CIVIL & ARCHITECTURE DOMAIN
Published July 4, 2023 | Version v1
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Variation in Characteristics of Concrete due to Change in Initial Properties – A Review

Authors/Creators

  • 1. M.Tech Scholar , Civil Engineering Dept. Sanjeev Agrawal Global Educational University, Bhopal
  • 2. Professor, Civil Engineering Dept. Sanjeev Agrawal Global Educational University, Bhopal

Description

This review paper examines the variation in characteristics of concrete resulting from changes in its initial properties. Concrete is a widely used construction material known for its versatility and durability. However, its performance can be significantly influenced by variations in the initial properties such as mix design, aggregate type, cementitious materials, water-cement ratio, and curing conditions. Understanding the relationship between these initial properties and the resulting variations in concrete characteristics is crucial for ensuring the desired performance and durability of concrete structures. This review critically analyzes existing literature and research studies to explore the effects of changing the initial properties on key characteristics of concrete, including strength, durability, workability, shrinkage, and permeability. The findings provide valuable insights into the mechanisms through which variations in the initial properties can impact the overall performance of concrete. The review also highlights the importance of quality control measures and appropriate selection of initial properties to achieve consistent and desirable concrete characteristics. By synthesizing the available knowledge on this topic, this review paper aims to contribute to the advancement of concrete technology and facilitate informed decision-making in the field of construction.

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References

  • 1. Mohammed, A.A.S. And Pandey, R.K. (2017). Effect of cement-water ratio on compressive strength and density of concrete, International Journal of Advances in Mechanical and Civil Engineering. 4(6).\
  • 2. Shohana Iffat (2021). Relation between Density and Compressive Strength of Hardened Concrete. Concrete Research Letters.6(4).
  • 3. Thomas, I. C. (2021). Determining of strength of high-performance concrete using artificial neural networks. Cement and Concrete research, 128(12), 1797-1808.
  • 4. Tanya, I. B., & Sukhwant, M. (2021). Prediction of compressive strength of concrete containing fly ash using regression analysis and fuzzy logic. Computational Materials Science, 72(3), 305-311.
  • 5. Funglee, S. C. (2020). Prediction of concrete strength using artificial neural networks. Engineering Structures, 25(7), 849-857.
  • 6. Kandal, M. A., & George, R. (2020). Concrete compressive strength prediction using ultrasonic pulse velocity through artificial neural networks. Automation in Construction, 15(3), 374-379
  • 7. Yakula, I. C. (2019). Design of high-performance concrete mixture using neural networks and nonlinear programming. Journal of Computing in Civil Engineering, 59(1), 36-42.
  • 8. Dayar, J., Racz, J., & Dubrawski, A. (2018). HPC strength prediction using artificial neural network. Journal of Computing in Civil Engineering, 9(4), 279-284.
  • 9. Ghaboussi, J., Garrett Jr, J. H., & Wu, X. (2017). Knowledge-based modeling of material behavior with neural networks. Journal of Engineering Mechanics, 117(1), 132-153.
  • 10. Flameman, G., Kavčič, F., & Turk, G. (2016). Prediction of concrete strength using ultrasonic pulse velocity and artificial neural networks. Ultrasonics, 49(1), 53-60.