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Analysing concrete quality in some Algerian construction sites by data structuring

Analysing concrete quality in some Algerian construction sites by data structuring In all manufacturing industries, managers are always looking for solutions to improve the quality of their products. Unfortunately this is less observable in the construction sector due to the numerous factors affecting the quality of concrete. This paper deals with the identification and quantification of parameters affecting the quality of ordinary concrete delivered on construction sites in a developing country. A methodology for structuring the related descriptive and technical data is used as a computer modeling infrastructure to create a database. The studied information is composed of project’s characteristics sets related to the client, the contractor, the engineering consulting firm, the concrete formulations, the aggregates types, the concrete testing data and the testing laboratories. In a second stage, this designed database is fed with data obtained from 276 construction projects in the region of Blida in Algeria. Also, many requests are defined and integrated to the data base to constitute an effective tool allowing the analysis of various parameters related to a project and impacting directly the quality of the concrete. The suggested tool has many advantages in terms of its compatibility with standard software, availability, accessibility and ease of use for non-specialists. Although the variability of compressive strength was not high, more than 1/3 of the projects studied did not meet the conformity criteria. The application of the filter criterion reduced the percentage of non-conforming concrete in the projects. This can be beneficial for the consumer risk by accepting less batches of concrete which leads to minimize cases of dispute cases on site in a developing country where the conformity criteria are seldom implemented. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Building Pathology and Rehabilitation Springer Journals

Analysing concrete quality in some Algerian construction sites by data structuring

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References (36)

Publisher
Springer Journals
Copyright
Copyright © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022
ISSN
2365-3159
eISSN
2365-3167
DOI
10.1007/s41024-022-00207-9
Publisher site
See Article on Publisher Site

Abstract

In all manufacturing industries, managers are always looking for solutions to improve the quality of their products. Unfortunately this is less observable in the construction sector due to the numerous factors affecting the quality of concrete. This paper deals with the identification and quantification of parameters affecting the quality of ordinary concrete delivered on construction sites in a developing country. A methodology for structuring the related descriptive and technical data is used as a computer modeling infrastructure to create a database. The studied information is composed of project’s characteristics sets related to the client, the contractor, the engineering consulting firm, the concrete formulations, the aggregates types, the concrete testing data and the testing laboratories. In a second stage, this designed database is fed with data obtained from 276 construction projects in the region of Blida in Algeria. Also, many requests are defined and integrated to the data base to constitute an effective tool allowing the analysis of various parameters related to a project and impacting directly the quality of the concrete. The suggested tool has many advantages in terms of its compatibility with standard software, availability, accessibility and ease of use for non-specialists. Although the variability of compressive strength was not high, more than 1/3 of the projects studied did not meet the conformity criteria. The application of the filter criterion reduced the percentage of non-conforming concrete in the projects. This can be beneficial for the consumer risk by accepting less batches of concrete which leads to minimize cases of dispute cases on site in a developing country where the conformity criteria are seldom implemented.

Journal

Journal of Building Pathology and RehabilitationSpringer Journals

Published: Dec 1, 2022

Keywords: Construction site; Concrete quality; Database; Case study; Statistical analysis

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