Hostname: page-component-84b7d79bbc-rnpqb Total loading time: 0 Render date: 2024-07-25T11:02:42.595Z Has data issue: false hasContentIssue false
  • English
  • Français

Implentation of Automated Image Acquisition and Image Analysis of Concrete in an Environmental Scanning Electron Microscope

Published online by Cambridge University Press:  02 July 2020

Richard L. Schalek ,
Mohamed Elzafraney ,
Parviz Soroushian  and
Lawrence T. Drzal
Richard L. Schalek
Affiliation:
Composite Materials and Structures Center, Michigan State University, East Lansing, MI, 48824
Mohamed Elzafraney
Affiliation:
Department of Civil Engineering, Michigan State University, East Lansing, MI, 48824
Parviz Soroushian
Affiliation:
Department of Civil Engineering, Michigan State University, East Lansing, MI, 48824
Lawrence T. Drzal
Affiliation:
Composite Materials and Structures Center, Michigan State University, East Lansing, MI, 48824 Department of Chemical Engineering, Michigan State University, East Lansing, MI, 48824
Get access

Abstract

The annual concrete consumption of two tons for every U.S. citizen makes it the most widely used construction material. Preserving this large concrete infrastructure requires an understanding of the deterioration and failure processes. Concrete exhibits composite behavior at several length scales (millimeter, micron, and submicron). in conjunction with this complex micro structure, damage processes such as crack formation and void collapse occurs at these various length scales. The diverse length scales combined with the large dimensions (meters) of concrete systems necessitates examination of macroscopic areas/volumes at microscopic magnifications to characterize damaged structures. This translates into examining large specimens, capturing a large number of images, and performing analysis on each image. Automating the image capture and image analysis greatly reduces the labor in evaluating damaged concrete structures.

Automated specimen positioning and image capture from an environmental scanning electron microscope (ESEM, ElectroScan 2020) and automated image analysis (Noesis Visilog 5.3 image analysis software) were synthesized with statistical and stereo logical principles into a comprehensive system for quantitative micro structural investigation of concrete.

Type
Instrument Automation (Organized by W. Deruijter and C. Potter)
Information
Microscopy and Microanalysis , Volume 7 , Issue S2: Proceedings: Microscopy & Microanalysis 2001, Microscopy Society of America 59th Annual Meeting, Microbeam Analysis Society 35th Annual Meeting, Long Beach, California August 5-9, 2001 , August 2001 , pp. 978 - 979
Copyright
Copyright © Microscopy Society of America 2001

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1.) Mehta, P.K. and Monteiro, P.J.M., “Concrete Structure, Properties and Materials,” Prentice-Hall, 548(1993).Google Scholar

2.) Bentz, D.P., Garboczi, E.J., Jennings, H.M., and Quenard, D.A., “Multi-Scale Digital-Image-Based Modeling of Cement-Based Materials,” mat. Res. Soc. Symp. Proc. 370, 33 (1995).CrossRefGoogle Scholar