International Journal of Advanced and Applied Sciences

Int. j. adv. appl. sci.

EISSN: 2313-3724

Print ISSN: 2313-626X

Volume 4, Issue 7  (July 2017), Pages:  101-109

Title:  Statistical analysis of concrete strength variability for quality assessment: Case study of a Saudi construction project

Author(s):  Mohamed Aichouni *, Noureddine Ait Messaoudene, Mabrouk Touahmia, Abdulaziz Al-Ghonamy


College of Engineering, University of Hail, Hail, Saudi Arabia

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Quality control in ready-mixed concrete industry is increasingly emerging as a tool for achieving highest quality at lowest cost. In typical construction projects, compressive strength is the most important criterion for assessing the acceptability of a concrete batch from a given plant. Variability in compressive strength of concrete batches is inevitable in practice. This has lead researchers in the field of quality control to analyze the statistics of strength results in order to draw conclusions about quality level in concrete plants and ways to improve it. In the present research the quality of concrete materials is examined using well established quality control tools and techniques. The main objective of the study is to identify and evaluate opportunities for improvement in concrete production processes and in pouring methods of concrete. The results showed that management should set systematic procedures using quality tools such as histograms, control charts and fishbone diagrams, to analyze concrete strength data and detect any abnormal variation. 

© 2017 The Authors. Published by IASE.

This is an open access article under the CC BY-NC-ND license (

Keywords: Concrete, Compressive strength, Statistical analysis, Quality tools, Process improvement

Article History: Received 19 March 2017, Received in revised form 18 May 2017, Accepted 2 June 2017

Digital Object Identifier:


Aichouni M, Messaoudene NA, Touahmia M, and Al-Ghonamy  A (2017). Statistical analysis of concrete strength variability for quality assessment: Case study of a Saudi construction project. International Journal of Advanced and Applied Sciences, 4(7): 101-109


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