01045156

Component

https://doi.org/10.3141/2020-01

http://scholar.google.com...Labi&publication_year=2007

Self-consolidating concrete (SCC) is a highly flowable, nonsegregating concrete that spreads into place, fills formwork, and encapsulates reinforcement without mechanical consolidation. SCC is increasingly being used worldwide because it has been found to offer a high-quality product with significant reductions in equipment use, construction time, labor, and construction noise. The stability, or static segregation resistance, of this new concrete type is typically assessed according to a hardened visual stability index (HVSI). Traditionally, HVSI assessment is based on visual judgment, and therefore its accuracy can be severely limited by human error, low efficiency, and work tedium. Thus, a study developed and implemented a methodology for automatically evaluating SCC stability. This was done in several steps: converting the image of a typical concrete sample (a cut surface with various shades of gray) into a binary image of light colors (aggregates) and dark colors (concrete cement), identifying aggregate sizes, detecting the mortar layer thickness, and using statistical analysis to derive the HVSI. Algorithms were developed for each phase and were implemented with standard coding languages. In effect, the methodology digitally processes a given concrete sample image and assesses its stability with respect to the HVSI. Accuracy of the new methodology was checked with control observations and was found to provide a reliable assessment of SCC stability in regard to static segregation resistance.

01084476

English

pp 1-9

2007

Transportation Research Record: Journal of the Transportation Research Board

9780309104470

Print

Figures (11) ; References (9) ; Tables (3)

Aggregate segregation; Algorithms; Image processing; Self compacting concrete

Automated inspection; Hardened concrete; Visual stability index

Highways; Materials; I32: Concrete

TRIS, TRB, ATRI

Feb 8 2007 8:01PM

• Alkali–Silica Reactivity Potential of Aggregate and Concrete Evaluated by Dilatometer Method: Performance-Based Approach
• Bulb-T Beams with Self-Consolidating Concrete on Route 33 in Virginia
• Development of Precision Statement for Determining Air Void Characteristics of Fresh Concrete with Use of Air Void Analyzer
• Effect of Coefficient of Thermal Expansion Test Variability on Concrete Pavement Performance as Predicted by Mechanistic-Empirical Pavement Design Guide
• Evaluation of Self-Consolidating Concrete for Drilled Shaft Applications at the Lumber River Bridge Project, South Carolina
• Fracture Mechanics Analysis for Saw Cutting Requirements of Concrete Pavements
• Freeze–Thaw Resistance of Concrete with Marginal Air Content
• Influence of Mixture Design and Environmental Factors on Continuously Reinforced Concrete Pavement Cracking
• Modified ASTM C 1293 Test Method to Investigate Potential of Potassium Acetate Deicer Solution to Cause Alkali–Silica Reaction
• Thermal and Autogenous Shrinkages of Very Early Strength Latex-Modified Concrete