Identification of Dominant Shape Characteristic for Particle Packing Models using an Imaging Technique for Aggregates

1
Madhuri N. Mangulkar
Madhuri N. Mangulkar
2
Sudddhasheel Ghosh
Sudddhasheel Ghosh
3
Sanjay S. Jamkar
Sanjay S. Jamkar

Send Message

To: Author

GJRE Volume 21 Issue E1

Article Fingerprint

ReserarchID

G2612

Identification of Dominant Shape Characteristic for Particle Packing Models using an Imaging Technique for Aggregates Banner

AI TAKEAWAY

The objective of our study was to evaluate, in a population of Togolese People Living With HIV(PLWHIV), the agreement between three scores derived from the general population namely the Framingham score, the Systematic Coronary Risk Evaluation (SCORE), the evaluation of the cardiovascular risk (CVR) according to the World Health Organization.
  • English
  • Afrikaans
  • Albanian
  • Amharic
  • Arabic
  • Armenian
  • Azerbaijani
  • Basque
  • Belarusian
  • Bengali
  • Bosnian
  • Bulgarian
  • Catalan
  • Cebuano
  • Chichewa
  • Chinese (Simplified)
  • Chinese (Traditional)
  • Corsican
  • Croatian
  • Czech
  • Danish
  • Dutch
  • Esperanto
  • Estonian
  • Filipino
  • Finnish
  • French
  • Frisian
  • Galician
  • Georgian
  • German
  • Greek
  • Gujarati
  • Haitian Creole
  • Hausa
  • Hawaiian
  • Hebrew
  • Hindi
  • Hmong
  • Hungarian
  • Icelandic
  • Igbo
  • Indonesian
  • Irish
  • Italian
  • Japanese
  • Javanese
  • Kannada
  • Kazakh
  • Khmer
  • Korean
  • Kurdish (Kurmanji)
  • Kyrgyz
  • Lao
  • Latin
  • Latvian
  • Lithuanian
  • Luxembourgish
  • Macedonian
  • Malagasy
  • Malay
  • Malayalam
  • Maltese
  • Maori
  • Marathi
  • Mongolian
  • Myanmar (Burmese)
  • Nepali
  • Norwegian
  • Pashto
  • Persian
  • Polish
  • Portuguese
  • Punjabi
  • Romanian
  • Russian
  • Samoan
  • Scots Gaelic
  • Serbian
  • Sesotho
  • Shona
  • Sindhi
  • Sinhala
  • Slovak
  • Slovenian
  • Somali
  • Spanish
  • Sundanese
  • Swahili
  • Swedish
  • Tajik
  • Tamil
  • Telugu
  • Thai
  • Turkish
  • Ukrainian
  • Urdu
  • Uzbek
  • Vietnamese
  • Welsh
  • Xhosa
  • Yiddish
  • Yoruba
  • Zulu

Aggregates occupy most of the volume of concrete. A proper packing of aggregates with binding material ensures reduction in voids and thereby better performance of concrete. A good packing of the aggregates in a mix can be achieved by filling up the void space left by large or coarse aggregates by the finer aggregates, followed by standard process of compaction. Therefore, precise evaluation of characteristics of ingredients of concrete is highly essential. Various mathematical models for studying concrete mix proportions have been proposed in the literature. Most of these models have remained restricted to studying spherical or near-spherical particles. Therefore there is a need to understand whether there is a possibility of extending the existing theories to non-spherical particles also. The paper also presents the development of Digital Image Processing (DIP) based system for the measurement of volume, equivalent volume diameter, sphericity, roundness index of coarse aggregate particles.

Article content is being processed or not available yet.

11 Cites in Articles

References

  1. Francois De Larrard (1999). Concrete Mixture Proportioning.
  2. V Senthilkumar,M Santhanam (2003). Packing density and homogeneity of granular mixes.
  3. F De Larrard,T Sedran (1994). Optimization of ultra-high-performance concrete by the use of a packing model.
  4. F De Larrard,T Sedran (2002). Mixture-Proportioning of High-Performance Concrete.
  5. F De Larrard (1989). Ultrafine particles for the making of very high strength concretes.
  6. R Zou,A Yu (1996). Evaluation of the packing characteristics of mono-sized non-spherical particles.
  7. A Yu,R Zou,Standish N (1996). Modifying the Linear Packing Model for Predicting the Porosity of nonspherical Particle Mixtures.
  8. S Fennis (2010). Design of ecological concrete by particle packing optimization.
  9. S Fennis,T Nijland,J Walraven (2011). Measuring the packing density to lower the cement content in concrete.
  10. R Barksdale,M Kemp,W Sheffield,J Hubbard (1991). Transportation Research Record' 1301.
  11. C-Y Kuo,J Frost,J Lai,L Wang (1996). Three-Dimensional Image Analysis of Aggregate Particles from Orthogonal Projections.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

madhuri_n._mangulkar. 2021. \u201cIdentification of Dominant Shape Characteristic for Particle Packing Models using an Imaging Technique for Aggregates\u201d. Global Journal of Research in Engineering - E: Civil & Structural GJRE-E Volume 21 (GJRE Volume 21 Issue E1): .

Download Citation

Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords
Classification
GJRE-E Classification: FOR Code: 090599
Version of record

v1.2

Issue date

February 11, 2021

Language

English

Experiance in AR

The methods for personal identification and authentication are no exception.

Read in 3D

The methods for personal identification and authentication are no exception.

Article Matrices
Total Views: 2245
Total Downloads: 937
2026 Trends
Research Identity (RIN)
Related Research
Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]
×

This Page is Under Development

We are currently updating this article page for a better experience.

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

Quote and Order Details

Contact Person

Invoice Address

Notes or Comments

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

Identification of Dominant Shape Characteristic for Particle Packing Models using an Imaging Technique for Aggregates

Madhuri N. Mangulkar
Madhuri N. Mangulkar
Sudddhasheel Ghosh
Sudddhasheel Ghosh
Sanjay S. Jamkar
Sanjay S. Jamkar

Research Journals