid Mechanics Texture Tracking Vibration |
Title | Determination of Maximum Accuracy of Concrete Textures as Natural Targets for Movement Tracking Through DIC |
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