Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
QUANTIFICATION OF SEGREGATION IN PORTLAND CEMENT CONCRETE BASED ON SPATIAL DISTRIBUTION OF AGGREGATE SIZE FRACTIONS
Date
2020-01-01
Author
ÖZEN, MURAT
Güler, Murat
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
119
views
0
downloads
Cite This
Segregation is one of the quality standards that must be monitored during the fabrication and placement of Portland cement concrete. Segregation refers to separation of coarse aggregate from the cement paste, resulting in inhomogeneous mixture. This study introduces a digital imaging based technique to quantify the segregation of Portland cement concrete from 2D digital images of cut sections. In the previous studies, segregation was evaluated based on the existence of coarse aggregate fraction at different geometrical regions of a sample cross section without considering its distribution characteristics. However, it is shown that almost all particle fractions can form clusters and increase the degree of segregation, thus deteriorating the structural performance of concrete. In the proposed methodology, a segregation index is developed by based on the spatial distribution of different size fractions of coarse aggregate within a sample cross section. It is shown that degradation in mixture's homogeneity is controlled by the combined effect of particle distribution and their relative proportions in the mixture. Hence, a segregation index characterizing the mixture inhomogeneity is developed by considering not only spatial distribution of aggregate particles, but also their size fractions in the mixture. The proposed methodology can be successfully used as a quality control tool for monitoring the segregation level in hardened concrete samples.
Subject Keywords
Biotechnology
,
Signal Processing
,
Acoustics and Ultrasonics
,
Instrumentation
,
Materials Science (miscellaneous)
,
General Mathematics
,
Radiology Nuclear Medicine and imaging
,
Computer Vision and Pattern Recognition
URI
https://hdl.handle.net/11511/69743
Journal
IMAGE ANALYSIS & STEREOLOGY
DOI
https://doi.org/10.5566/ias.2318
Collections
Department of Civil Engineering, Article
Suggestions
OpenMETU
Core
Utilization of GGBFS blended cement pastes in well cementing
Alp, Barış; Yaman, İsmail Özgür; Akın, Serhat; Department of Cement Engineering (2012)
In well cementing, the cement slurry is exposed to the conditions far different than those of ordinary Portland cement (PC) used in construction. After placement, hardened cement paste should preserve integrity and provide zonal isolation through the life of the well. American Petroleum Institute (API) Class G cement is the most common cement type used in various well conditions. Class G cement has a high degree of sulfate resistance which makes it more stable than PC when subjected to the compulsive well c...
Comprehensive Evaluation of AIMS Texture, Angularity, and Dimension Measurements
Mahmoud, Enad; Gates, Leslie; Masad, Eyad; Erdoğan, Sinan Turhan; Garboczi, Edward (American Society of Civil Engineers (ASCE), 2010-04-01)
Aggregates are the most widely used construction materials in the world in structures built from both asphaltic and portland cement concrete composites. The performance of these composites is affected by aggregate shape characteristics (e.g., angularity, texture, and dimensions). The aggregate imaging system (AIMS) is a computer automated system that was developed to measure aggregate shape characteristics using digital camera images of aggregates. This paper addresses four issues concerning AIMS measuremen...
Evaluation of the Predictive Models for Stiffness, Strength, and Deformation Capacity of RC Frames with Masonry Infill Walls
Turgay, Tahsin; Durmus, Meril Cigdem; Binici, Barış; Ozcebe, Guney (American Society of Civil Engineers (ASCE), 2014-10-01)
Buildings with masonry infill walls (MIWs) in reinforced concrete (RC) frames are commonly used all around the world. It is well known that infill walls may affect the strength, stiffness, and displacement ductility of the structural system. Different approaches have been adopted in different codes and guidelines to consider the stiffness and strength contribution of MIWs on RC frame behavior. This study compares the ability of the existing guidelines to estimate stiffness, strength, and deformability of RC...
The Effect of infill walls on the seismic performance of boundary columns in reinforced concrete frames
Fenerci, Aksel; Binici, Barış; Department of Civil Engineering (2013)
Reinforced concrete frames with unreinforced masonry infill walls constitute a significant portion of the building stock throughout the world. Infill walls in these buildings are generally considered as non-structural elements and neglected during design and assessment. On the other hand, observations after several earthquakes revealed that infill walls may have detrimental effects on the adjacent frame members. This observation brings out the requirement for further research on the effects of infill walls ...
Effects of cast-in-place concrete topping on flexural response of precast concrete hollow-core slabs
Baran, Eray (2015-09-01)
Results of a study focusing on the flexural response of precast prestressed concrete hollow-core slabs with cast-in-place concrete topping are presented. The experimental part of the study included load testing of five precast concrete hollow-core units. The numerically determined flexural response of test specimens was later compared with the experimentally obtained behavior. Results demonstrate that a major composite action is valid between the hollow-core unit and the topping slab under load levels corre...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
M. ÖZEN and M. Güler, “QUANTIFICATION OF SEGREGATION IN PORTLAND CEMENT CONCRETE BASED ON SPATIAL DISTRIBUTION OF AGGREGATE SIZE FRACTIONS,”
IMAGE ANALYSIS & STEREOLOGY
, pp. 147–159, 2020, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/69743.