Hardened Concrete Air Void Analysis with a Flatbed Scanner
Abstract
Digital images collected from a polished concrete surface with a flatbed scanner are used to quantify air void characteristics. The surface is scanned a total of three times. Between the first and second scans, the surface is stained with phenolphthalein to color the cement paste pink. Between the second and third scans, the surface is painted black, and white powder is pressed into depressions left by air voids. The images collected from the three scans are aligned and input into a classification scheme to yield an output image. Each pixel in the output image is categorized as air void, cement paste, or aggregate. By digitally applying a grid of points and a series of lines to the output image, a modified point count is automatically performed according to ASTM C457, Standard Test Method for Microscopical Determination of Parameters of the Air-Void System in Hardened Concrete. A comparison is made between results obtained by an automatic analysis of the digital output image and results obtained by a manual analysis of the surface with an optical microscope.
Get full access to this article
View all access and purchase options for this article.
References
1. Chatterji S., and Gudmundsson H. Characterization of Entrained Air Bubble Systems in Concrete by Means of an Image Analyzing Microscope. Cement and Concrete Research, Vol. 7, No. 4, Aug. 1977, pp. 423–428.
2. Dewey G. R., and Darwin D. Image Analysis of Air Voids in Air Entrained Concrete. SM Report 29. University of Kansas Center for Research, Lawrence, 1991.
3. MacInnis C., and Racic D. The Effect of Superplasticizers on the Air-Void System in Concrete. Cement and Concrete Research, Vol. 16, No. 3, May 1986, pp. 345–352.
4. Schlorholz S. Image Analysis for Evaluating Air Void Parameters of Concrete. Project HR-396 Final Report. Iowa Department of Transportation, Ames, 1998.
5. Powers T. C. A Working Hypothesis for Further Studies of Frost Resistance of Concrete. ACI Journal Proceedings, Vol. 16, No. 4, 1945, pp. 245–272.
6. Snyder K. A. A Numerical Test of Air-Void Spacing Equations. Advances in Cement-Based Materials, Vol. 8, No. 28, 1998, pp. 28–44.
7. Research Systems, Inc. Envi 3.2. Sept. 3, 2000. http://www.envi-sw.com/. Accessed April 1, 2001.
8. Sutter L. L. Modified Point Count Macro for NIH Image. Nov. 16, 2000. http://techsrv1.tech.mtu.edu/~llsutter/. Accessed April 1, 2001.
9. Jensen J. R. Introductory Digital Image Processing: A Remote Sensing Perspective. Prentice Hall, Upper Saddle River, N.J., 1996.
10. Wiese D., Thomas M. D. A., Thornton M., and Peng D. A New Method of Air Void Analysis for Structural Concrete. Proc., 22nd International Conference on Cement Microscopy, International Cement Microscopy Association, Montreal, Quebec, Canada, 2000, pp. 389–398.
Cite article
Cite article
Cite article
OR
Download to reference manager
If you have citation software installed, you can download article citation data to the citation manager of your choice
Information, rights and permissions
Information
Published In
Article first published: January 2001
Issue published: January 2001
Authors
Metrics and citations
Metrics
Journals metrics
This article was published in Transportation Research Record: Journal of the Transportation Research Board.
VIEW ALL JOURNAL METRICSArticle usage*
Total views and downloads: 100
*Article usage tracking started in December 2016
Altmetric
See the impact this article is making through the number of times it’s been read, and the Altmetric Score.
Learn more about the Altmetric Scores
Articles citing this one
Receive email alerts when this article is cited
Web of Science: 0
Crossref: 25
- Innovative sieve simulation and microstructure image analysis techniqu...
- Automated image segmentation of air voids in hardened concrete surface...
- Effect of processing on the air void system of 3D printed concrete
- Open‐source deep learning‐based air‐void detection algorithm for concr...
- Influence of mesoscopic pore characteristics on the splitting-tensile ...
- Surfactant properties of a biomimetic antifreeze polymer admixture for...
- A new method for estimating pollutant concentration in unsaturated soi...
- Image-based restoration of the concrete void system using 2D-to-3D unf...
- Analysis of air voids in cementitious materials using micro X-ray comp...
- A 3D petrographic analysis for concrete freeze-thaw protection
- Influence of Pumping/Extrusion on the Air-Void System of 3D Printed Co...
- Advances in Measuring Air-Void Parameters in Hardened Concrete Using a...
- Using Fractal Geometry to Recover the 3D Air Void, Scale-Independent, ...
- Assessing the efficiency of entrained air voids for freeze-thaw durabi...
- Robust Test of the Flatbed Scanner for Air-Void Characterization in Ha...
- An image analysis procedure to quantify the air void system of mortar ...
- Composition of concrete
- Desktop Scanner Metrology
- A probabilistic technique for entrained air void analysis in hardened ...
- EFFECTS OF AGGREGATE PARTICLES ON SPATIAL DISTRIBUTION OF SUPERABSORBE...
- Wetting and drying of concrete using aqueous solutions containing deic...
- Methods for threshold optimization for images collected from contrast ...
- Strategies for finding the adequate air void threshold value in comput...
- Using X-ray computed tomography to study paving materials
- Determination of the size distribution and percentage of broken kernel...
Figures and tables
Figures & Media
Tables
View Options
Get access
Access options
If you have access to journal content via a personal subscription, university, library, employer or society, select from the options below:
loading institutional access options
Alternatively, view purchase options below:
Purchase 24 hour online access to view and download content.
Access journal content via a DeepDyve subscription or find out more about this option.
