Statistical Analysis of the Variability in Shotcrete Strength

Statistical Analysis of the Variability in Shotcrete Strength

Atef Badr

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University of Portsmouth

Statistical Analysis of the Variability in Shotcrete Strength

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Abstract

The variability in the strength of sprayed concrete was investigated and compared to that of counterpart lab-cast concrete. Statistical parameters were utilised in order to analyse the results based on a statistical approach. Two types of sprayed concrete were investigated; plain and fibre reinforced. The variations in the results were examined within the same typeof sprayed concrete and between the two types. The statistical analysis indicated that the strength of the placed sprayed concrete had larger variations compared to lab-cast concrete. The number of replications of test specimens that is required to ensure an acceptable error at certain level of confidence was calculated for various error values and levels of confidence. It was found that while two cubes of lab-cast concrete could be enough to keep the error below 10% at 95% confidence level, 16 cores of sprayed concrete would be necessary. If only three specimens of sprayed concrete were tested, then the expected error could be as high as 25% and 20% at 95% and 90% confidence levels, respectively.

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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.

How to Cite This Article

Atef Badr. 2016. \u201cStatistical Analysis of the Variability in Shotcrete Strength\u201d. Global Journal of Research in Engineering - E: Civil & Structural GJRE-E Volume 16 (GJRE Volume 16 Issue E4): .

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GJRE Volume 16 Issue E4
Pg. 13- 23

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

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GJRE-E Classification: FOR Code: 090599

Submission ReceivedApril 11, 2016
Peer Review Double Blind
Handling Editor
Accepted May 5, 2016
Published May 15, 2016

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v1.2

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November 8, 2016

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Article Matrices

Total Score: 131

Country: United Kingdom

Subject: Global Journal of Research in Engineering - E: Civil & Structural

Authors: Atef Badr (PhD/Dr. count: 0)

View Count (all-time): 241

Total Views (Real + Logic): 4118

Total Downloads (simulated): 1772

Publish Date: 2016 11, Tue

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Total Views: 4118

Total Downloads: 1772

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